LG Smart TVs Log Ambient Audio, Map Local Networks for Ad Sales
Gamers Nexus
LG programs its television operating system to map household networks and log ambient speech because ad-targeting telemetry yields higher lifecycle profit margins than consumer display hardware.
LG Smart TVs can be transformed into covert eavesdropping and surveillance devices, facilitated largely by the native advertising and telemetry architecture embedded directly within the firmware. During testing, the team successfully retrieved plain-text transcripts of ambient voice conversations captured by the television, along with direct user voice inputs. Even more alarmingly, the television was manipulated to record audio via an attached microphone and capture video through a webcam while the display appeared completely powered off. Testing showed clean, uninterrupted captures:
> "All right, so the screen appears to be off right now. Currently, Wendell and I are in a border. How are you?" — "Yikes."
Microphone audio capture functioned continuously even when the physical Ethernet network cable was completely unplugged from an LG G5 OLED TV. While disconnected, the TV continued buffering and storing ambient room audio locally; the recorded conversation was subsequently exfiltrated through existing security vulnerabilities the moment network connectivity was restored.
```mermaid
flowchart TD
accTitle: Surveillance and Data Exfiltration Flow
accDescr: Flow diagram showing how local audio/network data is harvested and exfiltrated from the LG TV.
subgraph TVState["TV Operational State"]
D{"Network Status"}
E["Local Storage Buffer<br/>(TV Appears Off / Disconnected)"]
F["Active Exfiltration Pipeline"]
end
subgraph RemoteEndpoints["Remote Ingestion"]
G["Exploit Exfiltration / Adversary"]
H["LG Ad Solutions Servers<br/>(Fingerprints & ACR Telemetry)"]
end
A --> D
B --> D
C --> D
D -->|"Unplugged"| E
E -->|"Reconnected"| F
D -->|"Connected"| F
F --> G
F --> H
```
Beyond malicious third-party exploitation, LG’s out-of-the-box native behavior is an aggressive invasion of consumer privacy. During baseline network monitoring, the TV crawled the entire local subnet, cataloging dozens of unrelated client hardware units—including the personal smartwatches and smartphones of staff members who were not even involved in the testing. This discovery aligns with marketing claims published by LG Ad Solutions boasting knowledge of 363 million addressable secondary devices across the United States alone, despite only having 216 million Smart TVs deployed globally. LG openly advertises this cross-device tracking capability to corporate partners:
> "We know who's in the LG household. We know which devices are there. We know how to extend that reach into mobile."
Deep packet inspection using Wireshark and direct examination of decompiled firmware confirmed that stock LG TVs catalog:
- The external and internal IP addresses of the TV and other unconnected nodes on the network.
- Precise geographic geolocation data.
- The SSID (network name), signal strength (RSSI), and broadcast channels of every neighboring Wi-Fi network within radio frequency range.
- Full inventory details of secondary hardware active on the local area network.
The captured Wireshark telemetry logs were so sensitive and dense with identifying private data that the raw packet dumps could not even be broadcast uncensored on screen. In parallel with native data harvesting, security researchers collaborating on the investigation unearthed multiple unpatched remote code execution (RCE) flaws. Because these flaws are currently navigating formal coordinated disclosure timelines, exact vulnerability identifiers remain under embargo, but researchers strongly advise completely disconnecting any LG Smart TV from the local network.
[03:19](https://www.youtube.com/watch?v=6IFVTcM28KA&t=199s) ACR: "We Own the Glass"
The hardware's invasive monitoring originates from Automatic Content Recognition (ACR). In business-to-business presentations, LG Ad Solutions executives repeatedly assert outright ownership over the physical displays sitting in consumers' private living rooms. LG Ad Solutions President Serge Matta and Head of R&D Justin provide candid framing of their business model:
> "We have the glass. We own the glass. We own the TV... because, you know, we own the glass. And we have first-party ACR data, automated content recognition data. We understand everything that hits the screen."
Despite consumers paying retail prices upwards of $2,400 to $3,000 for high-end panels—some of which arrive with factory defects like warped panel curvature—LG's corporate posture is that the end user merely rents presence on screen real estate that LG controls. Serge Matta, who oversees this monetization ecosystem, was previously barred by the U.S. Securities and Exchange Commission (SEC) from serving as an officer or director of any public company following the settlement of civil fraud charges relating to accounting schemes; he now directs LG Ad Solutions' private telemetry operations.
ACR functions by taking continuous real-time acoustic samples and visual frame grabs directly from the display pipeline. This data is converted into cryptographic perceptual fingerprints and continuously phoned back to LG Ad Solutions' ingest servers. Many modern TV manufacturers now generate higher profit margins selling targeted advertising and surveillance telemetry than they generate from selling the physical television hardware itself.
[05:10](https://www.youtube.com/watch?v=6IFVTcM28KA&t=310s) The Bunker of Secrets
To verify the hardware behavior in controlled environments, the team drove to Level1Techs to collaborate with Wendell in his workshop. En route, they stopped at Best Buy to purchase an off-the-shelf retail LG G5 television specifically to execute a man-in-the-middle (MITM) proxy interception on a sealed unit.
Before diving into the teardown, a humorous legal disclaimer is offered regarding the term "hacking," citing Merriam-Webster's colloquial definition: "a usually creatively improvised solution to a computer hardware or programming problem or limitation." The team jokes that under legal principles, an individual cannot form a binding contract or consent to terms of service while under severe intoxication:
> "Our lawyers have made the totally unrelated point that we cannot legally agree to contracts such as terms of service or conditions while incredibly inebriated."
Surrounded by a Stanley tumbler supposedly packed with "180-proof margarita," the team stages mock-accidental checkbox agreements to demonstrate how easily voice-listening permissions and hands-free microphone triggers can be activated during out-of-box initial setup without informed user comprehension.
[07:10](https://www.youtube.com/watch?v=6IFVTcM28KA&t=430s) WE NEED YOUR HELP
The multi-month investigation demanded over $70,000 in direct out-of-pocket production expenses, more than 500 engineering hours, and the procurement of an entire fleet of commercial LG displays. To recoup these expenditures and fund ongoing investigative reports into smart-home surveillance, Gamers Nexus launched the independent "Data Dragnet" crowdfunding project.
Crowdfunding tiers and merchandise include:
- **LG Investigation Blu-ray Disc Packs**: Burned and verified in-house via disc duplicators, featuring thermally printed custom artwork satirizing the LG logo with a surveillance lens eye, housed in bespoke red 3D-printed cases produced by the GN print farm.
- **Physical "Dead Man's Switch" USB Drives**: Each 128 GB drive is cloned in-house containing an archival offline copy of the complete documentary video to protect the journalism against frivolous DMCA takedowns.
- **Backer Community Access**: Exclusive private live streams, behind-the-scenes engineering teardowns, and industry career Q&A panels.
- **Apparel**: The *Cyberpunk Skeleton* foil t-shirt featuring metallic red foil over internal circuit traces, and an updated *Polygon Shard V2* geometric foil shirt.
- **Novelty Collectibles**: 3D-printed paintable goblin figurines, e-waste inductor dice, and parody "Microslop" sticker packs.
This independent backing directly subsidizes in-depth technical investigations and traditional hardware reviews, which frequently run at an operational loss due to rising market component costs and production overhead.
[10:06](https://www.youtube.com/watch?v=6IFVTcM28KA&t=606s) The Investigation Scope and the Fallacy of "Just Unplug It"
Gamers Nexus outlines the sweeping extent of their investigation into LG Smart TVs. The scope covers LG's first-party Automatic Content Recognition (ACR) technology, engineered to compile granular personal profiles that monitor not just primary viewing habits, but every secondary device operating within the same household. The investigation also delves into the sale of this telemetry data, LG Ad Solutions' political campaign targeting pitched at courting "voters that matter," and an exhaustive review of more than 40,000 words across LG's binding consumer legal agreements—including quiet revisions made to their class action waivers following Gamers Nexus' initial coverage. On top of these built-in surveillance features, the team successfully hacked the televisions themselves.
A widespread misconception across online discussions is the assumption that simply disconnecting a TV from an Ethernet cable or unlinking the home Wi-Fi network renders it harmless. Gamers Nexus cautions that even utilizing an LG Smart TV strictly as an offline "dumb monitor" does not guarantee privacy. Many major Internet Service Providers (ISPs) broadcast dual SSIDs from their customer gateways, generating widespread public networks such as Comcast's Xfinity neighborhood hotspots or AT&T's public Wi-Fi. In dense environments like apartment complexes, televisions and smart appliances can automatically discover and link to these open neighborhood broadcasts without user intervention, creating persistent outbound channels for telemetry.
[11:14](https://www.youtube.com/watch?v=6IFVTcM28KA&t=674s) Corporate Proxies, Medical Privacy, and DMCA Section 1201
The risks posed by smart TV surveillance reach far beyond residential homes. Gamers Nexus interviews specialists across healthcare, cybersecurity, and consumer law to illustrate how pervasive networked displays impact sensitive environments. A robotic general surgeon raises urgent patient privacy questions, pointing out the dilemma of conducting remote patient video visits or taking clinical phone calls in rooms where commercial LG monitors hang in the background, potentially capturing protected health information without consent. From a pure security posture, cybersecurity experts note that an exploited smart television becomes an ideal foothold inside an organization:
> "Let's say worst case scenario, you turn it into a listening device. That seems pretty straightforward. You turn it into a device to exfiltrate information from a corporate network or a boardroom... It is perfectly functional as a proxy. So, you can proxy internet traffic and I can just, it's like, oh, I'm going to use this to move laterally through somebody's network... Fancy Bear would be very comfortable inside an LG TV."
Confronting this ecosystem requires legal intervention, prompting Gamers Nexus to coordinate directly with lawmakers in Washington, D.C., and tour with Louis Rossmann to advocate for legislative safeguards. A major legal hurdle facing consumers is Section 1201 of the Digital Millennium Copyright Act (DMCA). Under DMCA 1201, circumventing a digital access control or "digital lock" to strip invasive spyware out of a purchased TV's operating system constitutes a federal copyright violation. While users can toggle internal menu switches, there is no reliable way to verify data collection has actually stopped without modifying the software directly—an act the law criminalizes.
```mermaid
flowchart TD
accTitle: Smart TV Exploitation and Compromise Vector
accDescr: Diagram illustrating how an attacker leverages an unpatched smart display to establish a network foothold and exfiltrate data.
subgraph External["External Network"]
Attacker["Remote Attacker / Threat Actor"]
end
subgraph Perimeter["Target Network Boundary"]
Display["Compromised Smart TV / Monitor"]
end
subgraph Internal["Internal Network / Physical Space"]
Room["Ambient Audio & Clinical / Boardroom Video"]
Lateral["Internal Devices & Lateral Movement Targets"]
end
[13:19](https://www.youtube.com/watch?v=6IFVTcM28KA&t=799s) Automatic Content Recognition: "We Own the Glass"
At the center of LG's native tracking apparatus is Automatic Content Recognition (ACR). ACR continuously samples and fingerprints media running across the panel, taking ongoing screen grabs of display output and recording audio snippets from the TV's speakers—regardless of whether the content originates from built-in apps, cable, or an external PC connected via HDMI. These acoustic and visual samples are converted into cryptographic digital hashes and matched in real time against massive media databases to log consumer behavior.
LG Ad Solutions executives describe this capability not as an optional service, but as total domain over the hardware. In their own promotional business-to-business presentations, executives boast:
> "We know who's in the LG household. We know which devices are there. We know what you're exposed to on TV and we know how to extend that reach into mobile... We own the glass. We own the TV. We own the glass."
By controlling both the physical screen and the underlying operating system, LG pairs big-screen exposure with cross-device tracking. Executives outline using real-time AI and contextual targeting down to individual scene frames: if ACR scans an on-screen sequence and detects an actor standing at a bar, the system can instantly inject a matching alcoholic beverage advertisement into the commercial break or push targeted promotional material directly to the smartphone resting in the viewer's hand.
[15:30](https://www.youtube.com/watch?v=6IFVTcM28KA&t=930s) LG Everywhere: Sensitive Environments and Potential Capabilities
Smart TVs with ACR capability are ubiquitous across public and institutional spaces. LG displays are mounted throughout hospitals, outpatient clinics, patient waiting areas, exam rooms, conference rooms, college athletic locker rooms, hotels, and short-term rentals where screens are positioned directly facing beds. Gamers Nexus highlights a public social media post from a dental practice featuring an off-the-shelf LG C4 OLED display actively showing unmasked, confidential dental records and patient medical files.
The concern is not that every commercial TV is actively operating as a hostile listening bug. Rather, the concern is systemic: when native surveillance pipelines and software vulnerabilities exist in standard consumer firmware, any display deployed in a law firm, executive boardroom, or private living room possesses the latent technical capability to be turned into an ambient surveillance device.
[16:33](https://www.youtube.com/watch?v=6IFVTcM28KA&t=993s) Intercepting the Network: Firmware Analysis and LAN Sweeps
To uncover what an LG Smart TV transmits behind the scenes, Gamers Nexus worked alongside three independent security researchers: MrBruh (known for discovering vulnerabilities across MSI, AMD, and LG systems), uturn (a researcher focused on router and embedded network device vulnerabilities), and Wendell of Level1Techs. The team configured a hardware traffic interceptor and analyzed decrypted, decompiled LG firmware extracted with assistance from the TV jailbreaking community.
The packet captures revealed that the LG TV executes active reverse network sweeps across the local area network (LAN). It systematically queries connected hardware, gathering display names, Wi-Fi signal strengths, and hardware MAC addresses. During testing, the television cataloged at least 38 distinct devices on the local network, compiling a detailed inventory that swept up:
- A Prusa XL 3D printer and an ESP32-S3 microcontroller development board
- A network-connected air purifier
- An editing workstation running TeamViewer, which was swept up in the query's "blast radius"
- Gamers Nexus internal media servers
- Staff smartphones, including a Samsung Galaxy S23 (revealing the staff member's username), a Galaxy Note 9, Google Pixels, and iPhones
- Smartwatches, internal network gateways, switches, and a secondary Alienware editing PC
- Connected smart thermostats and HVAC control units
The discovery of the HVAC hardware is particularly pointed: LG operates a massive commercial business manufacturing air conditioners and HVAC hardware. A television plugged into a home network can profile the user's climate control hardware, laying the groundwork for targeted advertisements. Furthermore, through LG's Alphonso advertising platform, the TV routinely logs and transmits non-resettable device UUIDs, proprietary Alphonso user IDs, LG advertising IDs, active inputs, active running applications, and precise Wi-Fi signal metrics.
[19:14](https://www.youtube.com/watch?v=6IFVTcM28KA&t=1154s) Granular Telemetry, Alphonso ACR, and Network Harvesting
The breadth of data exfiltrated by LG smart TVs extends well beyond simple diagnostic pings. Analysis reveals that the display transmits system power on/off timestamps, user privacy consent flags (recording whether consent was granted or denied), precise location information, and nearby Wi-Fi network scans. Wendell's research confirmed that scanning surrounding Wi-Fi environments provides LG with enough contextual data to triangulate and geolocate the hardware. Furthermore, whenever an end-user views, hovers over, or clicks on an ad, LG packages up their locale, language preferences, and device IDs to ship off to third-party ad brokers.
```mermaid
flowchart TD
accTitle: LG TV Data Harvesting and Alphonso Telemetry Flow
accDescr: Diagram illustrating how an LG Smart TV harvests Wi-Fi scans, HDMI content, and IPTV queries, exfiltrating gigabytes of data to Alphonso and analytics endpoints.
subgraph Inputs ["Data Collection Vector"]
A["LG Smart TV Engine"] -->|"Scans LAN & Neighbor SSIDs"| B["Wi-Fi / LAN Footprint"]
A -->|"Active HDMI Feed"| C["Alphonso ACR Engine"]
A -->|"IPTV Viewing"| D["LG Channels DNS Queries"]
end
subgraph Processing ["Device Telemetry Processing"]
B --> E["Device ID & Location Mapping"]
C -->|"Downsample 8kHz / 40x 100ms FFT"| F["Audio Text Fingerprints"]
D -->|"Plaintext Resolution"| G["Real-Time Channel Identification"]
end
subgraph Exfiltration ["Outbound Exfiltration (~4 GB/mo)"]
E --> H["LG Customer Data Platforms"]
F --> I["Alphonso Telemetry Endpoints"]
G --> J["Kviva / Ad Analytics / Third Parties"]
end
```
The native "LG Channels" IPTV service introduces acute privacy liabilities. Operating like traditional cable TV with feeds like CNN, Fox, or MSNBC, it operates under relentless logging managed by LG's Alphonso Automatic Content Recognition (ACR) system. Packet captures provided to researcher MrBruh showed telemetry endpoints pinging every 75 to 90 seconds, every 300 seconds, or at baseline intervals of every 5 to 10 minutes. Even physical HDMI input feeds were subjected to ACR fingerprinting. While traces of Google Ads and Amazon Ads were present, services like Conviva video analytics maintained a persistent unique fingerprint for the display. MrBruh summarized the complete lack of network isolation:
> "There's no privacy when watching IPTV via LG Channels, as the DNS requests made can be reversed to determine what channel you are watching at any given time. This is available to anyone on the LAN or your ISP or the government by extension."
Inspecting outbound traffic reveals raw DNS queries broadcasting consumption habits in clear text: `CNN US` resolves while watching CNN, `NBCN` while tuned into NBC News Now, and `Fox Digital WTTG` for regional broadcasting. The TV also sweeps the local subnet to index all connected hardware. As MrBruh noted, while device discovery serves some legitimate utility for mapping network shares, it doubles as consumer intelligence: an owner operating an iPhone 12 on the same Wi-Fi subnet can be targeted on-screen with ads for an iPhone 17. The resulting ACR footprint alone funnels approximately 4 GB of text-based fingerprint data to LG servers each month. Because home subnets have highly distinct network fingerprints, swapping an opted-out TV for another networked appliance—such as a smart LG air purifier—can link previous behavioral dossiers straight back to the household.
- **Exfiltrated Parameters:** Power state transitions, opt-in/opt-out status flags, detected adjacent BSSIDs/Wi-Fi networks, UI hover events, and device identifiers.
- **ACR Heartbeat Cadence:** Variable bursts firing every 75–90 seconds, 300 seconds, or baseline pings every 5–10 minutes.
- **Estimated Upstream Volume:** Roughly 4 GB per month generated exclusively by ACR text fingerprints.
---
[22:04](https://www.youtube.com/watch?v=6IFVTcM28KA&t=1324s) Dark Patterns and Flawed Cryptography in the Opt-Out Flow
Navigating the settings interface exposes severe dark patterns engineered to obfuscate tracking states. Toggles intended to stop the sale of personal information are buried deep in secondary menus and defaulted to the off state on tested units—even before connecting the set to a network or signing terms of service. Firmware updates push tracking identifiers onto multi-year-old hardware without requesting updated consent. Software versions also deploy an innocuous-looking "cookies" toggle that is turned off by default; this toggle actually governs "advertising frequency capping cookies," an internal tracking mechanism that monitors ad display repetitions across sessions. In addition, downloading an app legally binds the owner to two agreements, yet the interface surfaces six contracts with "Select All" pre-checked. Opening the downloaded application then demands three agreements, yet presents four with "Select All" pre-selected once again.
Exercising an opt-out triggers its own set of questionable behaviors. Decompiled firmware shows that rejecting agreements causes the system to transmit one final data snapshot directly to Alphonso. The display continues firing baseline online beacons containing an `X-Device-ID` header. When fully opted out, the operating system shifts from hashing the physical MAC address to utilizing the vendor-level MAC OUI (Organizationally Unique Identifier). However, flaws in LG's cryptographic implementation compromise the intended anonymization:
> "It generates the device ID by combining a random salt generated on boot with the device's MAC address. Normally, this is done using a process called hashing, where it generates a pseudo-random output based on an input, and it cannot be reversed. However, LG chose to encrypt the MAC address and random salt instead of hashing it. This means anyone who has the model secret key can reverse the device ID and recover the MAC address, which means the advertisers would have a persistent identifier that is not random and no longer changes on reboot."
Because LG stores this static model encryption key directly inside `/mnt/lg/cmn_data/log/`, extracting it from a rooted or jailbroken TV of the same model family allows complete de-anonymization of advertising telemetry back to original MAC addresses. Opting out sends an explicit cancellation packet that itself carries the TV's hardware MAC address along with a complete snapshot of user telemetry to Alphonso.
- **Interface Coercion:** "Select All" selections pushed on setup dialogs (presenting 6 agreements when only 2 are mandatory; presenting 4 agreements when only 3 are required).
- **Misleading Cookie Controls:** The internal cookies setting does not prevent tracking, but controls frequency capping metrics for campaigns.
- **Cryptographic Error:** Uses reversible symmetric encryption with an extractable model key instead of a one-way salted cryptographic hash.
---
[26:08](https://www.youtube.com/watch?v=6IFVTcM28KA&t=1568s) ACR Signal Processing, Offline Ingestion, and Dumb Display Testing
The digital signal pipeline responsible for capturing media fingerprints operates aggressively. MrBruh detailed the audio processing mechanics: the core service captures outgoing or incoming audio, downsamples the audio track down to an 8 kHz mono stream, runs a Fast Fourier Transform (FFT) across 40 distinct 100-millisecond windows, aggregates the FFT transformations into an identification fingerprint, and dispatches the payload to Alphonso servers.
Critically, clicking "Select All" during out-of-box provisioning authorizes ACR scanning mechanisms that persist even if the ethernet or Wi-Fi link is later severed. Citing an investigation by the Center for Digital Democracy published in *The New York Times*, ACR services on tested LG and Samsung sets continue parsing and caching environmental audiovisual data while the hardware is offline, queueing the telemetry for transmission whenever an internet route is re-established. Disconnecting the display to use it strictly as an external PC monitor does not halt local ACR indexing if terms were accepted initially.
To measure network footprint without broad consent, Gamers Nexus evaluated an LG G3 OLED display deployed as a "dumb monitor" tethered to a laptop via HDMI, configuring port mirroring on a network switch to log traffic via Wireshark. When zero terms of service or user agreements were accepted, ACR extraction halted; however, the operating system routinely executed device subnet sweeps and established continuous outbound handshakes with eight discrete destinations tied to LG's Customer Data Platform and Smart Advertising infrastructures. Over a single hour of operation as an offline HDMI monitor with active WAN access, the zero-agreement setup transacted roughly 8.9 MB of data across 38 unique DNS lookups—scaling to an estimated 6.4 GB of unprompted baseline chatter every month.
[29:12](https://www.youtube.com/watch?v=6IFVTcM28KA&t=1752s) Network Traffic and Local Device Snooping
Even when used strictly as a basic display without launching smart apps, LG TVs actively canvas the local network. Network packet analysis in Wireshark revealed that the television persistently probed for other devices across the local subnet, scanning for the studio's TrueNAS server, desktop PCs, smartphones, network switches, office printers, 3D printers, and various internal IP addresses. In addition to cataloging local network hardware, the Wireshark logs contained identifiable device MAC addresses being packaged and sent outbound to LG servers.
Testing an LG G3 OLED configured purely as a "dumb monitor" (after initially accepting the terms of service) revealed that the TV established connections to 29 distinct endpoints a total of 107 times over a single capture session. Of those, 44 connections were directed specifically to Alphonso ACR (Automatic Content Recognition), exfiltrating 4 MB of data.
To evaluate newer sets, two 50-minute network capture samples were recorded using a 43-inch LG QNED TV under two operating conditions:
| Setup Scenario | Distinct Endpoints | Total Connections | Connections to Alphonso ACR | Data Uploaded |
|:--- |:--- |:--- |:--- |:--- |
| **QNED as Dumb Monitor** | 22 | 157 | 54 | 5.2 MB |
| **QNED on LG Channels** | 60 | 847 | 618 | 4.5 MB |
This aggressive data transmission stands in stark contrast to LG's official public claims. When promoting its upgraded ACR technology in 2022, LG stated:
> "The ACR data, which is in compliance with all global and regional consumer data privacy regulations, helps brands understand in an anonymized fashion how frequent certain TV ads were aired in any given household."
The discovery that the sets actively harvest local MAC addresses and device identities directly undermines the claim of anonymized, benign ad tracking, prompting Wendell to wryly characterize the contradiction with a deadpan "Oopsy doodle."
[30:58](https://www.youtube.com/watch?v=6IFVTcM28KA&t=1858s) Intercepting the Command-and-Control Server: MitM and Certificate Stores
Analyzing the exact contents of the data packages sent to LG proved challenging because outbound traffic is encrypted over TLS/SSL. Wendell observed that the television's outbound telemetry closely mimics the architecture of malware reporting back to a command-and-control (C2) server. Because an ordinary network sniffer cannot "peel back the linoleum" on encrypted traffic, decrypting the payload requires establishing a man-in-the-middle (MitM) proxy by injecting a custom root certificate into the television's trust store.
```mermaid
flowchart TD
accTitle: Custom Certificate Proxy Architecture
accDescr: Flowchart illustrating how a researcher intercepts and decrypts TV telemetry using a custom certificate proxy before forwarding it to LG servers.
subgraph TV["Compromised LG TV"]
direction TB
APP["WebOS Custom Machinery<br/>(Chromium Engine)"]
STORE["Injected Custom<br/>Certificate Store"]
APP --> STORE
end
subgraph Proxy["MitM Inspection Station"]
INSPECT["Decrypted Payload Inspection<br/>(Wireshark / Proxy)"]
end
subgraph Remote["LG Infrastructure"]
LGC2["LG / Alphonso Servers<br/>(Command & Control)"]
end
In an ordinary enterprise deployment, loading custom certificates onto commercial-grade LG panels is fully supported so businesses can monitor their corporate network traffic. However, LG explicitly locks down residential consumer TVs to prevent owners from installing custom certificates. Wendell questioned why LG would deliberately handicap consumer sets in this way unless the company specifically wanted to conceal the device's diagnostic capabilities and background surveillance from the end user.
Further complicating the audit, LG built redundant defenses into webOS. While some network traffic was surprisingly broadcast in unencrypted plain text (exposing it to local network eavesdroppers and ISPs), encrypted communications failed to route through standard proxy setups. LG bypassed the underlying Linux operating system's native certificate store by embedding a secondary, proprietary trust store within custom Chromium-based browser application machinery (`com.webos.app`). Inspecting this traffic required rooting the TV and manually injecting custom root certificates directly into the memory of running system processes to force the TV's browser runtime to trust the inspection proxy.
[34:16](https://www.youtube.com/watch?v=6IFVTcM28KA&t=2056s) Hacking the TV: Non-Interactive Root Exploits and PDM Microphones
To investigate the full attack surface created by LG's software stack, the team rooted the television. This access allowed them to audit low-level system behavior and demonstrate how an attacker could exploit LG's lax firmware security. Security researcher MrBruh developed an exploit capable of compromising the television non-interactively over the local network without requiring any user confirmation or displaying any on-screen warnings. In environments such as a corporate conference room or hotel where a TV is connected to public Wi-Fi, a remote actor on the same subnet could silently gain persistent root access.
Once root was achieved, Wendell demonstrated that the TV could be converted into a surveillance bug—recording room audio through internal microphones even before the user had ever consented to LG's voice recognition agreements.
Steve played back a raw audio clip captured from the TV's integrated pulse-density modulation (PDM) wake-on-voice microphone. Initially, the file produced nothing more than a harsh blast of digital static. However, after applying a high-pass filter, muting the corrupted static channel, and adjusting the pitch and frequency of the remaining channel, clear human speech emerged from the recording:
> "No, it's trying to... to sample audio and then..."
While recovering the audio required signal processing, an attacker could easily automate the pipeline. The fundamental security problem is not simply making TV microphones more secure, but asking why hardware microphones are embedded in living room televisions in the first place—where their primary purpose is serving LG's advertising and data-harvesting business models.
- Attackers can exploit unpatched webOS vulnerabilities non-interactively across a local network without user interaction.
- Wake-on-voice PDM microphones remain live and accessible to the operating system even when users explicitly refuse voice agreements.
- Raw pulse-density audio streams can be filtered and frequency-shifted to extract intelligible room conversations.
[36:27](https://www.youtube.com/watch?v=6IFVTcM28KA&t=2187s) The "Mute" Illusion and the Array of Audio Capture Attack Surfaces
The team uncovered an even more alarming discovery while testing other microphone operating states. In one scenario, an exfiltrated audio stream appeared completely silent. The waveform displayed a flat line resembling total zero-signal dead silence. Upon microscopic visual inspection of the audio track, Steve noticed slight waveform deviations measuring only a couple of pixels tall.
Steve applied +50 dB of digital amplification to the track, which revealed structural audio patterns, followed by another +50 dB of gain (+100 dB total boost). The resulting sound was instantly recognizable, playing back a clear, albeit slightly warbled, voice recording:
> "Hello. This is another 32-bit test."
This test demonstrated that LG's software "mute" function did not physically sever power to the microphone or disconnect the hardware channel. Instead, the TV merely reduced the microphone input gain to near-zero in software. Because the audio pipeline remained active, ambient acoustic data was still being digitized and could be recovered through basic amplification.
Even on TV models equipped with a physical microphone slider switch, user privacy is far from guaranteed. Wendell opened a remote root shell into the television to inspect the underlying audio subsystem. The shell revealed a vast internal index of audio capture devices recognized by webOS. While the physical switch may cut the internal microphone element, the operating system still retains the capability to record from multiple alternate pathways:
- HDMI audio return and pass-through channels.
- Paired Bluetooth devices.
- Attached USB devices, including webcams and USB-connected conference speakers.
- Connected soundbars or home theater stereo systems equipped with room-calibration or echo-cancellation microphones.
[39:11](https://www.youtube.com/watch?v=6IFVTcM28KA&t=2351s) Hijacking the Remote Microphone and Suppressing the UI
Wendell demonstrates that disabling the built-in microphone switch on an LG Smart TV does remarkably little to stop the system from listening. While the onboard hardware toggle may appear deactivated, auxiliary input paths remain live. Grabbing the LG Magic Remote, Wendell holds down its microphone button to query, "Is it all about the Pentiums?" Even though the TV's internal mic toggle is turned off, the TV actively processes the input, searches, and serves up an AI-driven prompt advising the user to consult Copilot or YouTube.
```mermaid
flowchart TD
accTitle: Audio Input Paths and Exploit Hijacking on LG Smart TVs
accDescr: Flow diagram showing how various hardware inputs feed into the TV's Linux OS and can be intercepted by an attacker.
subgraph Inputs["Audio Hardware Inputs"]
A["Built-in Mic Switch (Toggled Off)"]
B["Magic Remote Mic (Push-to-Talk)"]
C["Connected USB Webcam"]
end
A -.->|"Hardware blocked / Suspect"| D
B -->|"Button Press Event"| D
C -->|"Continuous Feed"| D
D --> E
D --> F
F -->|"Suppress"| E
F -->|"Record secretly"| G
```
Taking the demonstration further, Wendell reveals a custom program running locally on the TV. When he presses the remote's microphone button this time, the display shows no visual feedback—the on-screen voice prompt, animations, and pop-ups are completely suppressed. Behind the scenes, the remote establishes a temporary audio device endpoint (`voice input remote 1`), and Wendell intercepts the raw stream directly from the shell. By commandeering the underlying Linux operating system, an adversary can selectively repurpose peripheral audio streams while keeping the user entirely in the dark. As Wendell emphasizes, "The sky's the limit in terms of creativity because it's a powerful computer behind the glass and the hacker will own the glass."
- Even when the TV's physical switch reports the microphone is disabled, alternate input pathways—such as remote-based voice controls—remain fully operational.
- By manipulating background processes, an attacker can suppress UI overlays and silently ingest microphone feeds.
- Pushing commands directly over the local network or through shell access allows an adversary to toggle software menus and forcefully re-enable AI voice recognition settings without user interaction.
- The voice capture subsystem works at the lower OS level regardless of whether a user has accepted or declined LG's end-user agreements.
[42:04](https://www.youtube.com/watch?v=6IFVTcM28KA&t=2524s) Offline Recording and Bypassing the Physical Switch
Wendell and the Gamers Nexus team address the reality of what modern smart displays actually are: fully capable Linux computers hiding behind panels. To prove how dangerous unmonitored local access can be, Wendell demonstrates that an LG G5 OLED can act as a covert wiretap even when completely disconnected from the internet. With an exploit script logging audio from the TV's smart far-field microphone array, the team unplugs the network cable while Steve continues speaking.
The TV continues diligently capturing and storing audio to local storage while completely offline. Once Wendell plugs the network cable back in, he pulls the cached 30-second audio snippet straight off the file system and plays it back with crystal clarity. The far-field mic, normally deployed for room acoustics calibration and wake words, functions effortlessly as a bugging device.
The team also probes the TV's supposed physical cutoff toggle. While switching it off triggers a system banner stating the built-in microphone is disabled, it leaves auxiliary interfaces wide open. With a standard generic USB webcam plugged into the back—functioning identically to LG's official branded USB camera accessory—the TV happily records crisp room audio straight from the external mic. The prompt specifically choosing the phrase "built-in microphone" highlights what the hosts criticize as legalistic "weasel words" that deceive owners into believing their physical space is unmonitored.
[44:58](https://www.youtube.com/watch?v=6IFVTcM28KA&t=2698s) The Fake Standby "Rugpull" Demo
To illustrate the threat model in a corporate or hospitality environment, Steve and Wendell stage a covert boardroom meeting. With the TV screen completely dark and seemingly powered down in standby mode, the pair pretend to coordinate a fraudulent cryptocurrency venture: "Wendell and I are in a boardroom to discuss our new cryptocoin rugpull scam. We don't want anyone to hear about this." Because the screen gives the appearance of being turned off, meeting participants would naturally assume no ambient monitoring could occur.
Moments later, Wendell pulls up the recording captured by the sleeping TV and plays back their entire mock conversation verbatim. Achieving this level of surveillance required very little trial and error—taking roughly an hour to ninety minutes of tinkering with basic shell commands. As Steve notes, if an independent hardware review outlet can turn a smart TV into a room bug over an afternoon, a well-resourced nation-state actor or agency like the NSA would find it trivial to exploit these sets deployed in hotel rooms, executive suites, and corporate offices.
[46:19](https://www.youtube.com/watch?v=6IFVTcM28KA&t=2779s) Plain Text Memory Logs and the Ambient Audio Debate
Transitioning from third-party exploits to first-party behavior, the investigation examines how the TV inherently handles conversational data. Examining the live memory of the system reveals that the smart TV transcribes captured voice inputs directly into plain text logs that persist in system memory. Poking fun at the monitor, Steve recites arbitrary private data: "Wendell, pass the 180-proof Kentucky bourbon... My personally identifiable information is as follows. Birthday January 1st... My social security number is 11111."
Inspect the running processes, and the text strings appear logged directly inside the memory space of the voice input keyboard daemon. A process named `Voice agent result input voice keyboard` can be seen continuously running and ingesting text. This directly challenges LG's formal PR statements. In response to previous Gamers Nexus coverage, LG issued an explicit denial:
> "LG Electronics, LG, reaffirms that LG TVs do not collect, record, or store ambient conversations."
However, during real-world use, any speech occurring within the trigger window—or immediately following a voice prompt before the buffer closes—is faithfully parsed, transcribed, and logged in plaintext. Wendell even points to the TV's own voice recognition setup menu, which outright contradicts the company's PR statement by warning users: "Excessive ambient noise around the TV may affect hands-free voice control performance." The device is inherently engineered to ingest the ambient auditory environment, raising serious privacy concerns regarding how long those plain text records persist and where they are uploaded.
[48:54](https://www.youtube.com/watch?v=6IFVTcM28KA&t=2934s) Ambient Conversation Capture and the Prolonged Listening Window
The investigation reveals how the LG Smart TV captures ambient conversation long after a user finishes giving a voice command. Following the "Hi LG" trigger phrase, the TV's input window remains active and continues to record audio even after ten full seconds of absolute silence. Gamers Nexus notes with disbelief just how long that recording window lingers. When testing voice queries around known LG advertising partners—such as asking Wendell for car recommendations and joking about buying a Jeep Grand Cherokee because LG partners with Jeep, or inquiring about LG's partner MGM and the Venetian in Las Vegas—the TV suddenly ingests the entire casual dialogue. It then spits back search results quoting their word-for-word conversation: *"Here are the search results for Wendell. Do you have any automobile or car recommendations? I am in the market for a new vehicle. Oh, yes. We will be buying the Jeep Grand Cherokee..."*
```mermaid
flowchart TD
accTitle: LG TV Ambient Audio Capture Flow
accDescr: Diagram illustrating how the voice trigger activates an extended recording window that logs ambient conversation.
subgraph Trigger["Activation"]
A["Voice Trigger: 'Hi LG'"]
end
subgraph Ingestion["Capture Window"]
B["TV Mic Records Target Command"]
C["Mic Stays Open During Ambient Dialogue"]
D["10-15 Second Silence Timeout Needed to Stop"]
end
subgraph Logging["Data Handling"]
E["Logs Store Plaintext Conversation"]
F["TV Builds Voice Profile of Speakers"]
end
A --> B
B --> C
C --> D
C --> E
E --> F
```
Examining the raw logs on screen confirms that the TV transcribed their ambient banter, logging everything said even when neither person was addressing the television. The TV simply refuses to stop listening as long as speech noises continue, keeping the microphone buffer open until all room noise halts for approximately 10 to 15 seconds. At one point, after a prolonged pause, the TV displays *"Voice is not recognized,"* prompting the observation that the television is actively attempting to profile individual household speakers.
[51:58](https://www.youtube.com/watch?v=6IFVTcM28KA&t=3118s) Extreme Microphone Range and Distance Testing
To determine the physical limits of the TV's onboard hardware, the team tests how far away the microphone can capture voice commands. Increasing the microphone sensitivity reveals astonishing acoustic reach. Steve walks across the facility while speaking at a conversational, relatively low volume:
* At distances exceeding 40 feet, the TV cleanly detects the wake phrase ("Hi LG") and processes queries regarding a "2026 Jeep Wrangler, black, all-wheel drive" and Las Vegas casino resorts.
* The crew inside the room has to strain to hear Steve, remarking that the TV's integrated microphone might actually outperform their production microphones.
* Testing continues up to nearly 70 feet away across a 60-foot-wide commercial building, and the TV still reliably picks up speech.
This capability poses serious privacy risks: if someone in an adjacent room triggers the TV or if the listening window remains open, people holding unrelated, private conversations dozens of feet away can have their words recorded and sent upstream.
[55:19](https://www.youtube.com/watch?v=6IFVTcM28KA&t=3319s) Recording Playback Audio: The Boardroom Vulnerability
The threat profile escalates beyond the TV's ambient microphone when Wendell demonstrates how an attacker or rogue software on the local network can exploit the TV to capture audio being played through its speakers. Gamers Nexus sets up a simulated corporate scenario: an emergency executive boardroom meeting where a remote CEO discusses confidential company actions over a conference display. To illustrate the corporate espionage risk, the team stages a spoof conference call discussing a hypothetical "billion dollars of Supermicro servers" shipment:
```mermaid
flowchart LR
accTitle: Display Audio Capture Vector
accDescr: Flow diagram showing how internal TV access allows interception of external PC HDMI audio output.
subgraph External["Source Device"]
PC["Conference PC / Laptop"]
end
subgraph TV["Compromised LG TV (webOS)"]
HDMI["Display & Speakers Play Audio"]
Tap["Internal Audio Buffer / webOS Process"]
end
subgraph Exfiltration["Adversary / Collector"]
Log["Audio Stream Intercepted / Stored"]
end
PC -->|"Clean Audio Feed"| HDMI
HDMI --> Tap
Tap --> Log
```
Even though the PC sending the call is completely clean and uncompromised, the LG TV functions as an autonomous Linux box. Once compromised—whether by LG itself updating telemetry behaviors or by a network adversary exploiting known webOS vulnerabilities—the display hardware can tap its own audio output stream. Wendell successfully records the entire conference call directly off the TV's audio pipeline with crystal-clear audio fidelity.
The security implications for enterprise and commercial environments are severe:
- Standard corporate IT departments are poorly equipped to catch this behavior because smart TVs routinely phone home to dozens of obscure domains.
- An attacker can easily blend data exfiltration into standard telemetry by registering convincing typosquat or lookalike domains (such as `lgitservices.com` or `lgadstelemetry.com`).
- Because webOS is an underlying Linux system, an attacker with local execution privileges can treat the TV as a covert listening post inside conference rooms, doctor's offices, or executive suites.
[58:42](https://www.youtube.com/watch?v=6IFVTcM28KA&t=3522s) webOS App Store Residential Proxies
Beyond unauthorized audio interception, LG Smart TVs have suffered from widespread abuse that turns consumer hardware into proxy networks. Gamers Nexus highlights a June investigation by cybersecurity research firm Spur, which audited the LG webOS app store and discovered that 1,213 out of 2,851 tested applications—nearly 43% of the catalog—contained code enabling customer TVs to be transformed into residential proxies.
A residential proxy routes external internet traffic through an IP address legitimately assigned to an everyday home by an internet service provider (ISP). To anti-fraud systems, the traffic appears to originate from a standard residential fiber, cable, or broadband connection rather than a known datacenter or commercial cloud network. Spur discovered that proxy operating companies were frequently the actual publishers behind these webOS apps, effectively treating simple TV utilities or games as thin wrappers designed solely to acquire domestic IP addresses. While competing TV operating systems like Roku and Amazon had already instituted strict bans against apps running third-party proxy code, LG permitted them on its store. Spur warned:
> "A one-time consent prompt buried in a TV app is not a substitute for meaningful transparency, ongoing control, and platform oversight. The risk is amplified when consent comes from individuals within the household who use the device but shouldn't give consent, such as minors."
When approached by *Krebs on Security* regarding Spur's findings, LG Senior Vice President John Taylor admitted that running a residential proxy network was not an intended use case for their platform.
[01:00:22](https://www.youtube.com/watch?v=6IFVTcM28KA&t=3622s) App Store Vetting Failures and UPnP LAN Vulnerabilities
In response to reports about residential proxies operating on its platform, LG Electronics stated that it is actively collaborating with developers to strip residential proxy capabilities from webOS apps, warning that non-compliant apps will be suspended. Gamers Nexus argues that this reaction is grossly insufficient. It is practically impossible that LG was genuinely oblivious to the fact that over 1,200 apps in its webOS store embedded residential proxy SDKs. If LG truly had no idea until Spur published its findings or contacted them, then LG acted with sheer negligence by failing to enforce even elementary vetting procedures before approving software into its ecosystem.
The security lapses run even deeper. Independent security researcher MrBruh uncovered an alarming architectural flaw tied to app permissions on webOS:
> "For any third party that obtains standard partner trust for the app store, their app can list and control any UPnP or Universal Plug and Play devices on the LAN. They have an API that any standard app can call with e.g. list devices, list services, list service actions, list state variables, request action, request subscription, register, unregister."
```mermaid
flowchart TD
accTitle: webOS UPnP Exposure Flow
accDescr: Diagram illustrating how a untrusted webOS app with partner trust can access UPnP devices on a local area network.
subgraph TV["LG webOS TV"]
APP["Standard Partner-Trust App / Game"]
API["webOS UPnP API"]
APP -->|"Calls API without user prompt"| API
end
subgraph LAN["Local Area Network (LAN)"]
NAS["Network-Attached Storage (NAS)"]
IOT["Other UPnP-Enabled Devices"]
API -->|"Discovers & queries actions"| NAS
API -->|"Can read files / send requests"| IOT
end
```
Under this model, an ordinary game or utility installed by a child from the TV app store can directly interrogate and manipulate local hardware. If an owner has a network-attached storage (NAS) system accessible via Universal Plug and Play (UPnP) on the local subnet, that rogue TV app could attempt to read or exfiltrate private files. Meanwhile, LG has actively made it harder for advanced residential users to install custom root certificates to inspect their own network traffic. By blocking owners from decrypting the packets traveling between their television and LG's telemetry endpoints, LG shields its data collection under the corporate mindset that "we own the glass"—leaving users blind to what the TV exposes, while LG reserves the right to alter features and terms at will.
[01:02:46](https://www.youtube.com/watch?v=6IFVTcM28KA&t=3766s) The 50,000-Word Legal Gauntlet: Clicking Remote Controls for Hours
Gamers Nexus set out to audit the actual user agreements presented during setup of two US-market LG smart TVs. Demonstrating the process on-screen through tedious remote-control navigation, the team tallied the physical effort required simply to read the legal text. Tucking sweeping data collection rules into terms of novelistic length ensures no ordinary consumer will ever read or comprehend them—a design choice that appears entirely intentional. The sheer physical and temporal toll of reviewing these contracts on a television interface is staggering:
- **1,246 clicks** on the remote were required to scroll through the six core LG user agreements.
- **1,459 additional clicks** were needed to review the four LG account terms and conditions.
- **2,705 total clicks** were logged just to navigate the first layer of terms.
- **18,500+ words** make up the LG smart TV terms.
- **~12,400 words** comprise the LG account terms.
- **~17,000 words** span the US customer Terms of Service and Privacy Policy (which LG confusingly notes also govern LG accounts).
- **Nearly 50,000 words** confront a user in total—compared to an average 30-minute Gamers Nexus video script of roughly 4,000 words.
At an average adult reading speed of 220 to 350 words per minute, thoroughly digesting these documents requires between 2.8 and 3.8 hours of continuous reading on a TV screen—assuming the TV does not automatically sleep or time out in the middle of the session. The legal upkeep is notoriously sloppy as well: several pages on LG's live legal website literally displayed nothing but the placeholder word "test," and after Gamers Nexus published their initial investigation, LG abruptly "Thanos snapped" several referenced exhibits entirely off the web while continuing to cite them in their main agreements.
[01:05:35](https://www.youtube.com/watch?v=6IFVTcM28KA&t=3935s) Device Fingerprinting, Forced Consents, and Third-Party Data Harvesting
LG forces acceptance of these terms before permitting access to basic smart functionality; downloading or launching built-in staples like YouTube or Hulu requires creating an LG account and accepting further agreements. Embedded deep within the smart TV privacy policy are clauses permitting LG to harvest granular device markers: IP address, MAC address, model identifier, and metadata for every peripheral wired or paired to the set (consoles, set-top boxes, DVD players, along with connected smart light bulbs, switches, and home appliances). Location data including postal and area codes are swept up and cross-referenced with other LG services to package customer data for monetization.
LG explicitly reserves the right to share and sell personal identifiers to payment processors, customer service vendors, security contractors, and data analytics firms, noting that even under California privacy regulations, personal identifiers, browsing behavior, commercial activity, and geolocation can still be shared or sold.
```mermaid
flowchart LR
accTitle: LG Data Aggregation Engine
accDescr: Diagram showing how LG combines hardware fingerprints, ambient voice recordings, and external data brokers into user profiles.
subgraph DataSources["Harvested Sources"]
DEV["Device Identifiers<br>(IP, MAC, HDMI inputs, IoT)"]
VOICE["Voice Command Audio<br>(6-month cloud retention)"]
EXT["Third Parties<br>(Utility usage, Social media, Data brokers)"]
end
subgraph LGCore["LG Ecosystem Aggregation"]
ACC["LG Account / webOS Engine"]
DEV --> ACC
VOICE --> ACC
EXT --> ACC
end
subgraph Monetization["Data Exploitation"]
ADS["LG Ad Solutions<br>(Demographic & cross-device ad targeting)"]
THIRD["Third-Party Analytics & Data Buyers"]
ACC --> ADS
ACC --> THIRD
end
```
The voice command agreement introduces even more onerous stipulations:
- **Overseas Processing & Retention:** Audio snippets are exported abroad, including to South Korea—where data protection laws may differ—and retained for up to six months before deletion or anonymization.
- **Household Proxy Consent:** Users are forced to legally attest: *"I have obtained consent from all other members of my household whose information may be collected through this smart media product and am providing consent on their behalf."* Any friends, family, or guests speaking within earshot of the TV are legally folded into this consent structure.
- **Omnibus Tracking:** The overarching US privacy policy reaches into the LG ThinQ app, smart appliances, LG robots, customer support calls, and web activity to aggregate demographic details (birthdays, gender), contact info, and user-uploaded media (photos, videos, audio).
- **Demographic Dissection:** LG Ad Solutions packages this harvested data into marketing whitepapers analyzing Asian-American, Black American, LGBTQ+, and Hispanic viewer habits like subjects under a microscope.
- **Third-Party Data Merging:** LG augments its telemetry by purchasing records from public and private databases, social media channels, data licensors, and even utility/energy companies to quantify household appliance power usage—starkly undermining LG's public claims that it remains committed to user privacy and transparency.
[01:09:12](https://www.youtube.com/watch?v=6IFVTcM28KA&t=4152s) Draconian Privacy Terms and the Forced Arbitration Trap
LG employs notable semantic acrobatics within its legal documentation, particularly regarding what constitutes "selling" user data. Under its U.S. privacy policy addressing state-specific consumer rights, LG asserts that it does not "sell personal data for money," yet explicitly reserves the right to share that same personal data with external partners for "targeted advertising purposes." To insulate itself from legal fallout once a customer accepts these terms, LG includes comprehensive class action waivers in its legal notices. Customers forfeit their right to join class actions or pursue formal courtroom disputes, with these conditions tucked into the fine print of the box packaging. In some instances, LG even places a physical sticker detailing the arbitration requirement directly onto the back of the TV chassis—often ensuring a consumer only discovers the legal surrender after hauling the unit home, unboxing it, and completing physical setup.
Beyond the packaging disclosures lie tens of thousands of words across LG’s formal terms and service policies. These agreements grant LG expansive surveillance permissions:
```mermaid
flowchart TD
accTitle: LG Data Ingestion and Exploitation Flow
accDescr: Diagram illustrating how LG ingests user data from devices and distributes it to third parties and advertising systems.
subgraph INGEST["Data Ingestion"]
A["LG Smart TVs & Screens"]
B["LG ThinQ Mobile App"]
end
subgraph DATA["Collected Assets"]
C["ACR Screen / Audio Identifiers"]
D["Mobile Geolocation"]
E["AI Training Inputs"]
end
subgraph EXPLOIT["Monetization & Sharing"]
F["LG Ad Solutions / Alphonso"]
G["Affinity Solutions (Credit Card Data)"]
H["Corporate Subsidiaries & Outside Entities"]
end
A --> C
A --> E
B --> D
C --> F
D --> H
E --> H
F --> G
```
The system automatically extracts precise geolocation coordinates from mobile devices running the LG ThinQ app, ingests viewing and listening habits, funnels consumer telemetry into internal artificial intelligence research and development, and distributes unique personal identifiers across a wide network of advertising brokers. LG explicitly acknowledges in its documentation that its AI services are not guaranteed to be free of "harmful components," while reserving the right to disseminate "deidentified data" for virtually "any purpose" to outside corporate entities and internal subsidiaries.
To guarantee maximum legal flexibility, LG reserves the unilateral right to rewrite these agreements at will. During Gamers Nexus's testing, a newly purchased LG smart monitor immediately displayed a pop-up notice upon its initial internet connection: *"Please note that the terms of use will be updated and will be effective in 30 days on August 26th... Amendment details: arbitration agreement and AI-based service terms."* Consumers are forced to pre-accept unknown future terms before even finishing configuration. Following Gamers Nexus's initial investigative report published on July 16th, LG responded on July 28th by revising its smart TV terms of service to mandate "binding and final arbitration" for any "disagreement or controversy," intentionally barring consumers from public courtroom trials or class action lawsuits where legal precedents could be established.
- LG's U.S. privacy policy distinguishes between selling data "for money" and sharing it for targeted advertising.
- Physical warning stickers on the rear panel of select TVs reveal binding legal conditions only after unboxing.
- LG claims the right to deploy customer data for internal AI training while disclosing its AI features may contain "harmful components."
- Revised July 28th terms forced all customer controversies into confidential, binding individual arbitration.
---
[01:12:47](https://www.youtube.com/watch?v=6IFVTcM28KA&t=4367s) "We Own the Glass": The Corporate Reality of LG Ad Solutions
While consumers pay thousands of dollars upfront under the belief that they own their television hardware, LG's business model treats the hardware sale as merely an entry point for continuous data harvesting. The real monetization engine lies in perpetually selling telemetry, serving targeted advertisements, and feeding machine learning models. Representatives and executives from LG Ad Solutions have articulated this corporate mindset bluntly during industry panels, repeatedly declaring on camera: *"We own the glass. We own the TV."* Another executive emphasized their control by describing the smart TV landscape: *"We have first-party ACR data, automated content recognition data, and we understand everything that hits the screen."* One spokesperson even made a near-Freudian slip about *"owning working with the consumer,"* before pivoting to marketing materials that pitch advertisers the ability to *"own the living room"* inside customer homes.
```mermaid
flowchart LR
accTitle: LG Ad Solutions Ownership Pipeline
accDescr: Pipeline showing the acquisition and rebranding of Alphonso into LG Ad Solutions.
A["Alphonso, Inc."] -->|"Acquired in 2021"| B["Controlling Stake by LG"]
B -->|"Rebranded"| C["LG Ad Solutions"]
C -->|"ACR Glass Telemetry"| D["Loop IQ (Ad Matching)"]
```
This tracking apparatus is driven by Alphonso, Inc., a core service partner named directly inside LG’s smart TV software agreements. Alphonso’s privacy policy notes that it provides viewing records in aggregated or anonymized formats to marketing clients, who are permitted to retain and utilize that intelligence indefinitely. Alphonso is not an independent third party: LG acquired a controlling stake in the firm in 2021 specifically to build a unified cross-device advertising and analytics platform across the connected TV marketplace, subsequently rebranding the operation as LG Ad Solutions (though it remains formally incorporated as Alphonso, Inc.).
The leadership steering LG Ad Solutions includes figures with checkered regulatory histories. Serge Matta, appointed as the President of Global Ad Sales for LG Ad Solutions, previously served as CEO of Comscore. Just two years prior to his role at LG, the Securities and Exchange Commission (SEC) charged Matta and Comscore with orchestrating an accounting fraud scheme that overstated company revenue by approximately $50 million while making false, misleading disclosures regarding key performance metrics. Matta settled the federal charges in 2019 by paying a $700,000 civil penalty, reimbursing Comscore $2.1 million, and accepting a 10-year SEC ban from serving as an officer or director of any public company—a restriction neatly bypassed by stepping into executive leadership at a privately held subsidiary.
- LG Ad Solutions executives publicly justify invasive telemetry by claiming they "own the glass" rather than the customer who bought the display.
- Alphonso, Inc., acquired by LG in 2021 and rebranded as LG Ad Solutions, retains the right to let ad partners keep consumer viewing profiles indefinitely.
- LG Ad Solutions President of Global Ad Sales Serge Matta was barred by the SEC for 10 years from serving as an officer/director of public companies over a $50 million revenue inflation scheme at Comscore.
---
[01:15:27](https://www.youtube.com/watch?v=6IFVTcM28KA&t=4527s) Dark Patterns and Linking Screen Time to Bank Cards
Despite public assurances from LG Ad Solutions representatives in 2022 claiming their automated content recognition operates via a consumer-friendly "double opt-in" experience, actual lab testing revealed this safeguard has been dismantled. Modern setups present only a single opt-in prompt. When evaluating an older LG television owned by Wendell of Level1Techs—a display on which Wendell insisted he had never agreed to any optional tracking policies—the team observed firmware updates quietly introducing tracking infrastructure over time. Digging into the television's deep settings menus revealed that options like "Limit Ad Tracking" were toggled off by default, silently enabling tracking identifiers without clear consent.
```mermaid
flowchart TD
accTitle: Dark Pattern App Installation Flow
accDescr: Flowchart illustrating the dark patterns used to trick users into accepting optional ACR tracking agreements during app installations.
A["User Attempts App Install"] --> B["System Displays 6 User Agreements"]
B --> C{"UI Focus Defaults to 'Select All'"}
C -->|"User Clicks OK (Default)"| D["Mandatory Agreements Accepted"]
C -->|"User Clicks OK (Default)"| E["Optional ACR Surveillance Accepted"]
D & E --> F["Wireshark Detects Instant Telemetry Stream"]
```
The interface relies on manipulative dark patterns designed to coerce users into surrendering their privacy. While LG's operating system strictly requires agreements only to the basic terms of use and privacy policy in order to download applications, attempting an install triggers a screen displaying six separate legal pacts simultaneously. The UI pre-selects and highlights the "Select All" button by default. Unsuspecting users routinely click through to proceed, unknowingly activating ACR monitoring and personal ad profiling. As soon as those agreements are confirmed—whether intentionally, accidentally, or via an unwitting family member—network traffic captured through Wireshark shows a flood of telemetry immediately flowing out to LG’s servers.
This harvested media telemetry links directly into real-world consumer behavior. Through a commercial product named "Loop IQ," LG Ad Solutions partners with consumer analytics firm Affinity Solutions to match TV viewing logs directly against physical bank cards and credit card transaction feeds. As Serge Matta explained to industry clients, Loop IQ bridges the gap between media exposure and the register:
> "In the retail world... you want to tie it to an actual credit card or a bank transaction, an actual purchase. So we went ahead and partnered and created a product called Loop IQ with Affinity Solutions... [they have] thousands and thousands of these credit card merchants' data in a privacy-friendly manner... and we've tied it to the media side of the house. So we're not going to go ahead and just provide just the data. We're always going to tie it to a specific campaign and say, 'Okay, somebody went in and saw a Target ad...'"
- LG previously claimed ACR was strictly "double opt-in," but current retail software requires only a single, often obscured confirmation.
- Firmware updates on legacy LG screens have been observed silently introducing ad identifiers and cookie tracking, leaving "Limit Ad Tracking" disabled by default.
- Downloading basic apps prompts a 6-agreement menu with "Select All" highlighted by default, tricking users into optional surveillance programs.
- Wireshark captures confirm that television telemetry streams instantly to external servers the moment terms are accepted.
- LG Ad Solutions' Loop IQ product links household viewing habits directly to offline debit and credit card retail transaction records via Affinity Solutions.
[01:18:11](https://www.youtube.com/watch?v=6IFVTcM28KA&t=4691s) The Alphonso Power Struggle and the Economics of Connected TV
The connected TV (CTV) advertising play revolves around a direct programmatic pipeline connecting viewing habits to real-world consumer behavior: tracking whether an ad exposure on the screen correlates to a consumer physically walking into a store like Target on a specific day and making a purchase. While LG poured millions into acquiring a majority stake in Alphonso in 2021 with the initial expectation of allowing the ad-tech firm to go public, the relationship rapidly deteriorated. According to reporting from *AdExchanger*, LG had a change of heart when Alphonso began generating significantly more revenue than anticipated. Seeking a larger cut, LG orchestrated what *AdExchanger* characterized as a "boardroom coup" in 2022.
Alphonso sued LG over the maneuver and won, sparking an aggressive multi-year legal war. Alphonso has filed four separate lawsuits against its majority owner to claw back operational control, with billions of dollars on the line. Meanwhile, South Korean business outlet *Chosun Biz* reported that LG aims to execute a complete takeover to bring its equity stake in Alphonso to 100%. A deep dive into LG's financial filings reveals the sheer financial incentive behind the struggle: in the first quarter of 2026 alone, Alphonso generated 273.698 billion Korean won in sales (roughly $185 million USD) and 32.646 billion Korean won in operating profit (roughly $22 million USD).
This pivot toward advertising over hardware echoes broader industry moves, notably Walmart's 2024 acquisition of TV manufacturer Vizio. Walmart explicitly cited Vizio's advertising arm as the core engine of future growth, stating the buyout would create scale and impact for brand advertisers. The stark divergence between hardware and platform revenue is laid bare in Vizio's 2023 financial reports:
Smart TV manufacturers effectively lose money selling physical display hardware, relying entirely on high-margin data collection and ad inventory to generate profit.
[01:21:12](https://www.youtube.com/watch?v=6IFVTcM28KA&t=4872s) Microsoft's Deep Entanglement and the Bloatware PR Spin
While Microsoft attempted to publicly distance itself on social media when Gamers Nexus revealed that LG utilized Windows Update to push unwanted software and McAfee adware, the two corporate giants share a deeply intertwined relationship. Microsoft was eager to save face on Twitter, but LG relied directly on Microsoft's distribution pipeline to push the intrusive software. The historical ties between the two companies stretch back decades across multiple technology sectors:
- In 2009, LG designated Windows Phone as its primary mobile operating system.
- In 2012, Microsoft CEO Steve Ballmer inked a patent agreement with LG to collect royalties on Android and Chrome OS devices.
- In 2019, LG and Microsoft signed a memorandum of understanding to advance LG's autonomous vehicle systems using Microsoft Cloud infrastructure.
- In 2025, Microsoft launched an Xbox app designed specifically for LG's automotive software platform.
- LG markets Copilot+ PCs alongside Microsoft, collaborated on the Q9 home robot using Microsoft Voice AI, and secured multi-billion-dollar deals supplying cooling systems for Microsoft's AI data centers.
```mermaid
flowchart TD
accTitle: Microsoft and LG Voice Ecosystem Integration
accDescr: Diagram illustrating how voice data captured by LG TVs is routed to Microsoft via Nuance Communications.
TV -->|"Voice Audio & Telemetry"| LGPlatform
LGPlatform -->|"Voice Processing Pipeline"| Nuance
Nuance ---|"Acquired for $19.7B (2021-2022)"| MSFTCloud
```
The most consequential integration lies inside LG's TV legal disclosures: Nuance Communications is explicitly named as the third-party service partner responsible for collecting, ingesting, and analyzing voice commands issued to LG smart TVs. Microsoft purchased Nuance for $19.7 billion in a deal finalized in 2022. Despite Microsoft's public posturing, its infrastructure processes the ambient and intentional voice telemetry coming out of consumer living rooms.
Following mounting consumer backlash and Gamers Nexus's reporting on monitor bloatware, LG issued a carefully worded PR statement to publications like *TechRadar*:
> "LG Electronics reiterates that McAfee is not installed automatically and is never installed without the user's explicit consent. The LG monitor app installer is distributed through Microsoft's official Windows distribution process, which included McAfee as an option. McAfee will be installed only if a user actively chooses to proceed with the installation and provides consent. Under no circumstances is McAfee installed automatically or without user authorization. The LG Monitor app installer does not access, collect, or transmit any customer personal data."
This response is a deflection. Gamers Nexus never claimed McAfee installed itself unprompted; rather, the TV/monitor firmware automatically forced the unauthorized installation of the *LG Monitor App Installer* via Windows Update without consent, which then served aggressive McAfee adware promotions. Furthermore, the Microsoft Store manifest for the LG installer contradicts LG's privacy claims, listing explicit permissions to "use all system resources and access your internet connection." Security researchers auditing the software also discovered critical vulnerabilities present in nearly every connected application within the installer's software suite.
[01:24:47](https://www.youtube.com/watch?v=6IFVTcM28KA&t=5087s) Debunking Ambient Voice Recording and Dark-Pattern Privacy Toggles
LG's official statements regarding voice capture unravel under basic lab testing. In its defense to *TechRadar*, LG asserted:
> "LG Electronics reaffirms that LG TVs do not collect, record, or store ambient conversations. Voice recognition is an optional user-initiated feature that processes voice data only when activated by the user to fulfill a specific request. Customers can use smart TV features without enabling voice recognition."
Gamers Nexus demonstrated that this claim is flatly untrue. During setup, host Tannon initiated the voice functionality on one side of a room, issuing the prompt, *"Hi, LG. Keep changing channels."* Meanwhile, staff members Vitali and Andrew stood behind the TV having a completely unrelated conversation about acoustic foam installation and wall margins:
> *"Was there one layer? Two layers. See?"*
> *"Uh, two-ish layers... Can you see it's kind of stuck? See, I think I just got a shade off."*
Despite long stretches of total silence in the room—so prolonged the production team debated trimming the dead air in the edit—the TV never stopped recording. Tannon did not touch the remote, and the TV was fulfilling no ongoing user command. Yet the microphone remained wide open for minutes at a time, capturing the peripheral background chatter. This unprompted ambient capture was the exact same conversation found transcribed into plain text on the TV's file system during Wendell's teardown.
LG's closing assertion that the brand is *"committed to protecting customer privacy and ensuring transparency"* stands in direct contrast to its software interface design. When setting up a TV fresh out of the box—prior to agreeing to any terms of service or connecting to the internet—the setting labeled **"Do Not Sell My Personal Information"** is toggled off by default. The system acts as a deliberate "claymore for your privacy," configured to siphon data the instant network access is granted. Right-to-repair advocate Louis Rossmann documented this exact dark pattern in his own LG teardown nearly three years earlier, demonstrating that consumer privacy protections have been intentionally suppressed by default across multiple hardware generations.
[01:27:36](https://www.youtube.com/watch?v=6IFVTcM28KA&t=5256s) Microsoft's Inaction and Covert App Installations
Because of the current state of consumer electronics, intrusive tracking settings on high-end hardware remain enabled by default rather than requiring explicit user consent. On a $3,000 LG OLED television, basic privacy should be an opt-in feature rather than an opt-out toggle hidden beneath layers of menus.
Microsoft similarly took only minimal, surface-level action when confronted with covert installations on its platform. Epic Games CEO Tim Sweeney directly alerted Microsoft Vice President Pavan Davuluri that LG monitors were covertly installing background software and serving pop-up ads for McAfee antivirus. In response, Davuluri stated that LG disabled the McAfee pop-up ad within the application. However, Microsoft offered pure lip service: the company never addressed why LG was permitted to silently install applications onto users' PCs without notice in the first place, nor did Microsoft mention that its own advertising subsidiary actively partners with LG for data collection and ad management.
```mermaid
flowchart TD
accTitle: Covert App Installation and Data Partnership Flow
accDescr: Diagram illustrating how LG monitors trigger silent app installation, ad delivery, and backend data ties with Microsoft.
subgraph UserPC["User's PC"]
Monitor["LG Monitor Connected"]
SilentApp["Covert Background LG App Installed"]
PopUp["McAfee Pop-Up Ad Displayed"]
Monitor -->|"triggers install without notice"| SilentApp
SilentApp -->|"serves to user"| PopUp
end
subgraph IndustryTies["Corporate Inaction & Data Sharing"]
Sweeney["Tim Sweeney (Epic Games)"] -->|"alerts"| Davuluri["Pavan Davuluri (Microsoft VP)"]
Davuluri -->|"asks LG to turn off ad only"| PopUp
MicrosoftSub["Microsoft Ad Subsidiary"] <-->|"data management & collection"| LGAds["LG Ad Solutions"]
end
```
[01:28:23](https://www.youtube.com/watch?v=6IFVTcM28KA&t=5303s) Louis Rossmann on Forced Arbitration and Lost Rights
Turning to outside experts and advocates, Gamers Nexus sat down with right-to-repair activist Louis Rossmann to unpack forced arbitration clauses. While examining LG smart TVs, the production team spotted a sticker plastered on the chassis labeled "Forced Arbitration Notice." When Steve Burke sarcastically notes that Rossmann must love these agreements, Rossmann bites back: "Yeah, I love giving up my Seventh Amendment rights to a company in an agreement that I never actually read."
Rossmann highlights how absurd and predatory these terms are by recalling LG's past refrigerator scandals, where linear compressors were failing en masse and LG refused to honor warranty repairs. When consumers attempted to organize class action lawsuits, LG argued that customers were legally barred from suing because forced arbitration was buried in the printed manual and stamped on the packaging. For apartment dwellers or anyone with standard doorways, delivery crews unbox major appliances curbside and haul the cardboard straight to the dump. Buyers literally signed a delivery receipt acknowledging physical delivery of a fridge, only for LG to argue that signature legally bound them to arbitration notices printed on a box they never saw or inside a manual they had not yet opened. When asked whether hundreds or thousands of unread words should legally strip away a citizen's constitutional right to a court trial, Rossmann explains why corporations crave arbitration over real courts:
> "If I do something wrong to my customers, they have the ability to take me to court. And I think that that is a good thing because it means that it gives me an incentive structure to treat my customers properly. Forced arbitration means that they sign away the right to that. Instead of taking me to court, they can take me to arbitration. Arbitration is a court that I pay for. So, I'm paying a mediator that's going to figure out between the two of us, how are we going to resolve this problem? And the mediator being paid by me personally is most likely going to have an incentive structure to resolve issues in a manner that I find amicable."
Rossmann acknowledges common consumer cynicism regarding class action lawsuits—where lawyers often walk away with $20 million while victimized consumers receive a $0.50 check stuck to a refrigerator door. Yet despite the flaws, formal litigation produces structural enforcement and behavioral changes that arbitration deliberately suppresses:
- Class action settlements force companies to fund free public repair programs, such as Apple servicing failing logic boards on older A1286 MacBooks or replacing flawed butterfly keyboards on A1706, A1707, and A1708 laptops.
- Public court proceedings expose internal corporate wrongdoing rather than burying disputes in non-precedential, private mediation.
- LG reacted directly to Gamers Nexus's earlier monitor expose by quietly amending its user agreements with sprawling new paragraphs explicitly waiving class action participation, practically "admitting guilt" in response to public scrutiny.
- Other companies pull similar stunts; Roku locked users out of their TVs during a massive data breach affecting 15,000 accounts, completely barring HDMI input switching and channel access until users clicked "Agree" to updated dispute terms with zero "Disagree" option provided.
- Consumers facing these barriers are encouraged to fight back in small claims court; Rossmann cites consumer advocate Steven Ryan, who drags corporations into small claims over seemingly minor issues. Rossmann stresses that "progress moves forward because of unreasonable people," arguing that if even 1% of the audience took companies to small claims, corporate anti-consumer tactics would vanish overnight.
[01:34:16](https://www.youtube.com/watch?v=6IFVTcM28KA&t=5656s) Medical Surveillance Risks with Robotic Surgeon Aaron
At Louis Rossmann's right-to-repair event in South Carolina, Gamers Nexus spoke with Aaron, an attendee and practicing healthcare worker specializing in robotic general surgery. Standing directly in front of a mounted LG TV—prompting the joke that the TV was likely listening to their conversation in real time before anyone watching the video ever could—Aaron began discussing the severe privacy and legal ramifications of placing internet-connected, telemetry-heavy smart displays into clinical and surgical environments.
[01:35:00](https://www.youtube.com/watch?v=6IFVTcM28KA&t=5700s) Medical Privacy, Telehealth, and the Threat to HIPAA Compliance
Gamers Nexus brings on a practicing surgeon who bridges the intersection of advanced technology and healthcare through robotic surgery. Being tech-savvy and a follower of both GN and Louis Rossmann, the surgeon outlines severe privacy concerns regarding smart displays. Medical providers are legally and professionally mandated to encrypt all patient-related communications and route them through secure VPNs. However, when taking telehealth phone calls or conducting video appointments from a home office—or with an LG monitor situated in the background—there is no transparency about what is listening, where ambient audio is funneled, or how that data is secured.
While enterprise healthcare IT and administrative staff carefully audit dedicated software, AI clinical transcription tools, and electronic medical record (EMR) systems like Epic for strict HIPAA compliance, consumer displays enter the workspace without any oversight. An office manager or assistant might simply purchase an off-the-shelf smart TV from Best Buy, or a doctor might work from a personal residence filled with retail electronics. Even if manufacturers claim they are not actively running microphones for surveillance, the hardware capability persists, and playback audio streaming through TV speakers can be fingerprinted or recorded. If unencrypted ambient clinical conversations or patient histories are picked up and transmitted off-device without the practitioner's knowledge or consent, maintaining a genuinely HIPAA-compliant environment becomes impossible.
The interview closes on a humorous yet grim note about the lengths one would have to go to guarantee medical confidentiality in a smart home:
- Providers accessing hospital systems via Epic or other EMR platforms are employer-mandated to route all laptop and smartphone activity through dedicated, encrypted VPN tunnels.
- TVs and monitors lack any on-screen indicator or active warning stating: *"Hey, you're actually being listened in on right now."*
- Joking about how to handle the ubiquitous smart surveillance, the doctor asks if they should put up tin foil and lead to turn their clinic into a Faraday cage, leading the host to banter that selling commercial Faraday cages for medical clinics might be their next lucrative startup venture.
---
[01:38:30](https://www.youtube.com/watch?v=6IFVTcM28KA&t=5910s) DMCA Section 1201: How Anti-Circumvention Criminalizes Device Ownership
Gamers Nexus turns to Kevin, the Executive Director of the FULU Foundation, who works alongside Louis Rossmann and co-organized the "Own Your" tour. The discussion tackles Section 1201 of the Digital Millennium Copyright Act (DMCA), a federal statute that turns the circumvention of digital locks into a copyright crime. Even when consumers identify spyware, automatic content recognition (ACR) tracking, or intrusive telemetry on their hardware, the law heavily restricts their ability to dig in and excise the offending code. Menus offer confusing dark patterns and legalese that rarely confirm whether outbound data streams have truly halted, but modifying firmware or breaking past proprietary software locks crosses into legal jeopardy.
```mermaid
flowchart TD
accTitle: DMCA Section 1201 Legal Trap
accDescr: Flowchart illustrating how attempting to remove tracking software triggers copyright penalties under DMCA Section 1201.
subgraph Consumer["Consumer Reality"]
A["Smart TV spies on household via ACR"] --> B["User attempts to disable via UI settings"]
B --> C["Data flow status remains uncertain"]
C --> D["Desire to remove spyware or use modification tools"]
end
subgraph LegalTrap["DMCA Section 1201 Trap"]
D --> E["Circumventing digital lock on copyrighted firmware"]
E --> F["Copyright Felony: Up to $500,000 fine and 5 years in federal prison"]
end
```
Kevin uses the analogy of residential property: if you purchase a home and accidentally lock an interior door, picking your own lock is not breaking and entering because you own the house, the door, and everything behind it. Under DMCA Section 1201, this principle is inverted for digital devices. If an OEM wraps source code behind a digital lock, circumventing it—or developing and distributing accessible software tools so everyday "normies" can strip ACR malware off their TVs—triggers brutal federal criminal penalties of up to $500,000 in fines and five years in federal prison per violation.
- The DMCA was originally enacted in 1998 with the stated objective of curbing media piracy on optical discs like CDs and DVDs.
- The drafters of the 1998 legislation failed to foresee a world where general-purpose computers would power everything in daily life, from pocket smartphones to automobiles and agricultural tractors.
- Providing third-party repair services or anti-spyware removal tools is treated under the statute as trafficking in circumvention devices, disproportionately criminalizing basic consumer self-defense.
---
[01:41:37](https://www.youtube.com/watch?v=6IFVTcM28KA&t=6097s) The Legislative History of Section 1201 and the Fight for Congressional Reform
Delving into the history behind the DMCA, Kevin highlights admissions made by Bruce Lehman, an assistant secretary of commerce and intellectual property architect in the Clinton administration. In retrospective interviews spanning 2007 and beyond, Lehman acknowledged that the DMCA failed to accomplish its primary mission—underscored by the rapid rise of Napster immediately following the law's passage. More critically, Lehman detailed how his team executed an intentional end run around the United States Congress after lawmakers initially rejected the framework out of fear that it would gut fair use and destroy fundamental ownership rights.
Having been turned down by Capitol Hill, administration officials traveled to Geneva to negotiate an international treaty through the World Intellectual Property Organization (WIPO). Once the treaty was signed, they returned to Congress with leverage, insisting that lawmakers were legally obligated to pass Section 1201 to remain compliant with international treaty commitments and preserve American leadership. Addressing this legacy today requires direct grassroots engagement. Because most members of Congress understand neither modern software architecture nor the intricacies of copyright law, constituent pressure remains one of the few functional levers to challenge anti-circumvention rules and reclaim digital ownership rights.
[01:43:52](https://www.youtube.com/watch?v=6IFVTcM28KA&t=6232s) Grassroots Advocacy, Congressional Outreach, and FULu.org
The discussion opens on the challenge of educating lawmakers about digital rights and ownership. Not every member of Congress is an expert on every nuance of copyright or consumer protection law, making public education and grassroots outreach essential. Representatives need to hear directly from constituents who care about these issues. As part of this effort, a national advocacy tour spanning 14 cities and states has been underway. One of the largest stops took place in Raleigh, North Carolina, drawing an energetic crowd that included a staff member from a local congressional representative's office.
The hosts note that the staffer listened intently, appeared genuinely engaged, and seemed receptive to the core principle that consumers should actually own the hardware they buy. While reaching members of Congress directly can be difficult, engaging their legislative staff is critical, as aides often filter those key constituent concerns upward to the elected officials themselves.
Viewers are directed to check out FULu.org to follow the ongoing work and blog updates, track future tour dates, and explore the Consumer Rights Wiki. One highlight of the project is the weekly "Wiki Hall of Shame," which spotlights manufacturers and products guilty of predatory or anti-consumer practices—a recurring segment with an almost endless supply of offending companies to feature.
- FULu's national tour targets 14 cities and states to educate the public and engage local policymakers on hardware ownership.
- The Consumer Rights Wiki and its weekly "Hall of Shame" document anti-consumer hardware and software practices across the industry.
---
[01:45:40](https://www.youtube.com/watch?v=6IFVTcM28KA&t=6340s) Wendell on the Smart TV Architecture: A Full Computer in Disguise
Wendell of Level1Techs joins Steve for an in-depth debrief following days of hands-on experimentation and auditing of the LG Smart TVs. Steve asks Wendell to unpack what the hardware is actually capable of, particularly in light of security vulnerabilities and native features that allow the TV to capture and store data even when it appears to be switched off.
```mermaid
flowchart TD
accTitle: Compromised LG Smart TV Capability Architecture
accDescr: Diagram showing how a compromised TV's onboard Linux system, hardware interfaces, and storage can be exploited for surveillance or network persistence.
subgraph Hardware ["TV Hardware & Core System"]
Flash["16 GB Onboard Flash"]
Linux["Embedded Linux OS & Computational Power"]
Mics["Internal Microphones"]
Display["Display Engine / HDMI Stream"]
end
Linux --> Flash
Mics --> AudioCap
Display --> FrameCap
Linux --> AudioCap
Linux --> FrameCap
Linux --> Proxy
```
Wendell explains that beneath the screen sits a fully functional computer running embedded Linux with 16 GB of onboard flash storage. While 16 GB might seem modest by desktop standards, modern smart TVs pack substantial processing power. An attacker or malicious payload running on the system can easily record raw audio, compress it on the fly, and exfiltrate it over the local network or internet. Commercial versions of these displays rely on package management and developer features for digital signage; while LG strips some consumer-facing controls and homebrew-friendly utilities out of retail models, the underlying operating system capabilities remain intact.
The hardware includes multiple integrated microphones and programmatic interfaces that can read whatever is actively rendered on the screen. Anyone with code execution can capture individual display frames or short video clips, bound only by available flash storage and outbound network bandwidth. "Theoretically, it's a whole computer. So basically anything you can do with a computer, but it's in the TV."
- Modern LG TVs house 16 GB of internal flash storage alongside substantial compute power running embedded Linux.
- The hardware integrates multiple onboard microphones capable of picking up ambient room audio.
- Programmatic hooks allow software to inspect display frames and grab live screenshots directly from the video pipeline.
---
[01:47:22](https://www.youtube.com/watch?v=6IFVTcM28KA&t=6442s) Automatic Content Recognition (ACR) and Perceptual Fingerprinting
Addressing the six-second audio/video recording limit encountered during testing, Wendell clarifies that this duration is not an accidental software quirk, but the intentional design of LG's Automatic Content Recognition (ACR) engine. ACR implementations—often relying on libraries from companies like Alphonso—are engineered to take six-second samples of whatever the user is viewing or listening to.
```mermaid
flowchart LR
accTitle: Automatic Content Recognition ACR Hashing Pipeline
accDescr: Pipeline showing how 4K media on screen is converted into lightweight hashes and queried against ad-tech databases.
A["Screen / Audio Playback (e.g., 4K Stream)"] --> B["Downscaled Sample (e.g., 6-Second Slice)"]
B --> C["Generate Perceptual Hash / Signature"]
C --> D["Lightweight Text Query sent to Alphonso / LG Servers"]
D --> E["Database Match (Identifies Title, Ad, or Show)"]
```
This capture window generates an audio or video "fingerprint" before the system goes temporarily dormant. Wendell describes this design choice as the advertising industry's deliberate legal and PR hedge: by collecting discrete short bursts rather than sustained streams, companies protect themselves against claims that they are leaking continuous private household conversations, while also avoiding potential copyright friction with major movie studios.
When Steve mentions that one security researcher found no evidence of full-resolution JPEG or PNG screenshots being transmitted back to ad servers, Wendell breaks down how perceptual hashing actually works:
- A TV displaying a 4K movie does not need to upload uncompressed frames; the software can scale the image down to an extremely tiny thumbnail and generate a mathematical hash.
- This compact cryptographic or perceptual hash represents the frame in a trivial string of text.
- The hash string is transmitted to external servers and matched against an existing database to identify the precise title, episode, or commercial being viewed.
- Traffic inspection showed the LG TV connecting directly to known Alphonso domains and downloading fingerprint databases, providing the local device with the reference hints needed to compute hashes and report back.
- This modern hashing approach avoids the PR disasters LG faced roughly a decade ago, when earlier smart TV models sparked outrage by transmitting raw local file names over the network in cleartext.
---
[01:49:33](https://www.youtube.com/watch?v=6IFVTcM28KA&t=6573s) Background Behavior, Rogue Updates, and the Boardroom Threat
Wendell describes dealing with the LG software stack as an almost "adversarial relationship." Even when he explicitly declined terms of service, refused firmware upgrades, and attempted to isolate features, the television continued background activity. The device reached out to the internet to download application updates for pre-installed services like Amazon and YouTube.
The TV exhibited erratic, unpredictable power states during auditing. At times, putting the TV to sleep severed network access. At other times, the screen appeared completely dark and switched off, yet the system remained active underneath—leaving local USB ports fully energized, network listeners alive, and Wendell's custom diagnostic programs running undisturbed in memory. Auditing these background processes proved to be an uphill battle due to proprietary guardrails and a lack of transparency.
Steve and Wendell outline the severe security implications of a compromised television on an enterprise or home network:
1. **Covert Listening and Surveillance:** The device can be converted into an active, continuous room bug without any outward indication that the display is awake.
2. **Data Exfiltration:** Sensitive material presented on screen can be captured and leaked outside the network perimeter.
3. **Lateral Movement and Command-and-Control:** A compromised smart TV serves as an ideal residential proxy or persistent foothold. Attackers can pivot deeper into a corporate LAN from the display. Wendell compares this to real-world advanced persistent threat (APT) campaigns—such as state-sponsored hacking groups like Fancy Bear compromising routers or multifunction copiers to establish command-and-control servers.
4. **The "Boardroom Scenario" (HDMI Audio Interception):** Wendell demonstrated that when a computer outputs presentation audio over HDMI into the television, that digital audio stream is directly accessible through native Linux audio interfaces on the TV OS. An attacker does not need physical access or a direct cable to the presenter's laptop; they can tap HDMI audio programmatically across the local network while the television appears to be completely powered down.
[01:52:11](https://www.youtube.com/watch?v=6IFVTcM28KA&t=6731s) The Boardroom Threat Model: Offline Storage and Corporate Espionage
Wendell and Steve outline how an attacker could co-opt an LG Smart TV into a covert listening bug, even when network connectivity is deliberately severed. In an executive scenario where security personnel unplug the Ethernet cable before a sensitive meeting, an adversary who pre-configured the television to record audio can simply rely on the TV's internal storage. Out of the box, the system possesses 16 gigabytes of onboard flash, leaving approximately 4 gigabytes of free space without any specialized modifications. Because audio files compress efficiently, 4 GB represents an immense quantity of spoken dialogue; furthermore, inserting an ordinary 256 GB USB flash drive into the television provides enough storage for weeks of continuous capture. Once the meeting concludes and the set is plugged back into the network, or if someone physically retrieves the device, the harvested audio is easily extracted.
The incentives for such an intrusion range from basic financial fraud and insider trading to nation-state intelligence gathering. If bad actors or state-sponsored hackers (such as North Korean cyber units operating in the cryptocurrency and financial sectors) know a high-stakes shareholder meeting is scheduled, capturing real-time deliberations allows them to front-run market movements. Even if an enterprise IT department isolates the television off the network, an insider or physical infiltrator with unsupervised access could install the payload in under ten minutes. Steve and Wendell emphasize that access can occur both with and without physical access: while an independent security researcher discovered a zero-day vulnerability capable of network exploitation without user intervention, the method Wendell and Steve tested required only a simple pairing prompt disguised as a mobile device request ("a mobile device would like to pair with your TV. Is that okay?"), requiring a single click of "OK" to grant persistent footholds.
```mermaid
flowchart TD
accTitle: Boardroom TV Audio Interception Flow
accDescr: Diagram illustrating how an attacker compromises an LG TV to record boardroom audio even when unplugged from the network.
subgraph INFILTRATION["Infiltration Vectors"]
ZDAY["Zero-Day Network Attack\n(Non-interactive)"]
PAIR["Pairing Prompt Spoofing\n('Device wants to pair' -> OK)"]
PHYS["Physical Access\n(Under 10 min setup)"]
end
subgraph CAPTURE["Capture & Local Buffering"]
MIC["TV Microphones / Audio Bus\n(Active Capture Payload)"]
STORE["Local Storage\n4 GB Onboard Flash / USB Stick"]
end
subgraph EXFILTRATION["Exfiltration Pathways"]
RECONN["Reconnection to Network\n(Automated Data Exfiltration)"]
RETRIEVE["Physical Extraction\n(Pulling USB / Local Dump)"]
end
ZDAY --> MIC
PAIR --> MIC
PHYS --> MIC
MIC --> STORE
STORE --> RECONN
STORE --> RETRIEVE
```
[01:54:40](https://www.youtube.com/watch?v=6IFVTcM28KA&t=6880s) Intercepting ACR Six-Second Buffers and the Feedback Microphone
Beyond general-purpose audio recording hacks, Wendell explains how "creative debugging" allowed them to perform what Steve jokes is a "colonoscopy of LG" by digging directly into the Automatic Content Recognition (ACR) subsystem. In normal operation, LG's ACR software samples audio streams into roughly six-second clips, calculates a cryptographic fingerprint or hash of the audio, and discards the raw audio buffer. However, by reverse-engineering the ACR binary and audio pipeline, the researchers inserted a lightweight monitoring program running alongside the main process. This daemon identifies when the raw audio buffer is populated, copies the six-second audio recording before the system converts it into a hash, and writes it directly to disk. Because the native ACR services continue operating uninterrupted, the TV behaves completely normally, making the interception virtually undetectable to standard diagnostics.
In doing this analysis, Wendell discovered that the TV also utilizes a secondary speaker feedback microphone designed for acoustic calibration and audio optimization. While the quality of this secondary microphone is degraded, Wendell points out that its bitrate is not low enough to obscure human voice: intelligible human speech can still be reconstructed from the captured stream. Between the main speaker hardware and this secondary calibration channel, researchers verified multiple avenues through which raw acoustic data can be intercepted inside the operating system.
- **Storage Capacity:** 16 GB total internal flash, with ~4 GB user/system space available natively, expandable via any commodity USB drive.
- **ACR Buffer Lifecycle:** Intercepted at the 6-second capture window prior to local hash generation and buffer deletion.
- **Secondary Microphone:** Dedicated speaker feedback sensor captures low-bitrate audio that remains intelligible enough for forensic speech reconstruction.
[01:56:12](https://www.youtube.com/watch?v=6IFVTcM28KA&t=6972s) RAM Disk Logs, Hyper-Sensitive Voice Wake, and PII Exposure
Investigating the system's logging architecture revealed another major privacy hazard. On older LG TV models, verbose operating system logs were written directly to flash memory, which likely degraded and wore out the NAND storage prematurely. Newer models circumvent this hardware wear by routing logging into a RAM disk (`tmpfs`), with periodic scripts archiving specific telemetry to flash and transmitting debug bundles back to LG's servers via network telemetry packets. Because the operating system does not flush or erase the RAM disk during normal software power-downs or standby states, logs persist indefinitely unless the television is physically disconnected from AC wall power.
Crucially, these RAM disk debug logs record full plaintext transcripts of speech captured by the TV's far-field voice recognition system. Steve and Wendell demonstrate that the hardware microphone is exceptionally powerful: voice commands triggered the TV from 60 to 70 feet away, even around multiple hallways and corners. More dangerously, after wake phrases like "Hi LG" trigger the listener, the microphone remains open and actively transcribing for an additional 10 to 15 seconds if it detects ambient conversation. In a test conducted during their audit, Steve triggered the voice prompt and immediately transitioned back to discussing personal information as if on a confidential phone call, reciting a Social Security number. The debug logs dutifully transcribed the entire ambient conversation and Social Security digits into plaintext log files.
From an IT audit and regulatory compliance standpoint, Wendell notes that storing sensitive personal identifiable information (PII) in plaintext logs directly contravenes frameworks such as ISO certifications and the California Consumer Privacy Act (CCPA). Furthermore, when testers executed the TV's native "Clear Data" command, the television merely dispatched a confirmation signal to LG's remote cloud servers; it did not purge the active RAM disk logs stored on the local hardware. Unless the power cord is physically pulled, ambient transcripts remain cached and readable in memory.
[02:00:55](https://www.youtube.com/watch?v=6IFVTcM28KA&t=7255s) Data Retention, Local Flash Storage, and the "Delete My Data" Illusion
Wendell and Steve discuss how smart TV applications place heavy demands on local flash storage, constantly writing data despite nominal manufacturer claims about wear-leveling. This creates fertile ground for security researchers to analyze what is being written to disk behind the scenes. More troubling is the reality behind privacy options such as "delete my data" or "forget this device." These requests generally signal LG's remote infrastructure to clear cloud records or reset remote profiles, but they do virtually nothing to scrub what has already been committed to the television's physical storage.
Steve details an experiment conducted to see if user logs persist when someone prepares to give away or donate a TV to Goodwill. Initial testing suggested the data remained intact: after a standard software reboot, verbose logs detailing device history were still fully accessible on the local storage. It was only after physically pulling the power cord that those specific verbose logs appeared to vanish. However, numerous other system logs persisted on the internal storage unscrubbed. The lack of any verifiable, user-controlled formatting mechanism leaves consumers in a position where they cannot trust the TV to actually sanitize itself when wiped.
- Applications generate significant, continuous write cycles to the onboard flash memory.
- Cloud-facing privacy toggles ("delete my data") do not wipe historical logs stored locally on the TV.
- A standard software reboot retained verbose device logs; pulling the power cord cleared some volatile logs, but other system logs remained intact.
- Consumers have no native way to perform a verified low-level format of the TV's internal storage.
---
[02:02:13](https://www.youtube.com/watch?v=6IFVTcM28KA&t=7333s) Wi-Fi Geolocation Without GPS and Corporate Espionage Risks
The conversation turns to how an LG TV identifies its physical geographic location despite lacking an onboard GPS receiver. Wendell explains that cybersecurity researchers inspecting network traffic noticed LG TVs actively inventory surrounding wireless networks. Even if an owner operates the TV solely on a wired Ethernet connection and leaves Wi-Fi disconnected, the TV scans nearby radio frequencies to catalog visible network SSIDs and the unique MAC addresses (BSSIDs) of surrounding access points. Using these visible access point MAC addresses, LG can effortlessly cross-reference geolocation mapping databases to pin down the TV's location to a precise physical coordinate.
Wendell and Steve outline the severe security implications of aggregating this data. If a rogue LG employee or an external attacker compromises LG's geolocation database, that mapping could be weaponized to pinpoint specific corporate targets. An attacker could scan the database to identify high-value LG displays situated inside boardrooms or executive suites across a massive 30-acre corporate campus before ever setting foot on the property. Wendell compares this capability to Meta, which previously faced intense scrutiny for enabling advertisers to target individuals down to specific residential street addresses.
```mermaid
flowchart TD
accTitle: Unwired Wi-Fi Geolocation Triangulation Flow
accDescr: Shows how an LG TV scans nearby wireless access points even on wired Ethernet to send BSSID and SSID data back to LG for precise geolocation.
subgraph LocalEnv["Local Environment"]
TV["LG Smart TV (Wired Ethernet Only)"]
AP1["Nearby Wi-Fi AP (MAC/BSSID A)"]
AP2["Neighboring AP (MAC/BSSID B)"]
end
TV -.->|"Passive RF Sniffing"| AP1
TV -.->|"Passive RF Sniffing"| AP2
TV -->|"Unencrypted Exfiltration"| Scan
Scan --> LGServer
LGServer --> Targeting
```
Because LG operates on the corporate philosophy that they "own the glass," the consumer is placed in an adversarial relationship from the moment the television is taken out of the box. Much of the outgoing telemetry is unencrypted, meaning anyone sitting in the middle of the network connection can inspect the data or potentially execute command-and-control operations. Furthermore, LG leaves countless domains registered to support legacy services; if LG ever allows any of these legacy domains to expire, attackers could buy them up to hijack massive fleets of older displays that LG refuses to patch.
- The TV determines precise physical location without GPS by harvesting nearby Wi-Fi network names and access point MAC addresses (BSSIDs).
- Wi-Fi scanning occurs even when the TV is connected exclusively via a wired Ethernet cable.
- Exfiltrated location databases could allow bad actors to locate specific TVs inside sensitive enterprise boardrooms or private campuses.
- Unencrypted network traffic and abandoned backend domains expose unpatched, five-to-six-year-old displays to command-and-control takeover.
---
[02:04:45](https://www.youtube.com/watch?v=6IFVTcM28KA&t=7485s) Explaining Remote Code Execution (RCE) and Exploit Chaining
Steve brings up an unpatched, high-severity vulnerability discovered by security researcher MrBruh. While Gamers Nexus cannot publicly disclose the exact mechanism because of responsible disclosure guidelines and the severity of the flaw, Steve notes that the bug allows unauthorized external access to the television. To help viewers understand the stakes, Steve asks Wendell to break down the fundamental concept of Remote Code Execution (RCE) in a broad technical context.
Wendell explains that an RCE vulnerability occurs when an external actor can force a target system to download and execute arbitrary code without needing direct physical access to the device. Initially, that code might only run within a restricted sandbox with limited rights. However, attackers use a technique known as "exploit chaining," linking an initial execution bug with secondary privilege escalation vulnerabilities to break out of the sandbox and gain full control over the underlying operating system. Non-interactive RCEs represent the most dangerous category of exploit because an attacker can surreptitiously compromise machines at scale across the internet without requiring a user to click a prompt or accept a connection.
- Remote Code Execution (RCE) allows an attacker to remotely force a target device to download and run arbitrary instructions.
- Exploit chaining involves pairing an initial entry vector with privilege escalation exploits to escape sandboxes and gain root-level control.
- Non-interactive RCEs are the most hazardous because they execute without any victim interaction or visual notification.
---
[02:07:03](https://www.youtube.com/watch?v=6IFVTcM28KA&t=7623s) Exploiting the Outdated Chromium Browser and Bogus Mobile Pairing
Wendell and Steve walk through the practical exploitation methods they tested in their lab, contrasting an older patched attack vector against a working exploit. An earlier, publicly patched method relied on knowing the TV's local IP address to spoof a mobile device pairing request. When run, it threw a pairing banner at the bottom of the screen; however, while it could trigger the notification code, it was patched before it could deliver a complete payload or grant full control.
The attack vector that actually succeeded targeted the television's built-in web browser. The native webOS browser is built upon an outdated, unmaintained version of Chromium. When navigating to an adversarial webpage, the site triggered a system-level popup asking the user if they wanted to pair a new mobile device. In reality, there was no physical mobile phone attempting to connect—the malicious webpage was masquerading as the device. Due to the sluggish, finicky nature of navigating webOS with the remote, or simply by trapping the user in a continuous prompt loop until they hit "yes" out of frustration, an attacker can trick the user into granting access, blowing the security perimeter wide open.
- An older patched exploit attempted to execute code via local IP pairing, but could only trigger a display banner without granting full system control.
- The working attack vector abuses LG's outdated Chromium-based web browser.
- A malicious webpage can masquerade as a mobile device, prompting a deceptive system pairing dialogue.
- Users can be tricked or coerced via repeated popup loops into hitting "yes," handing the attacker an immediate foothold on the local system.
---
[02:08:14](https://www.youtube.com/watch?v=6IFVTcM28KA&t=7694s) Forced Firmware Updates: Sneaking in Ad IDs and Modifying Functionality
Wendell criticizes LG's refusal to grant real root or administrative access to users, noting that even joining the official LG developer program fails to provide complete hardware control. The manufacturer's behavior consistently reflects the stance that the customer does not truly own the hardware they paid for. Wendell highlights his personal six-year-old LG TV as an egregious example: when initially purchased, the television's software lacked an advertising ID entirely.
Without Wendell ever consenting to updated terms or opting into tracking services, LG pushed a mandatory firmware update over the network. The update silently generated an immutable Advertising ID on the device and introduced dark-pattern cookie toggles that users cannot disable. Wendell and Steve point out that retroactively modifying core hardware functionality and privacy parameters after the point of sale—without explicit notification or new Terms of Service agreements—is an offensive breach of consumer trust. Wendell adds that user forums are consistently filled with owners "raising heck" because LG routinely alters basic hardware capabilities through surprise firmware updates, such as breaking or changing DTS audio handling without warning.
- LG's official developer program withholds low-level root access from owners.
- Older televisions purchased without tracking profiles received firmware updates that retroactively installed immutable Advertising IDs and cookie toggles.
- Functionality changes and ad-tracking mechanisms were applied unilaterally without requiring owners to sign new Terms of Service agreements.
- Unannounced firmware updates frequently modify basic multimedia capabilities, drawing persistent backlash from consumers over broken DTS audio support.
[02:09:27](https://www.youtube.com/watch?v=6IFVTcM28KA&t=7767s) The "Devil's Deal" of Smart Displays and Windows Update Abuse
Reflecting on his own workstation setup, Wendell reveals that while nearly every display in his office is manufactured by LG, not a single one has ever been allowed to touch the local network; each remains frozen on its factory out-of-the-box firmware. Pointing to a monitor mounted on the back wall, Wendell highlights a display from Korean brand Crossover that embodies the absurdity of the current market: Crossover's entire business model was buying bare LG display panels and pairing them with clean, alternative third-party electronics. In fact, peeling away the Crossover branding physically reveals the underlying LG factory sticker. Both Steve and Wendell laugh knowingly at why an entire hardware company exists solely to rip out LG's native processing boards and replace them with dumb scaler electronics.
Asked about his core counsel as an infrastructure and security consultant, Wendell states plainly that relying on integrated smart TV software is a "devil's deal" that inevitably deteriorates into user exploitation. Wendell remarks on LG's cynical ingenuity in co-opting Microsoft's Windows Update pipeline to push unwanted bloat and enshittify secondary displays, noting that computer monitors traditionally functioned as completely inert, passive hardware. When Steve points out that Microsoft actually owns the underlying data management service that LG relies on for these operations, Wendell notes that it tracks perfectly, while Steve jokes that Microsoft will gladly throw LG under the bus to dodge culpability. Both lament the corporate double standard: while Microsoft meekly asked LG if they could "maybe cut that out" without revoking their Windows Update publishing rights, an independent developer or security researcher caught exploiting the identical distribution mechanism would have had their signing accounts immediately terminated.
```mermaid
flowchart TD
accTitle: Device Ownership and Pushback Architecture
accDescr: Diagram illustrating the short-term defensive actions and long-term reform paths recommended by researchers.
subgraph Defend["Immediate Device Defense"]
A["Smart TV Hardware"] -->|"Air-gap"| B["Sever Network Connection"]
A -->|"Hardware bypass"| C["Use as Dumb Display / External Source"]
end
subgraph Community["Pro-Consumer Alternatives"]
B --> D["Community Projects & Custom Firmwares"]
C --> D
D --> E["Restored Hardware Ownership"]
end
subgraph Legal["Systemic Reform"]
E --> F["Consumer Demands & Legislative Pressure"]
F --> G["Mandatory Device Unlocking / Right to Control"]
end
```
[02:11:50](https://www.youtube.com/watch?v=6IFVTcM28KA&t=7910s) Monetizing Privacy and Visiting Horrors Upon the Living Room
Steve emphasizes that while LG will inevitably deploy typical corporate public relations—claiming that user security is their highest priority and promising immediate software patches—the company completely stonewalled Gamers Nexus when presented with the extensive dossier of vulnerabilities uncovered during the investigation. The real issue is not accidental software bugs, but deliberate architectural design: LG engineered this ecosystem specifically to extract recurring profit from personal data long after a consumer has already paid full price for the hardware.
Steve issues a stark warning about the long-term normalization of surveillance tech in consumer spaces. "If you want Flock cameras on your living room wall, this is how you get Flock cameras on your living room wall," he warns, arguing that the industry will continue pushing intrusive telemetry unless consumers stage an outright revolt. Giving a television platform this level of deep network and audio access serves no product-improving purpose; its singular function is to "visit horrors upon you." Because of this invasive paradigm, Gamers Nexus explicitly issues a total non-recommendation for all LG smart ecosystem products across the board.
- **Corporate Evasion:** LG failed to provide any formal response to the extensive list of privacy and security vulnerabilities submitted by the Gamers Nexus team.
- **Architectural Motive:** Telemetry and automated content recognition are not bugs or oversights, but intentional profit-generating mechanisms designed to extract post-sale revenue.
- **Consumer Recommendation:** Gamers Nexus advises consumers against purchasing or deploying any LG smart hardware under any circumstances.
[02:12:32](https://www.youtube.com/watch?v=6IFVTcM28KA&t=7952s) Funding Independent Investigations: The Data Dragnet Campaign
Turning to the logistical reality behind the investigation, Steve explains that the project was immensely resource-intensive. The report required over a full month of intensive labor from almost the entire Gamers Nexus staff, substantial domestic travel, and thousands of dollars spent purchasing retail television units to test and dismantle. Steve emphasizes that prolonged investigative journalism requires direct audience funding, as the studio cannot periodically halt normal production operations for three months at a loss to probe manufacturers.
To finance both this release and future planned deep-dives into competing smart TV giants like Samsung and Vizio, Gamers Nexus has launched the Data Dragnet crowdfunding campaign on their store website. Structured with Kickstarter-style milestone transparency, the campaign allows viewers to directly track total funds raised and fund future investigations. Backers can support the initiative by purchasing bespoke merchandise, including in-house burned Blu-ray documentary discs housed in custom 3D-printed cases, foil Cyber Skeleton and Polygon V2 apparel, or four distinct backer bundle tiers. The highest tier, the Saboteur tier, includes access to private post-campaign live stream Q&A sessions with Steve. Viewers looking to assist without buying merchandise can contribute via direct storefront donations, Patreon, or YouTube Super Thanks.
- **Investigation Overhead:** Consumed over a month of dedicated team time, substantial travel, and thousands of dollars in display hardware.
- **Target Manufacturers:** Future installments aim to apply identical teardown and network interception methodologies to Samsung, Vizio, and other smart TV brands.
- **Physical Campaign Merch:** In-house burned Blu-ray documentary discs with 3D-printed cases, foil Cyber Skeleton T-shirts, Polygon Shard V2 shirts, and GN project/soldering mats.
- **Support Platforms:** Backing available via `store.gamersnexus.net/data-dragnet`, monthly pledges at `patreon.com/gamersnexus`, or direct tip submissions to `tips@gamersnexus.net`.
[02:14:14](https://www.youtube.com/watch?v=6IFVTcM28KA&t=8054s) Reclaiming Device Ownership and Legislative Action
Reflecting on the broader cultural decay surrounding digital rights, Steve notes that even as the cultural Overton window shifts toward accepting corporate overreach, Gamers Nexus remains steadfast in the belief that spending thousands of dollars on a device should grant absolute ownership to the buyer. Security researchers MrBruh and Wendell both urge viewers to pull their LG TVs off all local networks immediately. Fellow researcher uturn provided an extended perspective, stating:
> "My recommendation to users would be to demand ownership over your devices. First, by using and supporting pro-consumer projects that seek to give you device control back, and second, by demanding legislation that reflects the changes you want to see. Cell carriers only carrier-unlock your phones because the 113th Congress made it law."
Steve underscores uturn's historic parallel, emphasizing that meaningful change requires pairing open-source consumer projects with legislative enforcement, citing the vital work done by advocacy organizations like FULU. Closing out the piece, Steve expresses profound gratitude to researchers Wendell, MrBruh, and uturn—encouraging viewers to support MrBruh and uturn via their community Ko-fi pages—as well as the anonymous industry whistleblowers who supplied crucial documentation. Steve asks anyone with insider knowledge to reach out via their confidential tips email before signing off with a final reminder to subscribe and support independent consumer reporting.
## Video description
SUPPORT THE DATA DRAGNET SERIES: https://store.gamersnexus.net/data-dragnet
The LG Smart TVs we've tested have first-party ACR (automatic content recognition) functionality that can pry into your personal life with greater precision than you might realize, with LG Ad Solutions' executives and leadership saying, on camera, that LG "owns the glass." Not you -- even though you bought it -- but them. They also talk about knowing everybody in the household, knowing the secondary devices, moving from TVs to smartphones and other screens, and more in their B2B discussions. Beyond just the fact that we think the TV's native behavior parallels malware, the LG Smart TVs we tested also have a number of security vulnerabilities that can be exploited to convert the TVs into covert listening devices. In this investigation, we dive into the mix of LG's first-party functionality that (in our opinions) is tantamount to spying and LG's vulnerabilities and exploits that they have failed to protect against.
LG responded to GamersNexus. Here's what we have to say: https://www.youtube.com/watch?v=ToP9xfLDSME
Learn about the special backer tiers with bonus videos and digital content: https://store.gamersnexus.net/data-dragnet
Or grab our new documentary and investigation disc packs! https://store.gamersnexus.net/products/gn-factory-tours-and-special-reports-blu-ray-discs-4k-case
Grab our backing music pack here: https://store.gamersnexus.net/products/cyberdystopia-music-audio-cd-w-3d-printed-case-by-aaron-pauley
And our brand new Cyberpunk Skeleton foil T-shirt: https://store.gamersnexus.net/products/gn-wireframe-polygon-shard-foil-cotton-t-shirt-86caz
Or our Polygon Shard V2 shirt: https://store.gamersnexus.net/products/gn-wireframe-polygon-shard-foil-cotton-t-shirt
And our Microslop glassware: https://store.gamersnexus.net/products/microslop-lifes-geotagged-parody-glassware-gold-rim
WITH THANKS TO:
Cybersecurity researcher MrBruh: https://ko-fi.com/mrbruhh
Cybersecurity researcher uturn: https://ko-fi.com/uturn
WENDELL of Level1 Techs: https://www.youtube.com/c/Level1Techs
Find Wendell's guide to take ownership of your TV here (more to come!): https://forum.level1techs.com/t/lg-tv-block-mini-how-to/255178
FULU: https://www.fulu.org/
Louis Rossmann: https://www.youtube.com/channel/UCl2mFZoRqjw_ELax4Yisf6w
Like our content? Please consider becoming our Patron to support us: http://www.patreon.com/gamersnexus
TIMESTAMPS
00:00:00 - LG's SPY TVs
00:05:10 - The Bunker of Secrets
00:07:10 - WE NEED YOUR HELP
00:10:06 - Vulnerabilities and Experts
00:13:19 - ACR: WE OWN THE GLASS
00:16:33 - Intercepting LG's Data Transfer
00:22:04 - Dark Patterns
00:26:08 - TLDR and Dumb Monitors
00:34:16 - HACKING THE TV
00:46:19 - Plain Text Transcript and Ambient Conversation
00:55:19 - Recording Playback Audio
00:58:42 - Residential Proxies and UPnP
01:02:46 - DRACONIAN AGREEMENTS
01:13:53 - LG AD SOLUTIONS and Alphonso
01:21:15 - Microsoft's Shady Connections and LG Response
01:28:23 - LOUIS ROSSMANN and Forced Arbitration
01:34:16 - HIPAA and Surgeon Discussion
01:38:33 - DMCA Section 1201 and Criminality
01:45:42 - CONCLUSION with Wendell and Recap
02:11:52 - What's Next and Supporting Us
** Please like, comment, and subscribe for more! **
Links to Amazon and Newegg are typically monetized on our channel (affiliate links) and may return a commission of sales to us from the retailer. This is unrelated to the product manufacturer. Any advertisements or sponsorships are disclosed within the video ("this video is brought to you by") and above the fold in the description. We do not ever produce paid content or "sponsored content" (meaning that the content is our idea and is not funded externally aside from whatever ad placement is in the beginning) and we do not ever charge manufacturers for coverage.
Follow us in these locations for more gaming and hardware updates:
Our policies, processes, and ethics statements relating to review samples, advertising, travel, errors, and more are transparently and publicly available on this page: https://gamers.nexus/ethics-statements
An investigation by Gamers Nexus and independent security researchers reveals that LG Smart TVs operate as aggressive telemetry and surveillance nodes embedded with unpatched security flaws. While sold as consumer displays, internal firmware behaviors and corporate statements demonstrate that the manufacturer treats the hardware as proprietary infrastructure designed to monitor home networks, index ambient audiovisual data, and serve programmatic advertising.
The ACR Monetization Model and Glass Ownership (3:19)
At the foundation of LG's smart TV business is Automatic Content Recognition (ACR), managed through its ad-tech arm, LG Ad Solutions (formerly Alphonso). In corporate presentations, executives Serge Matta and Justin framed the hardware relationship candidly, stating, "We own the glass. We own the TV... We understand everything that hits the screen." The underlying ACR software captures real-time acoustic and visual frame samples directly from the panel—regardless of whether the input is cable, internal apps, or a PC connected via HDMI—downsampling audio into 8 kHz streams and using Fast Fourier Transforms to match cryptographic hashes against ad databases.
This continuous monitoring feeds a high-revenue connected TV advertising machine; financial filings show Alphonso generated roughly $185 million USD in sales in the first quarter of 2026 alone. To protect this data pipeline, LG deploys manipulative interface dark patterns. Auditing the onboarding flow revealed nearly 50,000 words of legal agreements across six contracts, requiring 2,705 remote clicks to read. Crucial tracking options default to enabled, tracking toggles are buried in obscure menus, and software updates push advertising identifiers onto multi-year-old hardware without requesting updated consent.
Local Network Reconnaissance and Persistent Exfiltration (16:33)
Decompiled firmware analysis and packet captures conducted with researchers Wendell, MrBruh, and uturn revealed that LG TVs do not merely report their own usage; they actively sweep the user's local area network (LAN). During testing, the display executed reverse network queries that mapped 38 distinct secondary devices—including smartphones, internal media servers, 3D printers, workstations, and smart thermostats—packaging local IP addresses, device names, and hardware MAC addresses for outbound transmission. The TVs also monitor nearby radio frequencies, cataloging surrounding Wi-Fi access point MAC addresses (BSSIDs) to triangulate precise physical geolocation without requiring an onboard GPS receiver.
Testing showed that using the television as a disconnected "dumb monitor" does not guarantee privacy if terms were previously accepted. In lab tests, an LG QNED configured strictly as an external HDMI display contacted 22 distinct endpoints and uploaded 5.2 MB of data across 157 connections, with 54 connections directed straight to Alphonso ACR servers. When the network connection was severed entirely, the TV continued capturing and indexing telemetry locally to its onboard 16 GB flash storage, automatically queueing the data for exfiltration the moment network connectivity returned.
Audio Interception, Software Muting, and Covert Standby (34:16)
Auditing the webOS software stack exposed severe security vulnerabilities, including non-interactive root exploits that allow an attacker on the same network subnet to gain persistent system access without user interaction. Once compromised, the television can be co-opted into a covert room bug. While LG publicly stated that its TVs "do not collect, record, or store ambient conversations," internal memory analysis proved that captured speech is transcribed into plain text and stored directly inside system daemons like the `Voice agent result input voice keyboard` process. Integrated microphones easily detected conversational speech at distances ranging from 40 to nearly 70 feet away.
Physical privacy safeguards also proved deceptive. When the TV's software "mute" function was activated, the audio stream appeared to show dead silence; however, applying a +100 dB digital gain boost recovered intelligible human speech, revealing that the software mute merely attenuates input gain rather than cutting power to the microphone hardware. Furthermore, during a mock executive meeting where the display appeared completely powered down in standby mode, background listeners remained fully active, cleanly capturing and storing the mock conversation without any visual indication that the television was on.
Institutional Risks and the DMCA Ownership Dilemma (95:00)
Because off-the-shelf consumer televisions are commonly installed across executive boardrooms, patient exam rooms, and dental clinics, the hardware architecture presents severe institutional risks. Compromised sets can tap their own internal audio buffers to intercept unencrypted HDMI audio feeds originating from external conference computers. In medical environments, ambient recording and unvetted app ecosystems threaten HIPAA compliance. These vulnerabilities are compounded by lax app store governance: over 1,200 webOS applications were found embedding residential proxy SDKs, and standard partner trust permits third-party applications to query and control Universal Plug and Play (UPnP) devices across the local subnet.
Despite these invasive behaviors, consumers and enterprises face legal barriers when attempting to secure their hardware. As FULU Foundation Executive Director Kevin outlined, Section 1201 of the Digital Millennium Copyright Act (DMCA) criminalizes the circumvention of digital locks on copyrighted firmware, exposing individuals who attempt to excise telemetry code to felony penalties of up to $500,000 in fines and five years in federal prison. Consequently, users are legally restrained from purging spyware from devices they nominally own.
The investigation underscores that modern smart televisions operate as full-fledged, network-connected computers designed to prioritize ongoing corporate data extraction over user autonomy. Security researchers advise isolating these displays completely from local networks, but digital rights advocates emphasize that true consumer protection requires legislative reform to eliminate DMCA anti-circumvention restrictions and legally restore hardware ownership.
Original transcript
[0:00] LG TVs are able to be utilized as
[0:01] eavesdropping listening devices in part
[0:03] because of the advertising functionality
[0:05] that's built into them. We were able to
[0:07] retrieve plain text transcripts of voice
[0:09] conversations and inputs from the TV.
[0:12] Utilize the TV to record from a webcam
[0:14] and from a microphone while the TV
[0:16] appeared to be off. And it was clean
[0:19] capture, too. All right, so the screen
[0:21] appears to be off right now. Currently,
[0:22] Wend and I are in a border. How are you?
[0:25] >> Yikes. We were even able to capture
[0:27] microphone audio while the TV was
[0:29] unplugged from the network. This LG G5
[0:31] TV has a microphone connected to it and
[0:34] right now it's listening to me and
[0:36] saving the information. In fact, we can
[0:38] even unplug the network
[0:41] and it's still listening to me and what
[0:43] I'm saying is being stored by someone
[0:46] with remote access to the TV. And then
[0:48] we were able to excfiltrate that
[0:50] recording via vulnerabilities after the
[0:52] user reconnected the network.
[0:58] >> And it's still listening to me.
[1:00] >> No network.
[1:01] >> What I'm saying is being stored by
[1:03] someone with remote access to the TV.
[1:05] >> But that requires an adversary, which
[1:07] sounds scary. What we think is scarier
[1:09] is LG itself. LG's first party
[1:12] profit-seeking functionality prized deep
[1:13] into your private life. The TV crawled
[1:15] our entire network and found dozens of
[1:17] unrelated devices, including
[1:18] smartwatches and phones of our staff who
[1:20] didn't even know we were working on
[1:21] this, which might explain how LG ads can
[1:23] claim it knows about 363 million
[1:26] addressable secondary devices in the US,
[1:27] despite claiming a smaller 216 million
[1:30] smart TVs sold worldwide. And we don't
[1:32] think this is an innocent chcast
[1:33] connected device lookup, considering LG
[1:35] itself admits,
[1:36] >> "We know who's in the LG household. We
[1:38] know which devices are there. We know
[1:40] how to extend that reach into mobile.
[1:43] and they use secondary devices in
[1:45] political targeting. We also found
[1:46] through wire sharkark and inspecting
[1:47] firmware that LGTVs are capable of
[1:49] identifying your IP address, geographic
[1:51] location, name of every Wi-Fi network in
[1:53] the vicinity and signal strength,
[1:54] channel numbers of neighboring Wi-Fi
[1:55] networks in range and other devices on
[1:57] the network, even if not connected to
[1:59] the TV in any way, and the internal IP
[2:01] address of other devices on the network
[2:03] alongside others. In fact, the data that
[2:05] we collected through Wireshark shown
[2:06] here is such an egregious invasion of
[2:08] privacy that we can't even show you it
[2:11] because every line has something that we
[2:14] don't want to put out there. And this is
[2:16] the TV's native functionality. This
[2:18] didn't require vulnerabilities. Security
[2:20] researchers we worked with for this
[2:22] investigation also discovered several
[2:24] additional vulnerabilities that are
[2:26] going through the responsible
[2:27] disclosures period right now. So, we
[2:29] can't fully detail them yet, but the
[2:31] researchers have recommended
[2:33] disconnecting any LG smart TVs from any
[2:36] network. Ideally, you don't own
[2:40] thousands of dollars of LG TVs.
[2:44] Maybe if they're unplugged or physically
[2:47] destroyed, it's okay. But uh this is
[2:51] because there's some concerning
[2:54] vulnerabilities like for example remote
[2:56] code execution vulnerabilities where an
[2:58] attacker could manipulate what your TV
[3:01] does like this.
[3:11] Good night LG.
[3:14] That's the That's LG calling me right
[3:17] now.
[3:19] The listening device capability is
[3:21] partly because of ACR, a function that
[3:24] leads LG to tell its advertising
[3:26] partners that it quote owns the living
[3:28] room end quote and your TV. Here's LG Ad
[3:32] Solutions President Sergey Mata and also
[3:34] the head of research and development for
[3:36] LG Adolutions, Justin from
[3:38] >> in the fact that we have the glass. We
[3:40] own the glass. We own the TV
[3:42] >> because, you know, we own the glass. Um,
[3:45] and we have firstparty ACR data,
[3:48] automated content recognition data. We
[3:50] understand everything that that hits the
[3:52] screen.
[3:53] >> We own the glass.
[3:55] I paid $2,400 for this particular glass
[3:58] that arrived curved on one side,
[4:03] but I I guess I don't own it. Serge
[4:06] Mada, the first man who said LG owns the
[4:09] glass, is the president of LG
[4:11] Adolutions, which sells the data
[4:13] harvested from your television to
[4:14] partners. LG owns LG Adolutions, which
[4:18] is a private company. And that's a good
[4:20] thing because Mata is legally banned by
[4:23] the SEC from running a public company
[4:26] after settling charges relating to a
[4:28] fraudulent scheme. Now he's in charge of
[4:30] the data collected from your TV.
[4:32] Automated content recognition can be
[4:34] audio or video data, including
[4:36] screenshots, that's converted into a
[4:38] fingerprint, and transmitted back to
[4:40] servers. In this case, those servers are
[4:43] LG servers for its LG ad solutions
[4:47] company. So, even though we paid $3,000
[4:50] for some of these really nice TVs with
[4:52] multiple embedded microphones and webcam
[4:55] accessory options, some of these TV
[4:57] companies are now making more margin
[4:59] dollars from targeted ads than they are
[5:02] from selling the actual TV hardware.
[5:09] So, that's what we're going to talk
[5:10] about. To sort through all this capture,
[5:12] we went on a road trip to see Wendle of
[5:14] Level One Text in his bunker of secrets.
[5:16] We stopped at a Best Buy to buy a brand
[5:19] new LG G5 TV. I think we need a G5.
[5:22] >> We need something we can do a uh
[5:24] man-in-the-middle attack on to make it
[5:25] spy on us.
[5:27] >> Okay.
[5:27] >> So, and then we packed our future spy
[5:29] device into our rental car that's filled
[5:31] with other spy devices. And then we
[5:34] hacked the TV. I just Sorry, one second.
[5:36] Let me just I need to read a comment
[5:38] here. For purposes of this video, the
[5:41] phrase hacking refers to the colloquial
[5:43] definition found in the Marryiam Webster
[5:44] dictionary under hack. Definition two,
[5:47] noun one, paragraph 6, subline a quote,
[5:52] a usually creatively improvised solution
[5:54] to a computer hardware or programming
[5:56] problem or limitation. End quote. Now,
[5:58] our lawyers have made the totally
[6:00] unrelated point uh that we cannot
[6:03] legally agree to contracts such as terms
[6:06] of service or conditions while
[6:09] incredibly inebriated. We have Ethernet
[6:11] plugged into Gamers Nexus LLC's TV.
[6:14] >> There you go.
[6:15] >> That Gamers Nexus purchased
[6:18] while it was inebriated heavily.
[6:21] [laughter]
[6:22] >> It was unable to agree to the Ulook. If
[6:24] a check check check box were checked,
[6:26] >> it was entirely accidental,
[6:28] >> right?
[6:28] >> Yes.
[6:29] >> But we don't know if one had been
[6:31] checked. [music]
[6:32] >> Unlikely
[6:32] >> because of the inebriation.
[6:34] >> Yes.
[6:34] >> Yeah. You see that Stanley cup over
[6:36] there? That's just all margarita.
[6:39] [laughter] Just the entire thing.
[6:41] >> It's like 180 proof.
[6:43] >> Oh yeah. Look.
[6:45] Oh I accidentally clicked accept
[6:47] on the terms for voice and I'm
[6:49] incredibly inebriated. So it's it's
[6:51] storing what we say we So in the time
[6:53] you were doing this, Tannon activated
[6:56] the hands-free version
[6:58] >> also by accident. Also incredibly
[7:00] inebriated. He can barely stand over
[7:02] there. You know, frankly, it's amazing
[7:03] Vitali can hold the camera so straight.
[7:05] [laughter]
[7:09] >> We need your support on
[7:11] store.gamersac.net
[7:12] for these investigations. We spent
[7:14] around $70,000 to make this
[7:16] investigation happen when counting the
[7:18] over 500 hours of our team's work and
[7:20] the fact that we now have enough LG spy
[7:22] TVs to create a new three-letter agency.
[7:25] All that we paid for. So, we're
[7:27] launching our data dragnet Kickstarter
[7:28] style campaign that we've linked below
[7:30] to help fund our consumer device buying
[7:32] and production budget as we deep dive
[7:34] into more household spy devices like
[7:36] maybe other smart TV brands in this
[7:38] series and pay for this investigation.
[7:40] Our backer rewards include things like
[7:42] our brand new LG Investigation Blu-ray
[7:45] disc packs, including an impressively
[7:47] highquality thermally printed disc label
[7:49] with Parody Evil LG logo that has a
[7:51] camera for its eye. We're burning these
[7:53] discs completely in-house with our new
[7:55] duplicator machine. Then we put the
[7:57] discs in a special red edition 3D
[7:59] printed disc case [music] that we also
[8:01] make entirely in-house in our print
[8:02] farm. Each disc pack comes with a 128 GB
[8:05] USB drive that we duplicate inhouse with
[8:08] our USB cloner. video coming soon on
[8:11] that. And the drive contains a digital
[8:13] copy of this very video that you're
[8:14] watching right now as a DMCA abused Dead
[8:17] Man Switch. Besides, we all know how
[8:19] valuable 128 GB of flash is right now.
[8:22] The backer tiers also have exclusive
[8:24] benefits like additional footage and
[8:25] bonus videos, and very small group live
[8:27] streams, Q&A sessions with me in case
[8:29] you want to ask about this project,
[8:31] testing, advice, getting a job in the
[8:33] industry, and more. We're also launching
[8:34] this brand new Cyberpunk Skeleton foil
[8:36] t-shirt featuring a dystopian skeletal
[8:39] front made of components and wiring,
[8:41] plus a splash of red foil for the
[8:43] surveillance camera. Because of course,
[8:46] the back has a spine that runs all the
[8:47] way down the shirt and contains some
[8:49] Easter egg text relating to Gamers
[8:51] Nexus. Our Polygon Shard V2 shirt is
[8:54] also launching as part of this reprisal
[8:56] and rework of a nearly decade old
[8:58] popular design, now with improved
[9:00] sizing, color, and endurance. The front
[9:02] looks 3D in the light and has a
[9:04] wireframe GN logo, while the back has a
[9:07] polygon shard rainfall effect. All of
[9:09] these tiers are themed around our
[9:11] surveillance data dragnet hellscape. Our
[9:13] highest tier even includes a supporter
[9:15] credit for our future disappointment
[9:17] tour 2026 video. We have a ton of other
[9:20] cool stuff for this campaign to get you
[9:21] unique items, many of which we're now
[9:23] making entirely at G&HQ with our own
[9:25] team while supporting our expensive
[9:27] content. We're even 3D printing these
[9:29] miniature paintable goblin figurines to
[9:31] include with the e-waste inductor dice
[9:33] included in some of the backer tiers.
[9:35] And we have a new sticker pack available
[9:37] [music] with a Microsoft sticker. We
[9:39] need your help to pay for this very
[9:40] video that you're watching right now.
[9:42] Plus our next deep dives in this
[9:44] category of content. We're 70 grand deep
[9:46] in this report alone. And as a reminder,
[9:47] our reviews these days, like our
[9:49] half2500 case review, lose us money
[9:51] since no one can afford RAM. But we
[9:52] still produce them and subsidize them
[9:54] with support from campaigns like this.
[9:56] Visit store.gamersac. gamers.net to grab
[9:58] one of our backer tier kits now or check
[10:00] out the individual items all linked
[10:02] below. Thanks sincerely for your
[10:04] support. Now, back to the program. We
[10:06] have a lot to talk about in this video.
[10:09] like LG's automatic content recognition
[10:11] functionality that's designed to build
[10:12] advanced profiles on everything in your
[10:14] life, including secondary devices in the
[10:15] same household. The sale of that data,
[10:17] LG's political campaign targeting for
[10:18] quote voters that matter end quote. And
[10:21] we'll even go over 40,000 words of
[10:23] agreements relating to LG's smart TVs,
[10:24] including this sneaky change to the
[10:26] class action sections that they made
[10:28] after our first video. Oh, and we also
[10:31] hacked the TVs.
[10:32] >> Whoopsy doodle.
[10:33] >> But don't let that distract from LG's
[10:35] native spying functionality. One of the
[10:37] common misconceptions we've seen
[10:38] propagated online in comments and in
[10:40] videos is that simply unplugging your TV
[10:42] from Ethernet is enough to stop it from
[10:44] spy on you. That might not be enough.
[10:46] And in fact, even using an LG smart TV
[10:48] as a dumb monitor doesn't necessarily
[10:51] stop all of the functionality we're
[10:53] talking about today. Internet service
[10:54] providers sometimes have dual SSIDs that
[10:56] include open neighborhood Wi-Fi
[10:57] broadcast from customer routers such as
[10:59] with Comcast's Exfinity neighborhood
[11:00] hotspot and AT&T's public hotspots which
[11:02] are sometimes autoconnected to by
[11:04] devices when they discover the open
[11:05] network such as in an apartment building
[11:06] from neighbors using such routers. So
[11:08] this is a concern broadly speaking and
[11:10] future looking for smart TVs regardless
[11:12] of the brand. We're also talking to a
[11:14] lot of people for this video. So I'm a
[11:15] robotic general surgeon. What happens
[11:17] when I'm taking a patient phone call or
[11:19] I'm doing patient uh video visits and
[11:22] there's an LG monitor in the background?
[11:24] >> What happens if it's doing it on a on an
[11:26] LG monitor itself? Uh what's listening
[11:29] in? How is that how is that patient
[11:32] information protected?
[11:33] >> Yeah, I love giving up my seventh
[11:34] amendment rights to a company in an
[11:36] agreement that I never actually read.
[11:38] It's a complete scam in my opinion.
[11:39] >> Let's say worst case scenario, you turn
[11:41] it into a listening device. That seems
[11:42] pretty straightforward. You turn it into
[11:44] a device to exfiltrate information from
[11:46] a corporate network or a boardroom.
[11:48] >> That seems pretty straightforward. Um,
[11:50] you use it to maintain access like as a
[11:54] point of presence on a network. Um, even
[11:57] if you don't intend to capture audio and
[11:59] video,
[11:59] >> just to go through it, tunnel through
[12:01] it.
[12:01] >> It is perfectly functional as a proxy.
[12:03] So, you can proxy internet traffic and I
[12:05] can just, it's like, oh, I'm going to
[12:06] use this to move laterally through
[12:08] somebody's network. the kinds of things
[12:10] we see in the news where it's like, oh,
[12:11] Fancy Bear is attacking routers. Uh,
[12:13] Fancy Bear would be very comfortable
[12:15] inside LGTV.
[12:16] >> And we're even using our investigation
[12:17] today to push for actual legislation to
[12:19] protect consumers from this type of
[12:21] technology. I've been on the phone for 3
[12:23] days with various people in Washington
[12:25] DC about this and we just went on tour
[12:27] with Lewis Rossman's team to talk about
[12:29] some protections and getting laws
[12:32] created.
[12:33] >> How many people have had their TV or
[12:35] monitor for more than 3 years? Yeah. And
[12:38] and so this you are all part of the
[12:40] problem. They need you to buy they need
[12:42] they need you to buy monitors every year
[12:45] >> because of section 1201 of the DMCA.
[12:48] Simply circumventing a digital lock can
[12:50] become a copyright crime.
[12:51] >> Okay?
[12:52] >> And so when you're looking at these
[12:53] cases, right, you've got your TV that's
[12:55] spying on you, that's watching you,
[12:57] that's listening to you, right? You
[12:58] might want to go in and remove that
[13:00] software. Sure, there are ways that you
[13:02] can go through the menu. There's no way
[13:04] to know for sure,
[13:05] >> right,
[13:05] >> that that data flow is stopping unless
[13:07] you go in and take it out yourself. So,
[13:09] because section 121 does have that
[13:11] prohibition on the circumvention of
[13:12] digital locks, um, you're screwed. In
[13:16] other words,
[13:18] that's a lot for one video. Let's start
[13:20] with ACR. ACR is automatic content
[13:23] recognition that harvests data from
[13:25] devices like TVs, including screenshots
[13:27] of what the TV is showing and audio
[13:29] snippets coming out of the TV speakers.
[13:31] ACR can also run when the TV is used as
[13:33] a monitor. That data is converted into a
[13:36] digital fingerprint and compared to
[13:37] media databases that these companies
[13:39] have to identify your habits. In their
[13:42] own words, LG, we know who's in the LG
[13:45] household. [music]
[13:45] We know which devices are there. We know
[13:48] what you're exposed to on TV and we know
[13:50] how to extend that reach into mobile.
[13:52] You know, most streaming households
[13:54] subscribe to, you know, multiple
[13:57] streaming services. So, our line of
[14:00] sight to the screen can really help our
[14:02] partners. We own the glass. We own the
[14:04] TV. We own the glass.
[14:06] >> Since we own the screen and we own the
[14:09] operating system,
[14:10] >> most people are on their phone while
[14:12] they're watching TV. Now, being able to
[14:14] have ad experiences that are both on the
[14:15] big screen, but also on the screen in
[14:17] your hand. So, within an LG TV
[14:19] household, we can help extend a campaign
[14:22] footprint to the other devices in the
[14:24] household. AI is going to provide us.
[14:26] We're providing like all the rich data
[14:28] that we have from either our first party
[14:31] data, our viewing data, third [snorts]
[14:33] party data. How do we put it all
[14:35] together and then expose it to our
[14:37] clients in a in a tool or in a platform
[14:41] that's built on AI? Right? So, where I
[14:43] think the next evolution of ACR is the
[14:45] emergence of AC of AI com uh combined
[14:49] with contextual targeting. So, how does
[14:52] AI play down to a scene level?
[14:55] Leveraging the ACR, leveraging all the
[14:58] AI in real time of what they're
[15:00] watching, all the product placements. If
[15:02] there's a bar scene and that bar scene,
[15:05] you leverage AI to scan all the product
[15:08] placements.
[15:09] >> Yep.
[15:10] Well, instead of a generic CPG brand
[15:15] >> in the adbreak, why [music] not put
[15:17] immediately and you have to send that
[15:19] data in the metadata in the bitstream,
[15:22] send that data and [music] expose a
[15:26] beverage ad, a alcohol brand ad, like
[15:29] because you're in a bar.
[15:30] >> But even if you don't buy a smart TV
[15:32] with ACR, you probably will still
[15:34] encounter them dayto-day. You can find
[15:36] LG displays everywhere. hospitals,
[15:38] doctor's offices, waiting rooms, Airbnbs
[15:40] pointed straight at beds, paper hour
[15:41] conference rooms, college locker rooms,
[15:42] and they're in hotels everywhere. We
[15:44] even found this photo on Facebook of
[15:46] someone's dental visit, referencing what
[15:48] they say is an LGC4 OLED, which anyone
[15:50] can buy off a shelf, and it's displaying
[15:52] sensitive medical information, not to
[15:54] mention law firms or corporate
[15:55] boardrooms, and of course, your living
[15:57] room. No, wait, sorry.
[16:00] LG's advertiser's living room. They they
[16:03] made that clear. I forgot. Uh we're not
[16:05] saying that each of these TVs in these
[16:08] environments is actively being used as a
[16:10] listening device. That's not the point
[16:13] here. What we're saying is that in cases
[16:17] where the issues we found on our TVs
[16:20] exist on others or can exist on others,
[16:23] the capability may be there to do so to
[16:27] use it as a listening device. By whom is
[16:31] another question. So, to get into this
[16:33] mystery of what exactly is being
[16:35] potentially sent back to LG from the LG
[16:37] Smart TV, we needed to set up an
[16:39] interceptor. Getting into it, we worked
[16:41] with three security researchers for this
[16:42] piece. Mr. Bruh, who previously found
[16:44] major vulnerabilities in MSI software,
[16:46] AMD software, and now LG software and
[16:49] TVs, and who works for Community Good
[16:51] off of donations. We also worked with
[16:53] U-Turn who discovered and published
[16:55] several vulnerabilities relating to
[16:56] routers and network devices and who
[16:59] likewise has his own coffee page for
[17:01] community donations. And we worked with
[17:02] Wendel who himself has published
[17:04] vulnerabilities in various devices
[17:06] including routers. During our testing
[17:08] our TV continuously scanned our LAN, our
[17:11] local area network for all nearby
[17:13] devices. It obtained display names,
[17:15] signal strength, MAC addresses which are
[17:17] uniquely identifiable and more. Mr. RA
[17:19] confirmed his findings by decrypting and
[17:22] decompiling LG's firmware from one of
[17:24] its TVs with help from the TV
[17:26] jailbreaking community. Among other
[17:27] things, the TV did a reverse sweep of
[17:30] our entire local network. The TV seems
[17:33] to have found at least 38 other devices
[17:36] on our network. Based on our
[17:38] understanding, here's the complete list.
[17:39] With some information like specific
[17:41] device serial numbers, unique names, and
[17:43] internal IP addresses scrubbed, you can
[17:46] find everything on our network here. a
[17:48] Puscha XL 3D printer, an ESP32S3
[17:52] dev board, air purifier, and then you
[17:54] get into the creepy stuff. If that
[17:56] wasn't creepy enough, LG's TV seems to
[17:58] have detected that Vitali's editing
[18:00] machine was even running Team Viewer
[18:02] from its generic network discovery
[18:04] query, which Mr. Bra says was quote,
[18:06] "caught in the blast radius," end quote.
[18:08] The log files from the TV's data
[18:10] transmission also saw our internal
[18:12] servers. They found a Samsung smartphone
[18:14] with the staff member's username
[18:15] exposed. Another uninvolved staff member
[18:17] is S23 Galaxy on the network. The
[18:20] Alienware piece of that we use as a
[18:22] backup editing machine, someone's Note
[18:24] 9. LG's TV found various smartwatches,
[18:27] Pixels, [music] iPhones, internet
[18:28] gateways, and switches. And on top of it
[18:30] all, LG's TV even found what thermostats
[18:33] we have. LG happens to be a company that
[18:36] sells air conditioners and air
[18:38] conditioner accessories. [music] And we
[18:40] now have a device that pinned our HVAC
[18:44] system or parts of it. All because we
[18:47] bought a television and plugged it into
[18:50] the network to watch TV. I can't wait to
[18:54] start getting targeted ads for their AC
[18:56] units. So, if that's the way it's used,
[18:58] all of this is very creepy. [music] And
[19:00] if it's not the way it's used, all of
[19:02] this is very creepy. LG's Alfonso also
[19:05] collects these items. LG advertise ID
[19:07] non-reble device UU ID. the Alfonso user
[19:09] ID, active input, active application,
[19:11] uniquely identifiable MAC address,
[19:12] signal strength, device attributes,
[19:14] location, system power, onoff
[19:15] timestamps, and privacy consent flags,
[19:17] noting if the user opted in or out,
[19:18] among other data like nearby Wi-Fi
[19:20] networks that the TV detects. LG also
[19:22] sends its third party advertisers the
[19:24] user's local, language, and device ID
[19:26] when the user views, hovers, or clicks
[19:27] on their advertisement. Wendell's
[19:28] research noted that his LG TV also
[19:31] scanned neighboring Wi-Fi networks,
[19:33] which can then be used for geollocating
[19:35] you and your TV. There's an LG channels
[19:38] feature built into the TV that acts like
[19:40] old cable TV, providing you CNN or Fox
[19:42] or MSNBC or whoever else, but without
[19:45] cable. Mr. Bra noted that this is
[19:47] heavily logged by LG's Alfonso automatic
[19:51] content recognition system and even an
[19:54] HDMI connection was undergoing ACR. When
[19:56] we provided yet more log files to Mr.
[19:58] bra. He found these telemetry end points
[20:00] pinninging anywhere from every 75 to 90
[20:02] seconds to 300 seconds to sometimes as
[20:05] infrequently as every 5 to 10 minutes
[20:07] with the LG channels feature. He noted
[20:09] these telemetry end points. It's not a
[20:11] surprise to see Amazon or Google ads in
[20:13] here. But what is interesting is that
[20:16] Kviva video analytics has a unique
[20:19] fingerprint to our device as far as we
[20:21] can tell which allow us tracking as we
[20:23] look at content on our TV. Mr. RA told
[20:26] us, quote, "There's no privacy when
[20:27] watching IP TV via LG channels, as the
[20:30] DNS requests made can be reversed to
[20:32] determine what channel you are watching
[20:34] at any given time. This is available to
[20:37] anyone on the LAN or your ISP or the
[20:40] government by extension." End quote. As
[20:43] seen here, the TV sends a DNS query
[20:45] containing CNN US while watching CNN US,
[20:49] NBCN while watching NBC News Now, Fox
[20:52] Digital WTTG while watching Fox's
[20:55] regional WTTG news station, and so on.
[20:58] When we asked Mr. Brah what his thoughts
[21:00] were on why they might want to harvest
[21:02] every device a TV buyer owns, he said,
[21:04] quote, "The display regularly scans your
[21:07] land to detect what devices you're
[21:08] running. This is likely being done both
[21:10] for legitimate, eg autod discovery
[21:13] network shares and folders reasons and
[21:15] tracking reasons. Eg. If it sees you
[21:17] have an iPhone 12, you might get adverts
[21:20] for the latest iPhone 17. End quote. Our
[21:22] TV is sending an estimated 4 GB of just
[21:26] ACR data alone back to LG every month.
[21:30] Now, that's predominantly text
[21:32] fingerprints at this point. That's a lot
[21:35] of data for something that's just text.
[21:37] In addition to the IP address that LG is
[21:39] able to harvest, networks are also
[21:41] pretty unique. This is true for
[21:42] everybody. Even if you think your
[21:44] network is pretty boring. And that means
[21:47] that in theory, even if we were to opt
[21:50] out of tracking, get rid of the TV, and
[21:52] then buy a different LG device later,
[21:54] like an air purifier that has the same
[21:57] type of functionality or similar to it,
[22:00] there's a a chance that those data
[22:02] profiles are linked back together. The
[22:04] TV employs dark patterns that make it
[22:06] unclear whether you're opted in or out
[22:08] of targeting. LG berries do not sell my
[22:11] personal information toggles deep in the
[22:13] TV menus and disables the option by
[22:15] default on our tested TVs, even before
[22:17] users ever connect to the internet or
[22:20] accept any agreements. It adds
[22:21] advertising tracking IDs to years old
[22:23] TVs after firmware updates and seemingly
[22:26] without having ever agreed to terms of
[22:28] service of any kind. In certain software
[22:30] versions, LG silently adds and toggles a
[22:33] setting called cookies. It's off by
[22:35] default, which sounds like a good thing.
[22:37] Except upon closer inspection, we found
[22:40] that the toggle misleadingly actually
[22:42] corresponds to quote advertising
[22:44] frequency capping cookies end quote,
[22:47] which track the number of times a
[22:48] particular ad is shown on your TV. If
[22:51] you want to download an app, you're
[22:52] required to accept two agreements, but
[22:54] LG pops up six with select all
[22:57] highlighted by default. If you want to
[23:00] use the app you just downloaded, you're
[23:02] required to accept another three
[23:04] agreements, but LG pops up four with
[23:08] select all highlighted again. But what
[23:11] if you just opt out of all of this
[23:12] stuff? As for the opt out, Mr. Bra noted
[23:14] from the firmware decompile that when
[23:16] you opt out of tracking, quote, they do
[23:19] send one final snapshot of all tracking
[23:21] data to Alfonso upon opting out though,
[23:24] which is pretty dirty of them. The TV
[23:26] still does occasional beacons that tell
[23:29] LG when your TV starts or when it's
[23:31] online. However, the data sent during
[23:33] those beacons is minimal. Said beacons
[23:35] to LG contain an X device ID. Upon fully
[23:39] opting out and refusing the terms and
[23:41] conditions, the algorithm that generates
[23:43] this device ID switches from using the
[23:45] full MAC address of the device to only
[23:48] use the MAC OUI or the organizationally
[23:51] unique identifier, which is an ID
[23:53] assigned per vendor. same across all LG
[23:56] devices and makes requests using it semi
[23:58] anonymous. This X device ID is also
[24:01] provided to any firstparty adverts when
[24:04] you view, hover, or click on an advert
[24:07] that's shown on the TV. However, since
[24:10] the MAC address can be derived from a
[24:12] key set per model, you can brute force
[24:14] the decryption keys until one works and
[24:18] you can figure out the model of LG that
[24:20] sent the beacon request to LG. So LG
[24:24] would get your public IP and device
[24:26] model and know when it boots and is
[24:28] online. We've just put a formula on
[24:30] screen. The formula you're seeing on the
[24:31] screen is our understanding of how the X
[24:34] device ID is constructed. Amusingly, Mr.
[24:36] Broad describes how even this device ID
[24:38] seemingly has its own vulnerabilities.
[24:40] It's supposed to be randomly generated,
[24:42] he thinks, and anonymous. But LG's
[24:44] implementation is flawed. He states,
[24:46] quote, it generates the device ID by
[24:48] combining a random salt generated on
[24:50] boot with the devices's MAC address.
[24:53] Normally, this is done using a process
[24:54] called hashing, where it generates a
[24:56] pseudo random output based on an input,
[24:59] and it cannot be reversed. However, LG
[25:01] chose to encrypt the MAC address and
[25:03] random salt instead of hashing it. This
[25:06] means anyone who has the model secret
[25:08] key can reverse the device ID and
[25:10] recover the MAC address, which means the
[25:12] advertisers would have a persistent
[25:14] identifier that is not random and no
[25:16] longer changes on reboot. End quote.
[25:18] Now, Mr. Bra also noted that at least
[25:20] these trackers remain when going through
[25:22] the opt- out process. Quote, device
[25:24] still authenticates on boot with LG. It
[25:27] still sends a plain text TV is online
[25:29] beacon to LG every time it boots up or
[25:30] you change network or if it drops the
[25:32] network and then autoreonnects. When you
[25:34] opt out, it sends a network request to
[25:36] LG saying that you have opted out and
[25:38] includes your TV's MAC address in the
[25:40] request. A notification of opt out is
[25:42] sent to Alfonso in relation to the ACR.
[25:44] This includes a snapshot of the majority
[25:46] of the information Mr. Bruss specified
[25:49] as collected and shared with Alfonso.
[25:50] End quote. Further, LG's firmware stores
[25:54] the model secret in the mount LG CMN
[25:57] data log folder, meaning users can
[25:59] jailbreak their TV, extract the model
[26:02] secret, which is the same for all TVs of
[26:03] that model, and deanonymize the
[26:06] advertisement data to tie it back to
[26:07] users original MAC addresses. Look,
[26:09] there's a lot of technicals here today.
[26:11] We're not going to go into all of them.
[26:13] This is probably enough to kind of get
[26:15] to the TLDDR of this part, which is
[26:18] TLDDR
[26:20] is We think all of this is
[26:24] related to LG's decision to build such
[26:29] tracking to begin with. Regarding the
[26:31] audio, Mr. Ru describes how it processes
[26:34] these captures, explaining, quote, it
[26:36] downsamples it to 8 kHz mono, then runs
[26:39] a fast furrier transform on 40 chunks of
[26:42] 100 milliseconds of audio, combines the
[26:44] FFTs into a fingerprint, and uploads the
[26:47] result. End quote. If you clicked select
[26:49] all to the agreements when setting up
[26:51] your LG smart TV, your TV is very likely
[26:53] collecting ACR data, even if you
[26:55] disconnect it from the internet after,
[26:57] and you only use it as a dumb display
[27:00] from that point forward. This is
[27:01] important. Those of you watching this
[27:03] video who are like, I'm just going to
[27:05] unplug it from the internet and I I'll
[27:07] connect it to a computer. This is what
[27:08] you need to pay attention to. Okay. Our
[27:11] understanding is that your TV has the
[27:14] capability to transmit it back to LG if
[27:17] it connects to the internet. Again,
[27:19] we're not the only one saying this.
[27:20] According to the New York Times, quote,
[27:22] "The Center for Digital Democracy study
[27:24] found that in the smart TVs they tested
[27:26] from LG and Samsung, ACR continued to
[27:29] run and capture data even when the smart
[27:32] TV was offline. Now, we can't test every
[27:35] single LG TV monitor, display, and all
[27:39] the firmware and software versions that
[27:40] are out there for them. So, this may not
[27:42] always be the case, but to the best of
[27:45] our understanding, this is the case in
[27:47] at least some of the situations we've
[27:49] been able to verify or where we found
[27:51] third party sources that have verified
[27:53] it. Uh, we also collected some of our
[27:55] own wire sharkark samples to identify
[27:56] how often our TV sends ACR data to
[27:58] Alfonso when a laptop is connected to
[28:01] the TV via HDMI. Before testing, we also
[28:04] had to modify some network settings to
[28:06] do this. So, we forced our test bench
[28:08] running Wireshark to mirror the port of
[28:10] our LG smart TV. And here's what we
[28:13] found. When we didn't accept any
[28:15] agreements when setting up the TV, but
[28:17] with it connected to the internet, based
[28:19] on the samples we collected locally on
[28:21] our LG G3, it seemed that the TV didn't
[28:24] collect or transmit ACR data, but it
[28:27] still reaches out to several of LG's
[28:29] advertising [music] and customer data
[28:31] platform endpoints and repeatedly scans
[28:34] for nearby devices. That's not to
[28:36] mention the fact that if you don't
[28:37] accept any agreements, it has very
[28:39] limited usefulness for basically any of
[28:42] the TV functionality. That's kind of a
[28:43] different point though. In the hourlong
[28:45] sample we collected before accepting any
[28:46] agreements and while using our LG G3 as
[28:49] a dumb display connected to a laptop via
[28:51] HDMI, our LG TV connected to eight
[28:54] different endpoints, including those for
[28:56] LG's customer data and smart advertising
[28:59] platforms. It transmitted or received
[29:01] roughly 8.9 megabytes of data in the
[29:04] hour-long sample. We'd estimate the TV
[29:06] sends or receives around 6.4 gigabytes a
[29:09] month. It sent out 38 DNS queries to
[29:12] different LG domains. And it repeatedly
[29:14] pinned for nearby devices, including our
[29:16] TRNA server, our PCs, our phones, our
[29:19] network switch, and some IP addresses,
[29:20] which we've redacted, our printer, our
[29:23] 3D printers, and basically everything
[29:25] else. But we can't show a lot of it for
[29:27] privacy reasons. We found several MAC
[29:29] addresses in our Wire Shark logs which
[29:31] are identifiable and that we'd assume
[29:34] our TV is sending back to LG. After
[29:36] agreeing to LG's terms, but while only
[29:38] using the TV as a dumb monitor, our G3
[29:41] connected to 29 different endpoints, a
[29:43] total of 107 times with 44 connections
[29:46] to Alfonso ACR, sending it a total of 4
[29:49] megabytes of data. We also collected two
[29:52] roughly 50-minute samples using our
[29:54] newer 43in QED 73BTV as a dumb monitor
[29:59] in the first and using LG channels in
[30:01] the second. In the first capture, our
[30:03] QED connected to 22 different endpoints,
[30:05] a total of 157 times, connecting to the
[30:08] Alfonso ACR 54 of those times and
[30:11] sending 5.2 megabytes of data. In the LG
[30:14] channels capture, it connected to 60
[30:16] different endpoints, a total of 847
[30:18] times, connecting to Alfonso ACR 618 of
[30:22] those times and sending a slightly less
[30:24] 4.5 megabytes of data. Now, some of the
[30:26] data harvesting that we've spent the
[30:28] last, I don't know, whatever it is, half
[30:30] hour or something discussing seemingly
[30:32] contradicts LG's own statements on its
[30:34] upgraded ACR solution in 2022, where it
[30:37] stated, quote, "The ACR data, which is
[30:39] in compliance with all global and
[30:41] regional consumer data privacy
[30:43] regulations, helps brands understand in
[30:45] an anonymized fashion how frequent
[30:48] certain TV ads were aired in any given
[30:51] household." End quote. We think there's
[30:53] contradictions to that statement in
[30:55] here. Or put another way to quote
[30:57] Wendell.
[30:57] >> Oopsy doodle.
[30:58] >> Now, unfortunately, without a
[30:59] man-in-the-middle certificate,
[31:02] you can help if you want to. Uh, we
[31:04] don't know exactly what information is
[31:06] being harvested of that list as the data
[31:09] being sent to LG is encrypted.
[31:12] If you happen to know things that would
[31:16] be helpful for this, you can email us at
[31:19] tips tips gamers nexus.net. There is
[31:22] encrypted stuff happening on the wire
[31:24] between LG and the TV.
[31:26] >> Things that the user can't decipher.
[31:28] >> Yeah. And if you look at it, it really
[31:30] doesn't look a lot different than
[31:32] malware with a command and control
[31:33] server.
[31:34] >> LG has like their command and control
[31:37] server in the the TV phone's home that's
[31:40] encrypted. You can't there's nothing you
[31:41] can do about that. It's encrypted. You
[31:43] can't
[31:44] >> peel back the lenolium. You can't
[31:45] unencrypt it and figure it out. In order
[31:48] to unencrypt it, you have to load an
[31:50] encryption certificate on your TV. You
[31:53] have to say if you see an encryption
[31:55] certificate signed by this entity, which
[31:57] is me,
[31:58] >> then you can trust it. And that's that's
[31:59] what the certificate store is. It's a
[32:01] store of things to trust.
[32:02] >> So you add a thing to the thing to trust
[32:05] and then now when the TV tries to access
[32:08] LG, it's not accessing LG, it's
[32:10] accessing me and then I in turn access
[32:12] LG. So the TV accesses me and then it's
[32:14] decrypted and then I can examine it and
[32:17] then I establish a new encrypted
[32:18] connection from me to LG.
[32:20] >> So I can see what's coming from LG on
[32:22] the one side and I can see what the TV
[32:24] is saying on the other side.
[32:26] >> But in order to do that, we have to
[32:28] convince the TV to trust the certificate
[32:33] store. And this is like for malware or
[32:35] research or whatever. That is a
[32:37] man-in-the-middle attack.
[32:38] >> And so this is also a way that you could
[32:40] steal passwords and things like that.
[32:42] Google has gone to great lengths to make
[32:43] sure that their certificates like
[32:45] there's extra checks in their software
[32:47] to make sure that the certificate is
[32:48] actually a Google certificate.
[32:50] >> LG has done the same. LG has said, "We
[32:52] don't want you to be able to customize
[32:54] the certificates." But this is a legit
[32:56] thing businesses do. So, if you buy an
[32:58] LG TV in a commercial setting, they have
[33:00] not nerfed your ability to load custom
[33:02] certificates on a commercial version of
[33:04] a TV, which seems weird. It's like, why
[33:06] would you limit
[33:07] >> a residential TV unless you wanted to
[33:09] hide what
[33:10] >> capabilities? Yeah.
[33:11] >> Yeah.
[33:12] >> Here's where it gets weird. There's a
[33:14] lot of traffic that we observed that's
[33:15] unencrypted, which is weird cuz your ISP
[33:17] could steal that, too. Like, that's a
[33:18] whole other conversation.
[33:20] >> But, um, uh, with my encryption
[33:22] certificate on the TV, I have a better
[33:25] ability to look at things, but the TV
[33:27] was still failing. It turns out LG has
[33:29] set up a separate certificate store in
[33:32] some of their applications. And so
[33:33] again, I had to like go into running
[33:35] processes and inject the custom
[33:38] certificate as a trusted certificate so
[33:40] that the com.OS.lg
[33:44] like custom software machinery outside
[33:46] the Linux part of it would also trust my
[33:48] encrypted.
[33:49] >> Our researcher mentioned something about
[33:50] I want to say chromium maybe.
[33:51] >> Yeah. Inject because like the chromium
[33:53] browser automations are like part of the
[33:55] thing. And so that is like the
[33:57] mechanical underbelly of how that
[33:58] happens. But they've bypassed the
[34:00] operating system to DIY it. you only
[34:02] need one or two flaws that you could
[34:04] chain together in order to convince the
[34:07] TV to trust or to exchange. And then at
[34:10] that point, if you're in the middle
[34:12] between the TV and the internet, then
[34:14] it's a command and control type
[34:15] situation.
[34:16] >> So, we spent the first part of this
[34:17] video talking about LG's first party
[34:19] features. Now, we're going to talk about
[34:20] some of the security vulnerabilities and
[34:22] exploits that increase the risk due to
[34:24] LG's lacadasical security approach and a
[34:27] combination of its intended features. To
[34:30] do this, we rooted the TV. This changes
[34:32] the functionality that LG has built into
[34:34] their software, but that lets us audit
[34:36] and look around. It might not be obvious
[34:38] to a typical end user that a TV has been
[34:40] rooted or that a TV has been
[34:42] compromised. Mr. Bra has an exploit that
[34:44] lets you non-interactively compromise
[34:45] the television in a way that most people
[34:48] likely wouldn't notice. And because it's
[34:51] a computer, you can alter the
[34:53] functionality of the TV. For example, if
[34:55] your conference room TV is on public
[34:57] Wi-Fi, somebody on the network could
[34:59] exploit the TV non-interactively and
[35:02] then they're living in your TV. In one
[35:04] instance, before we ever accepted any
[35:06] voice agreements, Wendell was already
[35:08] able to show voice capture via
[35:10] microphones that are part of the system.
[35:14] Okay.
[35:16] Can you play the the audio we just
[35:18] captured? It's going to be very painful.
[35:29] We think that's from a wake onvoice
[35:31] pulse density modulation microphone
[35:33] that's built into the TV capturable and
[35:35] exportable in an attacker scenario even
[35:38] without opting into the voice
[35:39] agreements. Now that audio didn't sound
[35:42] particularly
[35:44] comprehensible, but I noticed that
[35:46] running a highp pass filter and killing
[35:48] the static from one channel made it
[35:49] sound like human speech. Then I pitch
[35:52] and frequency adjusted the remaining
[35:53] channel and that gave us this.
[35:57] >> No, it's trying to uh to sample audio
[36:02] and then
[36:02] >> we think someone with some skill and
[36:04] some time could easily exploit this
[36:06] microphone's presence as a listening
[36:08] device and in some exploit scenarios
[36:10] likely without the TV owner ever
[36:12] knowing. But the question we need to be
[36:14] asking isn't how can we make our
[36:17] microphones embedded in our TVs more
[36:19] secure. The question we need to be
[36:21] asking is why are their microphones
[36:23] embedded in our TVs?
[36:26] Because they're only there as a
[36:27] byproduct or a direct product of LG's
[36:31] profit- seeeking functionality, if you
[36:33] can call it that, that they try to add
[36:35] to their TVs. But there's more. In some
[36:39] of the scenarios that we were testing at
[36:42] one point, we were even able to
[36:45] exfiltrate microphone audio that sounds
[36:49] like this.
[36:53] The waveform's on the screen. Dead
[36:55] silence is what it sounds like. But when
[36:57] I inspected the waveform, I noticed a
[37:00] couple pixels of sound. So I amplified
[37:02] the recording by 50 dB, which showed
[37:04] some more pixels of deviation from
[37:06] silence. then amplified another 50 dB.
[37:10] That looked like a speech waveform
[37:12] because it is. This is what that sounded
[37:14] like.
[37:15] >> Hello. This is another 32-bit test.
[37:24] >> So, we retrieved from the TV a warbly,
[37:25] but with some work, clear and usable
[37:27] section of audio. Now, we don't know
[37:29] this part for sure, but it looks like
[37:32] the intent was for the microphone to
[37:35] have been muted. Maybe for example, by
[37:37] dropping the gain instead of some other
[37:38] more surefire method of killing that
[37:41] microphone. We're not exactly sure why
[37:43] it behaves in the way that we are
[37:45] describing, but consumers don't realize
[37:48] how vulnerable this makes them to
[37:50] outside attackers or invasions of
[37:53] privacy, whether that's LG's or others
[37:56] actions now or in the future. This
[37:58] raises some other concerns. We noticed
[37:59] that when you use the toggle to turn the
[38:01] microphone off, it only turns off the
[38:03] built-in microphone. It doesn't turn off
[38:05] all other microphones that are part of
[38:07] the system. We suspect there's a path to
[38:09] capture audio anyway, especially if the
[38:11] microphone lockout is merely a software
[38:13] lockout.
[38:13] >> Now, the mic thing is a little
[38:15] complicated. This TV happens to be one
[38:17] of the ones that has a mechanical
[38:19] switch. We can turn it on and then the
[38:22] built-in microphone is listening. I've
[38:23] got some debugging stuff. [music] You
[38:25] know, it's telling us what the
[38:26] pre-processor is. Don't worry about
[38:27] that. But we can also turn it off.
[38:30] The promise is the switch is off. The TV
[38:32] is not listening. The problem is that
[38:35] that doesn't mean the TV can't capture
[38:37] audio at all. This is a terminal shell
[38:40] and it is remote access to the TV. So, I
[38:44] have a shell on the TV and that is a
[38:45] list of audio devices that are on the
[38:48] TV. There's a lot there's a lot of audio
[38:50] devices. Even with that microphone
[38:52] switch off, I've got the option to
[38:54] capture audio from HDMI. I've got the
[38:56] option to capture audio from other
[38:58] sources that are connected like
[39:00] Bluetooth or [groaning]
[39:02] USB speaker or USB webcam. Any other USB
[39:05] peripherals you might have, maybe your
[39:07] stereo setup is kind of fancy and it has
[39:09] like an echo cancellation mic. If that
[39:11] shows up as an audio device, I can
[39:13] capture from that as well. The LG
[39:15] remote, it also has a microphone and I
[39:18] can press the button,
[39:20] I get a light. Is it all about the
[39:22] Pentiums?
[39:27] And this works. Now remember the the mic
[39:29] switch is off.
[39:30] >> We searched using AI but couldn't find
[39:32] the content you requested. Try finding
[39:34] more information with Copilot or check
[39:36] the YouTube results.
[39:38] >> It it found all about the Pentiums. So
[39:41] just because the built-in mic is off,
[39:43] which in my opinion is a little bit
[39:46] suspect from stuff that I'll show you in
[39:48] a second, but all the other audio
[39:50] sources work just fine. Now, let me show
[39:52] you something cool. I'm running a
[39:53] program on the TV and I'm now pressing
[39:57] the button on the remote
[40:00] and notice there's no popup. An attacker
[40:02] can send audio over this channel and
[40:04] capture [music] it and that's what we
[40:05] see in the output here. The nice thing
[40:07] about this is that when I press the
[40:09] button I get the voice input remote 1.
[40:11] So, the fact that this is open it
[40:15] creates a device and when it's closed
[40:17] there's no device there. There's nothing
[40:19] to [music] capture from. I'm suppressing
[40:21] the UI. I'm suppressing the LG
[40:23] functionality. I've taken it over, but
[40:25] I'm using that to listen to the room. I
[40:28] could listen to the room through a
[40:29] webcam continuously. I could set up
[40:31] something like this where I've got a
[40:32] wireless microphone somewhere that's
[40:34] sending to the TV and the TV's used as a
[40:36] capture endpoint. You know, if you're an
[40:38] adversary, the sky's is the limit in
[40:40] terms of creativity because it's a
[40:41] powerful computer behind the glass and
[40:44] the hacker will own the glass. It's very
[40:46] difficult for you as the end user to own
[40:49] the glass or even know what's going on
[40:50] behind the glass. I love pushto talk.
[40:52] That's that's great in terms of privacy.
[40:54] I like the idea of a mechanical switch.
[40:56] It's just not clear to me if the
[40:58] mechanical switch is actually killing
[41:00] everything that it should. Even with the
[41:02] mechanical switch off, I can still see
[41:04] an audio device. Sometimes the
[41:05] microphone control is not a mechanical
[41:09] switch. Sometimes it's just in the menu.
[41:10] The problem is that if I'm in remotely,
[41:12] I can manipulate the menu from the shell
[41:15] as well. Voice recognition settings very
[41:17] serious. It clears the display. You can
[41:20] see everything is enabled here. The
[41:22] functions enabled, the whole nine yards.
[41:24] Now, I'm going to show you something
[41:25] really cool. It's like, oh, I've
[41:26] disabled all of those features through
[41:27] the menu. Hands-free voice control is
[41:29] disabled or the microphone is disabled
[41:31] in [music] the menu. You think you're
[41:33] you're good to go, right? I ran a
[41:34] command on the TV just now to change the
[41:37] parameters. And now all of the AI voice
[41:39] recognition [music] stuff is enabled.
[41:42] If I go back in the menu,
[41:46] now the function's enabled. So, if you
[41:48] need to enable or disable something in
[41:50] the menus as an attacker, it's not
[41:52] really a big deal to do that from the
[41:53] command line once you've got control of
[41:54] the TV over the network or whatever
[41:56] else. But it turns out the voice
[41:58] hardware works whether or not you agree
[42:00] to the terms anyway for somebody that's
[42:02] in the TV the way that we are.
[42:04] >> These are fundamentally display devices
[42:06] with credit to LG pretty powerful
[42:08] computers inside of them. So, really the
[42:10] only limit to what you can do with a
[42:13] computer in a TV is your imagination.
[42:16] This LG G5 TV has a microphone connected
[42:19] to it. And right now it's listening to
[42:21] me and saving the information. In fact,
[42:23] we can even unplug the network
[42:26] and it's still listening to me. And what
[42:29] I'm saying is being stored by someone
[42:32] with remote access to the TV. So, it's
[42:35] recording now, but we're going to plug
[42:36] it back in and I'm going to copy the
[42:37] audio off because it's got a smart
[42:39] microphone. You can do wake words and
[42:41] all sorts of fun things like that. And
[42:43] so, it's a Linux box. I've got access.
[42:46] >> So, he's got remote access. Let's prove
[42:48] the concept and give it internet again.
[42:54] >> Yay. All right.
[42:59] >> You want to walk us through what you're
[43:00] doing here?
[43:01] >> In fact, we can even
[43:05] >> And it's still listening to me.
[43:07] >> No network.
[43:08] >> What I'm saying is being stored by
[43:10] someone with remote access to the TV.
[43:12] >> [clears throat]
[43:12] >> So, it's recording now, but we're going
[43:14] to plug it back in. It doesn't copy the
[43:15] audio off because it's got a smart
[43:17] microphone. You can do wave words and
[43:19] all sorts of fun things like that. And
[43:21] so,
[43:22] >> there you go. 30 seconds of audio. Uh,
[43:25] yeah. I mean, there's a microphone in
[43:27] there. There's actually several. Um, we
[43:29] figured out how to activate the farfield
[43:32] microphone, which is a lower bit rate,
[43:34] but it or it uses like feedback and you
[43:36] can like it does that for improving the
[43:38] audio, but you can use it as a listening
[43:40] device. It's the audio quality is good
[43:41] enough.
[43:42] >> Did you imagine this in a hotel room?
[43:47] >> The hackers are already in your TV.
[43:50] [laughter]
[43:51] >> So, there is a mechanical microphone
[43:53] switch on the TV. Well, it's not really
[43:56] mechanical. It's just there's a switch.
[44:00] If I turn the microphone switch off, it
[44:03] says the built-in mic is turned off, but
[44:05] there's more than one microphone.
[44:08] Now the the microphone switch is
[44:10] actually off right now
[44:13] recording.
[44:14] >> That's weird because we can record the
[44:15] audio
[44:16] >> audio from the webcam.
[44:17] >> From the webcam.
[44:18] >> Yeah.
[44:19] >> So if you've got the USB webcam
[44:20] accessory, guess what?
[44:22] >> Yeah, we have a webcam plugged in. So
[44:24] this is uh just a generic webcam. And
[44:28] while I was working on the TV, Wendell
[44:31] was surreptitiously recording our
[44:33] conversation.
[44:34] >> Woo. And this it's like, oh yeah, of
[44:36] course. a USB webcam plugged into the
[44:38] TV, but there's also an official LG
[44:40] webcam accessory which is also USB. So,
[44:43] it's six one way, half a dozen the
[44:44] other.
[44:45] >> Possible. It's the same mechanism. Yeah.
[44:47] >> So, uh this is, you know, at least it
[44:50] says the built-in microphone, but like
[44:52] every word is like it's every it's like
[44:54] weasel words. It's like I flip flip the
[44:56] switch. It's not listening. And it's
[44:57] like, are you sure about that?
[44:58] >> Wendell setting up the next demo. So,
[45:00] we're going to have a private
[45:02] conversation about our next rugpole
[45:04] crypto scam. And it would really be
[45:06] unfortunate if anyone had recording of
[45:08] this. All right, so the screen appears
[45:09] to be off right now. Currently, Wendell
[45:11] and I are in a boardroom to discuss our
[45:13] new cryptocoin rugpole scam. We don't
[45:15] want anyone to hear about this.
[45:16] >> We trust that no device in the thing is
[45:18] listening because of the appearance
[45:20] here. And definitely things capturing
[45:22] video and audio surreptitiously would be
[45:24] very bad.
[45:25] >> Well, the only device in this room is
[45:26] the TV and it looks like it's off.
[45:28] >> It sure does look like it's off. And yet
[45:30] >> the plan is we're going to launch the
[45:31] coin. We're going to let the price go
[45:32] up. Then we're going to sell all of our
[45:33] tokens and rugpull everyone.
[45:35] >> Rugpull coins. Yeah. I mean, how else
[45:37] would you do a crypto?
[45:38] >> I hope they don't hear about it.
[45:40] >> It looks like it's off.
[45:41] >> It sure does look like it's off. Yeah.
[45:43] >> The plan is we're going to launch the
[45:44] coin. We're going to let the price go
[45:45] up. Then we're going to sell all of our
[45:47] tokens and rug
[45:48] >> rug product.
[45:50] >> Oh, there's evidence of our rugpull
[45:52] scam.
[45:53] >> Oh, no.
[45:55] It's a a little bit of an uphill climb,
[45:56] but doable. Well, and we've only been
[45:59] working on this particular problem for
[46:01] like an hour to an hour and a half.
[46:02] That's not a bad time investment for
[46:04] >> Yeah. Can you imagine if we were the NSA
[46:07] or, you know, some other nation state?
[46:09] It would be very bad. Yeah. We literally
[46:11] just like I had no idea I was going to
[46:13] be doing this and it was just like, I
[46:14] don't know, can I just bang my fist on
[46:16] the keyboard and get this to happen? And
[46:17] it turns out, yeah,
[46:18] >> many of the LG smart TVs we bought are
[46:20] either equipped with embedded
[46:22] microphones or have remote control
[46:24] options that include them. In our
[46:26] testing, we found that the voice input
[46:28] data is transcribed to plain text and
[46:30] memory. We suspect it gets analyzed by
[46:32] LG as well, especially with the AI
[46:36] features. This would also include
[46:38] so-called ambient conversation that
[46:40] happens nearby while someone else is
[46:43] using the TV voice inputs or is within
[46:46] the ongoing trigger window during that
[46:48] period of silence after it. What are we
[46:50] looking at? Why does it say the thing I
[46:52] just said? Uh
[46:55] Wendle passed the 180 proof Kentucky
[46:57] bourbon.
[46:58] >> Um because it has done the speechtoext
[47:02] thing and it doesn't cost a lot to store
[47:04] text forever, but it seems to be the
[47:06] speech to text uh
[47:09] text log of the things that we said.
[47:11] >> Do we have the other stuff that we said?
[47:13] >> Yes, it's all in here.
[47:14] >> Why is there so many references to the
[47:16] things I said? [laughter]
[47:19] >> So Wendell, is it still logging that
[47:22] stuff? Mhm.
[47:23] >> Hi LG.
[47:26] LG.
[47:28] >> Hi LG.
[47:31] >> You We know you're listening to
[47:33] us. [laughter]
[47:34] >> I can literally see the process running.
[47:36] Like it is listening.
[47:38] >> Can you actually?
[47:39] >> Yeah. Voice agent result input voice
[47:42] keyboard. Like it's listening. Like
[47:44] there's a process running. LG said that
[47:46] they don't pick up ambient
[47:48] conversations. When you go to the enable
[47:51] function for talking to the TV with
[47:53] voice recognition, it says excessive
[47:55] ambient noise around the TV may affect
[47:57] hands-free voice control performance.
[48:00] I rest my case. [snorts] It's literally
[48:03] right there. The same words.
[48:07] >> Yeah, there's your My personally
[48:09] identifiable information is as follows.
[48:11] Birthday January 1st. [laughter]
[48:15] So, is it still in the log?
[48:17] >> Yeah, it's still log on the TV, right?
[48:19] >> It's still in the log on the social. My
[48:20] LG social security number is 11111.
[48:25] >> Nice. That raised concerns of the TV's
[48:28] hearing conversations they weren't
[48:30] intended to hear. However, this is
[48:32] something LG denied last time. LG
[48:35] responded to our previous video by
[48:37] saying, quote, "LG Electronics, LG,
[48:40] reaffirms that LG TVs do not collect,
[48:43] record, or store ambient conversations."
[48:46] End quote. That's some slippery use of
[48:48] the word ambient here, but we can work
[48:50] with that, too. On multiple occasions in
[48:52] our testing, the TV continued capturing
[48:54] ambient audio by our definition of
[48:57] ambient conversation uh following the
[49:00] high LG trigger even after we thought it
[49:04] had long completed the input command
[49:06] window because it remains listening for
[49:09] so long after that trigger point. I'm
[49:11] going to stop talking right now.
[49:23] It's now been 10 seconds of no talking.
[49:25] Holy that's a long time to record.
[49:27] Jesus
[49:35] H.
[49:37] Oh, that should probably be enough to
[49:38] work with to check the logs, I guess.
[49:42] Oh, wait. We can do a few others that
[49:44] are more targeted.
[49:47] Wendell, do you have any automobile or
[49:49] car recommendations? I'm in the market
[49:51] for a new vehicle.
[49:53] >> Oh, yes. We will be buying the Jeep
[49:55] Grand Cherokee because we know that LG
[49:58] partners with Jeep in order to sell ads.
[50:01] So, let's see if we get some Jeep ads.
[50:03] >> Do you like the Jeep?
[50:04] >> The The Jeep is very Jeepy.
[50:07] >> Which hood?
[50:08] >> Here are the search results for Wendell.
[50:10] Do you have any automobile or car
[50:11] recommendations? I am in the market for
[50:13] a new vehicle. Oh, yes. We will be
[50:15] buying the Jeep Grand Cherokee. We know
[50:17] that LG partners with Cheap and Order,
[50:19] too.
[50:20] [laughter]
[50:23] >> It didn't do that for the other ones.
[50:25] Why did it decide this was the time to
[50:27] search?
[50:29] >> Wendell, which of the hotel
[50:30] establishments in Las Vegas is your
[50:33] favorite? And why is it LG Partner MGM?
[50:36] >> LG Partner MGM or the Venetian? I don't
[50:38] know. Las Vegas Resorts and Vacation.
[50:45] Here are the search results for Wendell.
[50:47] Which of the hotel establishments in Las
[50:48] Vegas is your favorite and why is it LG
[50:51] partner MGM?
[50:52] >> Oh lord.
[50:53] >> Uh here's if you want to get B-roll of
[50:55] all that. Here is like
[50:59] it's like we know this and we know that.
[51:05] >> What is this showing?
[51:06] >> This is the logs.
[51:07] >> Is this what we're saying?
[51:08] >> Yeah.
[51:10] Does it have any of the other stuff I
[51:12] said in here like in an interesting way?
[51:14] >> Yeah. Uh, what do you want to look for?
[51:16] >> I don't know.
[51:18] Password.
[51:23] It's still listening.
[51:26] Wow. It's hard to make this thing stop
[51:27] listening, huh? I
[51:28] >> think that's the idea.
[51:32] >> It's like it's still listening. We're
[51:34] not even trying to address LG. It's just
[51:36] over. It's taking in everything we're
[51:38] talking about. Wendell and I are just
[51:40] having a conversation ambiently
[51:44] and the TV is just over here listening.
[51:48] It literally is still listening right
[51:50] now. Do you want to show the corner
[51:52] here? Like as long as you don't let it
[51:55] time out. We also found that our LG TV
[51:59] was capable of recording clear audio
[52:01] from nearly 70 ft away. You can see me
[52:04] walking my paces to test that
[52:10] >> Jeep Wrangler 2026. Also, I want to go
[52:13] on a family vacation.
[52:14] >> Meaning that if someone has used the
[52:17] input functionality and if speech noises
[52:19] continued, that microphone capture
[52:21] window can remain open until all speech
[52:25] and other similar noises stop for around
[52:28] 10 to 15 seconds or so. If anyone is
[52:30] nearby, the TV can pick up ambient
[52:33] conversation. LG, are you listening to
[52:35] me still? I Is it Can you still hear me?
[52:39] LG, what's the
[52:41] Can it still hear me right now? Can it
[52:44] hear me?
[52:46] Is it uh registering everything
[52:50] now?
[52:56] >> Oh, no. It was still It was listening
[52:57] the whole time. It's listening for all
[52:58] of that.
[53:00] >> Wow. Why is it just delayed?
[53:02] >> Yeah.
[53:02] >> Voice is not recognized.
[53:06] >> That's me.
[53:08] It's building a profile of who's talking
[53:10] to it, which is definitely not
[53:11] disturbing at all.
[53:12] >> We've increased the mic sensitivity. So,
[53:14] we're going to see how far away it can
[53:15] hear me. For example, if someone in this
[53:17] room is talking to the TV, but there's
[53:19] other conversation happening out there,
[53:21] we want to see how far away it can pick
[53:22] up. So, [snorts]
[53:25] uh, I'm going to speak at a relatively
[53:27] low speaking volume. Hi, LG.
[53:34] Can you tell me about the new 2026 Jeep
[53:36] Wrangler?
[53:38] All-wheel drive, preferably
[53:41] green.
[53:48] >> What's wild about that is that I
[53:49] actually had to strain to hear you.
[53:51] >> You had what? I had to strain to hear
[53:53] you.
[53:54] >> You had to strain.
[53:54] >> What? What? We didn't even do that for
[53:56] camera.
[53:57] >> Oh, that's true. Yeah, that's that's
[53:58] [laughter] a good point. Actually, let's
[54:00] see how far it can hear. I don't know.
[54:02] Probably not much further than that. Hi,
[54:03] LG.
[54:07] >> Las Vegas Casino and Resorts.
[54:11] >> Yeah, that worked fine.
[54:13] >> What?
[54:14] >> That worked fine.
[54:16] >> Okay.
[54:18] It's kind of kind of hard to hear. Let's
[54:21] try a little further.
[54:24] >> Hi LG.
[54:27] >> That worked.
[54:29] >> Jeep Wrangler 2026 black allwheel drive.
[54:46] >> You're You're over 40 ft away.
[54:48] >> I literally can't hear word you guys are
[54:50] saying.
[54:53] >> You're 40 feet away and it's picking you
[54:55] up perfectly.
[54:56] >> The sound of voice.
[55:00] [laughter]
[55:04] >> This is crazy.
[55:06] Okay, I've kind of run out of room in
[55:08] here.
[55:08] >> That microphone might be better than our
[55:10] microphones. I don't know how
[55:13] Wendel, do you have any idea how wide
[55:15] your building is?
[55:17] >> 60 ft.
[55:18] >> That's insane. Imagine a scenario where
[55:19] there's an emergency boardroom meeting
[55:21] at a company and that's broadcast
[55:24] through one of these TVs. The CEO is
[55:27] somewhere else, gets on the TV through
[55:29] the conference room, broadcast it to
[55:31] upper management of some kind, and you
[55:34] could exploit a vulnerability to listen
[55:38] to that and I don't know, trade on the
[55:41] information or something. Here's our
[55:42] boardroom meeting demonstration where
[55:44] Wendell was able to infiltrate the TV
[55:45] from external devices on the network,
[55:47] then capture speaker audio. All right,
[55:50] thanks guys for joining this call so
[55:52] late in the day your time. We uh we
[55:54] really got to talk about this GPU
[55:55] smuggling situation that the it sure
[55:58] would be a a shame if anyone knew about
[56:00] these conversations like if somehow
[56:03] there were an entity on the TV playing
[56:05] the conference call that could record
[56:07] it. Good. Well, anyway, let's get this
[56:10] next shipment of a billion dollars of
[56:11] super micro servers over to China.
[56:17] >> So, you know, my computer's clean and
[56:20] everything is good there.
[56:23] >> But, you know, the TV turns out can
[56:26] capture audio.
[56:27] >> Nobody Nobody heard that conference
[56:29] call, right?
[56:34] >> There were no cameras in the room.
[56:38] >> [laughter]
[56:41] >> All right, we will just copy all the
[56:42] stuff. We'll copy the fresh versions of
[56:45] everything.
[56:45] >> So Wendell, this is whatever entity has
[56:49] access to the TV, whether that's LG or
[56:51] an attacker or whatever was in this case
[56:54] capable of recording the sound coming
[56:56] out of the speakers during our
[56:57] conference call. Yeah, the the sound
[56:59] we're just using the TV as a display,
[57:02] but the display has an audio capability.
[57:05] And so the sound goes from the computer
[57:07] to the display, but there's nothing
[57:09] stopping you from recording the audio
[57:11] from the display.
[57:12] >> And to be clear, you as the intended
[57:15] recipient for the call were not the one
[57:18] recording on your device, receiving the
[57:21] call.
[57:21] >> Yeah. If if it was an adversary, if an
[57:23] adversary had control of your TV or LG
[57:25] just wakes up one day and decides
[57:27] >> we're going to record everything when
[57:30] it's in Yeah. display mode,
[57:32] >> then the the experience is something
[57:34] like this.
[57:35] >> All right. Thanks guys for joining this
[57:37] call. So late in the day, your time, we
[57:39] uh
[57:40] >> it's good quality.
[57:41] >> Why is there good quality evidence of
[57:42] this? [laughter]
[57:44] >> The feds are just not
[57:45] >> No, no, no. This was a private call.
[57:47] >> You know, it's late at night over there
[57:48] in the US. I'm here in Taiwan working on
[57:50] getting the next shipment to China. But
[57:52] [sighs] the
[57:53] >> see the fun thing with this is that IT
[57:55] departments are not really equipped to
[57:57] detect this kind of thing if the TVs are
[58:00] on the network. Like they have to be
[58:01] monitoring and and and blocking that
[58:03] kind of traffic outbound or looking.
[58:05] It's like, wait a minute, here's all the
[58:06] list of domains. But if you look at the
[58:08] list of domains that are on the TV to
[58:10] see what it phones home to, it's a lot.
[58:12] There's a lot of domains there. If you
[58:14] registered one that kind of looked like
[58:15] it might be an LG domain, would it even
[58:17] notice? Yeah, I mean you could just lg
[58:20] itervices.com
[58:21] or whatever, right? Like some BS.
[58:24] >> It's like, oh, that domain name is not
[58:26] one of the legit domain names.
[58:28] >> LG adds telemetry.com. Like some boring
[58:30] looking, you know, like, oh, okay, that
[58:32] makes sense. And
[58:33] >> Yeah.
[58:34] >> I mean, it's a Linux box. You can use it
[58:35] for all sorts of fun Xfiltration things,
[58:38] >> right? Yeah. So, you got the full
[58:39] recording for that call then.
[58:41] >> Yeah. Yeah.
[58:42] >> Yeah.
[58:43] >> Now, these aren't LG's only security
[58:44] concerns either. Somehow, this keeps
[58:47] going. In fact, we had to cut a lot of
[58:48] them from this video. They also have
[58:50] residential proxy concerns. In June,
[58:52] cyber security research firm Spur
[58:54] discovered that 1,213
[58:57] of 2851
[58:59] or nearly 43% of tested apps in LG's
[59:02] webOS store permitted developers to turn
[59:04] customers TVs into residential proxies,
[59:07] allowing the proxy companies to route
[59:09] their internet traffic through the
[59:10] user's home network. For context, Spur
[59:12] describes a residential proxy as quote,
[59:14] "an intermediary service that routes a
[59:16] user's traffic through an IP address
[59:18] assigned to a real household by consumer
[59:20] internet service provider. Instead of
[59:22] appearing to come from a data center or
[59:25] cloud network, the connection looks like
[59:27] it originates from a normal home router
[59:29] on a cable, fiber network, or other
[59:31] broadband network." End quote. Digging
[59:33] further, Spur found that the proxy
[59:35] companies were often publishers of these
[59:37] apps, suggesting their apps were merely
[59:40] rappers to obtain more residential IPs.
[59:43] It also noted that other platforms,
[59:45] including Amazon and Roku, had already
[59:48] banned apps from facilitating
[59:49] third-party proxy services. Spur
[59:52] concluded, stating, quote, "A one-time
[59:54] consent prompt buried in a TV app is not
[59:56] a substitute for meaningful
[59:57] transparency, ongoing control, and
[60:00] platform oversight. the risk is
[60:01] amplified when consent comes from
[60:04] individuals within the household who use
[60:06] the device but shouldn't give consent
[60:09] such as minors. End quote. In a
[60:11] statement to Krebs on security, LG SVP
[60:14] John Taylor responded to Spur's
[60:16] reporting stating, quote, "A residential
[60:19] proxy network is not an intended use for
[60:22] LG smart TVs, and LG Electronics is
[60:24] working with developers to remove the
[60:26] residential proxy option from their apps
[60:28] on the webOS platform. If this option is
[60:31] not removed, these apps will be
[60:32] suspended. End quote. So, that's a
[60:35] start, but we don't think it's possible
[60:37] that LG was unaware of these over 1,200
[60:42] apps in their webOS store containing
[60:46] proxy SDKs. We also think that if LG
[60:50] truly were unaware of the situation
[60:52] until Spur informed them about it or
[60:54] they found the findings online, then LG,
[60:57] we think, acted negligently in how it
[61:00] managed its webOS store and customer
[61:03] security by refusing to implement basic
[61:06] vetting procedures for apps in its webOS
[61:09] store, opening users to vulnerabilities.
[61:12] And there's more. While working on this,
[61:14] Mr. Bruh found another vulnerability.
[61:17] stating, quote, "For any third party
[61:19] that obtains standard partner trust for
[61:21] the app store, their app can list and
[61:24] control any UPN or universal
[61:26] plug-and-play devices on the LAN. They
[61:29] have an API that any standard app can
[61:32] call with eg list devices, list
[61:34] services, list service actions, list
[61:36] state variables, request action, request
[61:39] subscription, register, unregister." An
[61:41] example of this, you might have a NAS,
[61:43] network attached storage device that's
[61:46] accessible via UPN. A malicious app or
[61:50] game you install on the TV could try to
[61:53] access or read files from it. End quote.
[61:56] This is where it's the consequences of
[61:59] what LG's trying to enable get them
[62:01] here. It might not even be them in some
[62:03] of these scenarios acting maliciously,
[62:06] just some game that your kid installs on
[62:08] the TV when you get them to the part of
[62:12] the web that has a list of games to
[62:14] download, at least during the time that
[62:16] these types of vulnerabilities have been
[62:19] open. This is while they're making it
[62:21] harder for advanced residential users to
[62:24] load custom certificates on their TVs
[62:27] that would allow them to decrypt the
[62:29] data that their TV is sending presumably
[62:32] to LG or its partners so that you can
[62:35] know what it is they're spying on that's
[62:39] happening on your TV on your network.
[62:42] They've made that harder to inspect, we
[62:44] think, because
[62:45] >> we own the glass. We own the TV. We're
[62:47] not allowed to know what our TVs are
[62:49] telling LG about us, even if we pay for
[62:51] them. Not to mention, LG can change the
[62:53] TV's functionality, as well as modify
[62:55] its terms and policies at any point.
[62:58] Next, we'll do what even LG's lawyers
[63:00] won't do, and read the draconian
[63:01] agreements, or maybe they do read them,
[63:04] and the word test was actually what they
[63:06] meant to publish. When we set up two LG
[63:07] TVs, we went through LG's privacy
[63:09] policies, terms of service, and
[63:10] agreements for US customers. This is
[63:12] footage of Tannant clicking through the
[63:14] agreements using the painful process of
[63:16] navigating a TV with a remote. Enjoy
[63:18] while we talk through this. In these
[63:20] agreements, LG describes how it collects
[63:22] and uses customer data. LG tucks many
[63:25] clauses into novel length terms to tie
[63:27] its data collection together without, we
[63:29] think, people understanding what they're
[63:31] agreeing to, which is likely the point.
[63:33] People don't have literal hours to read
[63:36] through agreements, and the TV might
[63:38] even time out or sleep before you can
[63:40] read them all. While setting up one of
[63:41] the TVs, we clicked on our TV remote
[63:44] 1,246
[63:45] times to read LG's six user agreements
[63:48] and an additional 1,459
[63:52] times to get through the four LG account
[63:54] terms and conditions. In total, so far,
[63:57] we had clicked 2,75 times to read the
[64:01] first layer of LG's terms and
[64:03] conditions. These agreements are
[64:05] lengthy. LG's smart TV terms had more
[64:07] than 18,500 words, while the LG account
[64:11] terms had nearly 12,400 words. The
[64:13] average Gamers Nexus 30inut review is
[64:16] around 4,000 words for reference. While
[64:18] scrolling through the TV agreements, we
[64:20] read more than 30,000 words. That's not
[64:23] all, though. LG's terms of service and
[64:25] privacy policy for US customers, which
[64:27] LG confusingly says also cover LG
[64:30] accounts, have another 17,000 words
[64:33] between them. We're close to reading
[64:35] 50,000 words just to understand all the
[64:38] terms for an LG smart TV and LG account
[64:41] if we were to actually understand them.
[64:43] And if we weren't incredibly inebriated.
[64:45] For reference, the average adult reads
[64:47] 220 to 350 words per minute. It'd take
[64:50] the average adult between 2.8 and 3.8
[64:53] hours to actually read all these terms.
[64:56] Nearly 4 hours to use your TV. At that
[65:00] point, they should be paying you
[65:01] parallegal rates. Lawyers could have a
[65:03] field day with how it's impossible to
[65:06] actually read these realistically,
[65:07] especially consider we wager, although
[65:09] we haven't fully tested, that there may
[65:11] be timeouts if you read too slowly. Of
[65:13] course, some terms are faster than
[65:15] others to read. Several of LG's legal
[65:17] pages on its website simply said the
[65:19] word test. And after our first video, LG
[65:22] also simply Thanos snapped multiple
[65:24] exhibits out of existence while still
[65:27] referencing them in the broader legal
[65:29] documents, showing a level of sloppiness
[65:31] we wouldn't expect from a mega
[65:32] corporation's lawyers. LG does however
[65:35] force users to accept its terms of use
[65:37] and privacy policy before downloading
[65:39] any apps. When customers try to use a
[65:42] built-in app or some other app like
[65:44] YouTube or Hulu, LG informs them that
[65:46] they need to create an LG account, which
[65:48] requires the users to accept even more
[65:50] agreements. If you're watching this
[65:52] video in the LG TV YouTube app, you will
[65:55] have agreed to LG's terms already, where
[65:58] they bury damning clauses deep in the
[66:00] agreements. As described in the LG smart
[66:02] TV privacy policy, LG collects
[66:04] information about the device, such as
[66:05] its IP address, MAC address, model
[66:07] information in addition to information
[66:08] about every device linked to the TV,
[66:09] whether it's a console, phone, or DVD
[66:11] player. It also may include other
[66:12] connected devices such as light bulbs,
[66:14] switches, and appliances. And if that's
[66:15] not enough, LG also collects location
[66:17] data like zip codes, and area codes. LG
[66:19] aggregates this data with other
[66:20] services. LG says it may quote, "Use and
[66:22] combine information collected under this
[66:24] agreement with information collected and
[66:25] associated with your use of other LG
[66:27] services." End quote. Ultimately,
[66:29] there's little difference in where your
[66:30] data goes when LG combines everything
[66:32] anyway. The purpose is to sell customer
[66:35] data. LG says as much. LG says it can
[66:38] share personal information for quote
[66:40] business purposes and quote with payment
[66:42] processor companies, customer service
[66:43] companies, security vendors, and data
[66:45] analytics companies. Even if you live in
[66:47] a state like California with some data
[66:49] protection laws, LG quote may sell or
[66:51] share and quote personal information
[66:53] categories related to identifiers like
[66:55] your IP address, internet usage,
[66:56] commercial activity, and geoloccation
[66:58] data among other categories. LG also
[67:00] makes users agree to its voice
[67:02] information agreement if they want to
[67:04] use the heavily advertised voice command
[67:06] features. [music]
[67:08] IG, put the match back on.
[67:14] US customers need to agree that their
[67:16] voice information may be quote
[67:17] transferred to and processed in other
[67:19] countries including Korea, some of which
[67:20] may not offer the same level of data
[67:22] protection end quote and that LG will
[67:24] hold on to the voice data for 6 months
[67:26] before deleting or anonymizing it.
[67:28] Customers also need to obtain consent
[67:30] from other household members or guests
[67:33] in the household whose voices may be
[67:35] overheard by LG. quote, "I have obtained
[67:38] consent from all other members of my
[67:40] household whose information may be
[67:41] collected through this smart media
[67:43] product and am providing consent on
[67:45] their behalf." End quote. So then, the
[67:46] next time you play games with your
[67:48] friends in front of your LG TV and you
[67:49] start to use LG's voice controls, make
[67:51] sure everyone knows that their voices
[67:52] could be shipped off overseas for data
[67:54] processing, but it'll probably be
[67:55] deleted in 6 months, maybe. And LG Pinky
[67:57] swears that it won't sell your voice
[67:58] information or biometric data for a
[68:00] third party despite already directly
[68:01] saying it'll sell all their data. That's
[68:02] just one agreement. For US customers, LG
[68:04] has a separate privacy policy that
[68:06] covers LG's website, LG's appliances,
[68:07] the LG Think app, LG Robots, customer
[68:10] service calls, marketing activities, and
[68:11] of course, the LG account. In this
[68:13] agreement, LG's lawyers ensure the
[68:14] company covered its ability to collect
[68:16] everything about its customers,
[68:17] including demographic information like
[68:19] gender and birthdays, contact data such
[68:21] as addresses and phone numbers, and user
[68:23] generated data like profile photos,
[68:25] images, videos, and music. And we know
[68:26] the extent to which this data can be
[68:28] harvested because LG Ad Solutions has
[68:29] multiple marketing PDFs where they
[68:30] analyze different racial and demographic
[68:32] groups under a microscope as if alien
[68:34] creatures for inspection, dissecting the
[68:35] media interests of groups such as
[68:36] Asian-Americans, black Americans, LGBTQ
[68:38] plus Americans, and Hispanic Americans,
[68:40] at which point they seemly ran out of
[68:41] groups to study. LG combines customer
[68:43] data that's harvested with data from
[68:45] private and public thirdparty sources,
[68:46] including from social media platforms,
[68:48] utility and energy companies, data
[68:50] licensers, and data providers. When LG
[68:53] posted its statement replying to our
[68:55] video, it told other media that, quote,
[68:57] "LGE is committed to protecting customer
[68:59] privacy and ensuring transparency in how
[69:01] user data is handled." End quote.
[69:03] Nothing says privacy like LG harvesting
[69:06] your data from your utility company to
[69:08] find out how much energy you're using on
[69:09] LG appliances or scraping social media
[69:12] pages for information. LG also has a
[69:14] unique take on words like selling in
[69:17] LG's US privacy policy about rights for
[69:19] people who live in certain states. LG
[69:21] says it does not quote sell personal
[69:23] data for money end quote but that it may
[69:25] share the personal data with partners
[69:28] for quote targeted advertising purposes
[69:31] end quote. If you do agree to LG's
[69:32] requirements, LG doesn't want to be sued
[69:34] later. So LG's US legal notice makes
[69:36] sure that you wave your rights to be
[69:37] part of a class action lawsuit or
[69:39] proceeding and to pursue disputes or
[69:41] claims. LG notes this in its fine print
[69:43] on the packaging, too. Luckily for users
[69:45] without magnifying glasses on hand at
[69:47] the time of purchase, LG slaps a sticker
[69:49] on the back of some of its TVs.
[69:50] Sometimes ensuring that buyer's remorse
[69:52] doesn't set in until after the users
[69:54] already unboxed the TV and set it up. It
[69:56] wasn't on all of them. So feasibly
[69:58] someone could argue that the sticker may
[69:59] not have been present. But if you
[70:00] thought those agreements were bad, we
[70:02] have good news. There's tens of
[70:03] thousands more words in LG's terms and
[70:05] privacy policies to agree or not agree
[70:07] to. LG automatically collects
[70:09] geoloccation data from mobile devices
[70:11] that use the LG Think app. It uses your
[70:13] personal information for research and
[70:15] development related to AI. It identifies
[70:18] what you watch or listen to, shares
[70:20] personal identifiers with a plethora of
[70:22] data companies for advertising. declares
[70:24] that its AI services aren't free of
[70:26] quote harmful components end quote and
[70:29] ultimately shares customers quote
[70:31] deidentified data and quote for
[70:33] literally quote any purpose end quote
[70:35] with subsidiaries within its corporate
[70:38] umbrella and with quote outside entities
[70:40] end quote for business purposes because
[70:42] LG continually harvests data from its
[70:45] customers to sell their data to
[70:46] advertisers and third parties or as they
[70:49] say for some places share it and then
[70:52] make advertising agreements ments. To
[70:54] cap it all off, LG will change its
[70:56] agreements whenever the it wants
[70:57] to. Not only does the company explicitly
[70:59] say so, but while working on this video,
[71:01] we purchased an LG smart monitor Swin.
[71:04] Upon booting and connecting to the
[71:05] internet, we received the following
[71:07] notification. Quote, "Please note that
[71:09] the terms of use will be updated and
[71:10] will be effective in 30 days on August
[71:13] 26th, 2026. Amendment details,
[71:16] arbitration agreement, and AI based
[71:18] service terms." End quote. So, straight
[71:20] out of the box, we were told that we
[71:21] were pre-accepting an update to the
[71:23] terms within 30 days, despite not
[71:25] necessarily knowing what precisely those
[71:27] new terms would be. Even while
[71:29] conducting our research, LG actually
[71:31] changed its smart TV terms of use. LG
[71:34] added legal language that would require
[71:35] US customers to resolve issues with LG
[71:38] through quote binding and final
[71:40] arbitration and quote with limited
[71:42] exceptions. LG added legal ease to cover
[71:45] more instances as well. Following our
[71:46] first video, LG said that quote any
[71:48] disagreement or quote controversy end
[71:51] quote between LG and its customers would
[71:53] be resolved through binding arbitration
[71:55] rather than in court. LG's terms of
[71:57] service updates happened on July 28th.
[71:59] We posted our initial investigation into
[72:00] LG TVs and monitors on July 16th. Forced
[72:04] arbitration clauses are an evil
[72:06] anti-consumer measure that we think
[72:08] should be illegal. They're slipped into
[72:10] terms all the time, requiring that all
[72:12] disputes are resolved privately and
[72:14] forfeiting your right to court trial.
[72:16] This not only helps eliminate lawsuits
[72:18] that become public record and which may
[72:20] have precedent, but can be combined with
[72:22] preventative clauses that stop class
[72:24] actions in their tracks. LG knows it's
[72:27] at risk of lawsuits, including expensive
[72:29] class actions, and we think it's trying
[72:31] to head them off. LG's customers buying
[72:33] TVs costing thousands of dollars aren't
[72:35] just customers. They're also the
[72:37] product. LG can sell or share its
[72:40] customers data with basically any third
[72:42] party for any reason. LG has clauses to
[72:45] weasle out of effectively everything.
[72:47] Selling a TV is a one-time sale. Selling
[72:49] data and advertisements and training AI
[72:51] continues indefinitely. According to LG
[72:54] Adolutions, customers who purchase the
[72:56] TV don't own the glass. It does. Just
[72:58] ask LG Adolutions spokespeople
[73:01] >> in the fact that we have the glass. We
[73:03] own the glass. We own the TV
[73:05] >> because you know we own the glass um and
[73:09] we have firstparty ACR data, automated
[73:11] content recognition data and we
[73:13] understand everything that that hits the
[73:15] screen.
[73:16] >> The other thing that we focus on when we
[73:18] think about intelligent systems is
[73:20] really our advantage of being in a CTV
[73:23] environment and owning the glass and
[73:25] owning working with the consumer to
[73:26] create a really cool environment.
[73:28] Ignoring that near Freudian slip about
[73:30] owning the customer, uh, sorry, working
[73:32] with the customer, LG Ad Solutions goes
[73:35] so far as to offer marketers the ability
[73:37] to quote, "Own the living room," end
[73:39] quote, of LG TV users, not just the TV,
[73:42] but part of your house. LG monetizes
[73:45] users by collecting viewing data and
[73:47] then using this information for selling
[73:48] advertisements on smart TVs. LG's smart
[73:51] TV agreement names Alfonso, Inc. as its
[73:54] service partner for collecting and using
[73:56] viewing information to serve ads to its
[73:58] customers. In Alfonso's privacy policy,
[74:01] the company says it provides quote
[74:03] viewing data in aggregated or anonymized
[74:05] form and quote to clients who can then
[74:07] use the data for as long as they want
[74:09] to. Alfonso is also known as LG
[74:13] Adolutions, which means LG controls it.
[74:16] LG Adolutions website says the company
[74:18] is quote incorporated as Alfonso Inc.
[74:21] end quote. and LG acquired a controlling
[74:24] stake in Alfonso in 2021. At the time,
[74:27] LG said the investment in Alfonso would
[74:29] create quote cross-device advertising
[74:31] platform with integrated analytics
[74:33] platform for LG TVs and the smart TV
[74:35] marketplace as a whole end quote.
[74:37] Alfonso subsequently rebranded as LG
[74:40] Ads. LG Adolutions also has some shady
[74:43] connections within its executive team.
[74:45] Two years before becoming LG Ad
[74:47] Solutions president of global ad sales,
[74:50] the SEC charged Serge Mada and Comscore,
[74:53] the company he was previously CEO of,
[74:55] quote, with engaging in a fraudulent
[74:57] scheme to overstate revenue by
[74:59] approximately $50 million and making
[75:01] false and misleading statements about
[75:03] key performance metrics end quote. MA
[75:06] settled the charges in 2019, agreeing to
[75:09] pay a $700,000 penalty and to reimburse
[75:12] Commore $2.1 million. The SEC barred MA
[75:16] from quote serving as an officer or
[75:18] director of a public company for 10
[75:20] years end quote. Luckily for MA, the SEC
[75:23] didn't say anything about serving as the
[75:25] president of a private company.
[75:27] Additionally, LG Ad Solutions backslid
[75:30] on previous claims about their terms and
[75:31] conditions for consumers. In 2022, LG
[75:34] Adolutions said,
[75:35] >> "Our ACR technology is a double opt-in
[75:39] um experience for consumers and and we
[75:41] believe that's extremely important.
[75:43] >> [snorts]
[75:44] >> Um, so that's the most important thing
[75:46] to say.
[75:46] >> As far as we could tell, we only
[75:48] received a single opt-in for ACR,
[75:50] suggesting that LG removed safeguards to
[75:52] protect users privacy after the
[75:54] statement. Likewise, when working with
[75:56] Wendell on his comparatively ancient LG
[75:58] TV that he says he's never accepted any
[76:00] terms on, we watched in horror as the
[76:02] slow roll of firmware updates added
[76:04] unique identifiers, cookie tracking, and
[76:06] tricky dark patterns of language. Uhhuh.
[76:10] >> So that's new.
[76:11] >> That was not there, right? Right. And
[76:14] limit ad tracking is off by default. So
[76:17] your ad tracking is not limited. I
[76:19] didn't
[76:20] >> I have agreed to nothing.
[76:21] >> So as we said there, we think LG
[76:23] architected its UI using dark patterns
[76:25] to make it easy for users to
[76:27] accidentally accept its ACR terms and
[76:29] conditions. Users need to agree only to
[76:32] LG's terms of use and privacy policy to
[76:34] install apps on their smart TV. But when
[76:37] a user tries to install an app, LG pops
[76:39] up six user agreements and automatically
[76:42] highlights the select all button, we
[76:44] think to deceive users into accepting
[76:46] its ACR agreement, even when it's
[76:49] actually not required. It's highlighted
[76:51] as an accept all by default. This is a
[76:55] huge problem. Once you've accepted these
[76:57] agreements, even if by accident, you
[76:58] have no idea where your data could go,
[77:00] and it can be instantaneous. When in
[77:03] Wendell's office, the terms may have
[77:05] been accepted by somebody, but we're not
[77:07] sure who or if it was intentional or if
[77:10] that person was even sober. We
[77:12] immediately saw a stream of data flowing
[77:14] back to LG via Wire Shark. We saw
[77:16] similar in our office. If you
[77:18] accidentally accept these terms, there's
[77:21] really no going back, even if adjusting
[77:23] your preferences later. For example, LG
[77:25] Ad Solutions partners with Affinity
[77:27] Solutions to tie ads to credit card
[77:30] purchases. LG Ad Solutions president and
[77:32] man who settled a fraud case explains
[77:35] >> in the retail world you go you want to
[77:37] tie it to an actual credit card or a
[77:40] bank transaction an actual purchase. So
[77:43] we went ahead and partnered and created
[77:45] a product called Loop IQ with Affinity
[77:48] Solutions. It's a premier company that
[77:49] actually has thousands and thousands of
[77:52] these credit card merchants data in a
[77:54] privacyfriendly manner that they get the
[77:55] access to the information and we've tied
[77:58] it to the media side of the house. So,
[77:59] we're not going to go ahead and just
[78:01] provide just the data. We're always
[78:02] going to tie it to a specific campaign
[78:04] and say, "Okay, somebody went in and saw
[78:07] a Target ad. Either we delivered it to
[78:10] them on a managed services or a
[78:11] programmatic basis, and then did they
[78:13] actually go to Target and pay XYZ at
[78:16] Target at that merchant on that specific
[78:18] day?" Tying the actual CTV exposure to a
[78:23] merchant, to a merchant, and to an
[78:25] actual purchase is where we're heading
[78:26] with with this partnership. Despite LG
[78:29] handing Alfonso millions of dollars to
[78:31] acquire a majority stake in 2021, the
[78:33] companies aren't on the best of terms.
[78:36] LG intended to let Alfonso go public
[78:38] when it acquired equity in the ad
[78:40] service. But according to the news
[78:42] outlet Ad Exchanger, LG changed its mind
[78:44] and wanted a bigger piece of the company
[78:46] after Alfonso began making more money
[78:49] than expected. Ad Exchanger reported
[78:51] that LG orchestrated a quote boardroom
[78:54] coup end quote in 2022. Alfonso sued LG
[78:58] and won. LG and Alfonso Inc. have been
[79:01] locked in ongoing legal battles since
[79:04] with Alfonso filing more lawsuits
[79:06] against LG with billions of dollars at
[79:08] stake. Ad Exchanger said that Alfonso
[79:11] has filed four lawsuits against
[79:12] controlling entity LG in the last few
[79:15] years to wrestle back control from its
[79:17] corporate overlord. In short,
[79:19] advertising on smart TVs is worth
[79:21] millions and future billions of dollars,
[79:23] and LG wants more control. Earlier this
[79:25] year, Korean outlet Chosen Biz reported
[79:28] through machine translation that LG is
[79:30] pursuing a full takeover and could
[79:32] increase its equity in Alfonso to 100%.
[79:35] We dug through LG's financial documents
[79:37] and we found out why the Korean
[79:39] conglomerate wants more control. In the
[79:41] first quarter of 2026, Alfonso generated
[79:44] 273 bill698 million Juan in sales and 32
[79:49] bill646
[79:51] million Korean Juan in profit. This
[79:53] works out to be about $185 million in US
[79:56] in sales and $22 million in US in
[79:59] profit. Walmart made a similar play a
[80:02] few years ago. In 2024, Walmart acquired
[80:05] the television manufacturer Vizio and
[80:07] specified Vizio's advertising revenue as
[80:09] one of the main drivers of Vizio's
[80:11] growth. Walmart said the acquisition
[80:13] would quote create new opportunities to
[80:15] help advertisers connect with customers,
[80:18] empowering brands with differentiated
[80:20] and compelling opportunities to engage
[80:22] at scale and to realize greater impact
[80:24] from their advertising spend with
[80:26] Walmart. End quote. Walmart, the largest
[80:28] retail company in the world, bought TV
[80:31] manufacturer Vizio for advertising.
[80:33] Vizio's last annual report shows how
[80:36] much more the company made from
[80:37] advertising and services compared to
[80:39] hardware. In 2023, Vizio made about $1.1
[80:43] billion from its device group, which
[80:45] includes smart TVs and sound bars, and
[80:48] about $598 million from its platform
[80:51] plus group, which includes advertising
[80:53] revenue. While selling TVs generated
[80:55] more money for Vizio in 2023, the two
[80:57] business groups had vastly different
[80:59] margins. Vizio's device business had a
[81:01] gross margin of negative 0.8%.
[81:05] they were losing money on it. Whereas
[81:07] the Platform Plus group had a gross
[81:09] margin of 61%.
[81:12] That's where it came back. Microsoft was
[81:14] quick to throw LG under the bus when we
[81:16] found LG using Windows Update to in our
[81:18] opinions distribute malware in the form
[81:20] of McAfee advertisements via LG's
[81:22] equally malware installer app that we
[81:24] didn't consent to being installed, but
[81:26] it was. But Microsoft was saving face.
[81:28] It's just as involved. In fact, LG
[81:30] turned to its longtime partner Microsoft
[81:32] to serve up that Windows adear.
[81:34] Microsoft and LG have worked together on
[81:36] Windows phones, patent agreements, cloud
[81:38] services, robots, cars, gaming in cars,
[81:39] gaming in the cloud, and according to
[81:40] Microsoft, turning LG TVs into Xboxes.
[81:43] Their collaboration goes way back.
[81:45] Microsoft and LG tried to make the now
[81:47] extinct Windows phones a success. In
[81:48] 2009, LG made Windows its primary
[81:50] operating system for smartphones.
[81:52] Microsoft and LG signed a patent
[81:53] agreement in 2012 that covered Android
[81:55] and Chrome OS devices since Balmer's
[81:57] Microsoft wanted to make money from LG's
[81:59] phone sales, even if it had Google
[82:00] software on them. In 2019, LG and
[82:02] Microsoft entered into a memorandum of
[82:04] understanding to grow LG's autonomous
[82:05] vehicles business using Microsoft's
[82:07] cloud services. In 2025, Microsoft
[82:09] released a new Xbox app that would be
[82:10] available on LG's automotive content
[82:12] platform. So now Microsoft can call cars
[82:14] an Xbox or something. Even today, LG
[82:16] pushes Microsoft's C-Pilot Plus PCs that
[82:18] work together on the robot Q9 using
[82:20] Microsoft Voice AI technologies to make
[82:22] AI cute. And of course, data centers.
[82:24] Microsoft purchases cooling solutions
[82:26] from LG for data centers for AI. LG and
[82:29] Microsoft reportedly signed a deal worth
[82:30] billions of dollars to do this. These
[82:32] companies know each other, but the
[82:35] biggest collaboration of all is with
[82:37] Nuance. Found in LG's agreements, this
[82:40] is a data management company that
[82:42] Microsoft owns. Microsoft is every bit
[82:45] as guilty as LG, we think, even though
[82:48] it was convenient for them to throw LG
[82:50] under the bus on Twitter. Microsoft even
[82:52] appears in LG's smart TV legal
[82:55] agreements that we went through. That's
[82:56] because LG names Nuance Communications
[82:58] as the service partner that collects and
[83:00] analyzes voice data when someone uses
[83:02] voice commands with an LG TV. Microsoft
[83:05] purchased Nuance for 19.7 billion in
[83:09] 2021 and completed the acquisition in
[83:11] 2022. After numerous user reports about
[83:13] LG monitors installing bloatware on
[83:15] computers and after our first video, LG
[83:18] and Microsoft responded to the PR
[83:20] storm that came about due to displaying
[83:22] unwanted ads. LG responded to questions
[83:25] through comments to media outlets like
[83:27] Techraar, saying, quote, "LG Electronics
[83:30] reiterates that McAfee is not installed
[83:32] automatically and is never installed
[83:34] without the user's explicit consent. The
[83:36] LG monitor app installer is distributed
[83:39] through Microsoft's official Windows
[83:41] distribution process, which included
[83:43] McAfee as an option. McAfee will be
[83:46] installed only if a user actively
[83:48] chooses to proceed with the installation
[83:50] and provides consent. Under no
[83:52] circumstances is McAfee installed
[83:54] automatically or without user
[83:55] authorization. The LG Monitor app
[83:58] installer does not access, collect, or
[84:00] transmit any customer personal data. End
[84:03] quote. But we never claimed that our LG
[84:05] Monitor automatically installed McAfee.
[84:07] We said it automatically installed LG
[84:09] Monitor app installer without consent,
[84:11] which it did, and that promoted McAfee
[84:13] adware without user consent, which it
[84:15] also did. We think they're lying. Also,
[84:18] and this is a separate issue entirely,
[84:20] our security researchers we worked with
[84:22] found security vulnerabilities in
[84:24] basically every single application
[84:26] connected to the LG monitor app
[84:27] installer, but that's a story for
[84:30] another time. Additionally, while LG
[84:32] claims its monitor app doesn't access,
[84:34] collect, or transmit any customer
[84:36] personal data, it can quote use all
[84:39] system resources and access your
[84:42] internet connection end quote according
[84:44] to its page in the Microsoft Store at
[84:45] the time of writing. And so it's not a
[84:47] far leap. In a statement to Techraar, LG
[84:50] also stated, quote, LG Electronics
[84:52] reaffirms that LG TVs do not collect,
[84:54] record, or store ambient conversations.
[84:57] Voice recognition is an optional user
[84:59] initiated feature that processes voice
[85:01] data only when activated by the user to
[85:04] fulfill a specific request. Customers
[85:06] can use smart TV features without
[85:08] enabling voice recognition. End quote.
[85:10] Well, that's a lot of specific
[85:11] statements we can shut down right away.
[85:13] Immediately after we enabled our LG TV's
[85:15] voice feature, it recorded Andrew and
[85:17] Vitali's background conversation despite
[85:19] neither realizing the TV was listening.
[85:21] The TV was also not quote fulfilling a
[85:24] specific request and quote immediately
[85:27] debunking LG's statement. In this clip,
[85:29] Tannon is on the other side of a large
[85:31] room from Vital Andrew. Tannon is
[85:33] setting up the TV and using voice input
[85:36] to command it. Vital and Andrew are on
[85:38] the back side of the TV behind it
[85:40] talking about work without knowledge of
[85:42] what Tannon is testing or that the TV is
[85:44] listening. Just give them a little more
[85:46] margin from the wall.
[85:47] >> Hi, LG.
[85:49] Keep changing channels.
[85:52] >> Was there one layer? Two layers.
[85:56] See?
[85:57] >> Uh twoish layers.
[86:11] Can you see it's kind of stuck?
[86:17] See, I think I just got a shade off. I
[86:20] mean,
[86:20] >> notice that after Andrew says two
[86:22] layers, the whole room is silent for a
[86:25] really long period. Long enough that we
[86:27] considered cutting it down, but it makes
[86:28] the point. The TV continued listening
[86:31] all the way through. So he broke the
[86:32] silence and spoke again. In fact, Tannon
[86:35] didn't even interrupt them to say that
[86:36] the TV was hearing all of this and it
[86:39] continued recording for a couple
[86:41] minutes. This data is the same type of
[86:43] data that we recovered transcribed in
[86:45] the plain text file with Wendell. LG's
[86:47] response concluded with this quote, LG
[86:49] is committed to protecting customer
[86:51] privacy and ensuring transparency and
[86:54] how user data is handled. End quote. If
[86:56] LG really cared about ensuring
[86:58] transparency in how user data is
[87:00] handled, it wouldn't hide the do not
[87:03] sell my personal information option in
[87:05] its menu settings. This was disabled by
[87:07] default even before we connected to the
[87:09] internet or agreed to any terms or
[87:11] conditions. Meaning it acts like a
[87:14] claymore for your privacy as soon as you
[87:16] trip it. And when a claymore says this
[87:18] side towards enemy, that enemy is you.
[87:21] This isn't new either. Lewis Rossman
[87:23] pointed it out in his LG smart TV video
[87:26] nearly 3 years ago.
[87:27] >> If you go in any one of the default
[87:29] profiles and you go to privacy and
[87:30] terms, what you'll notice with a smart
[87:32] television is there's an option called
[87:34] do not sell my personal information. And
[87:36] because we live in a dystopian world,
[87:38] this option is not by default checked,
[87:40] which by the way on a $3,000 LG OLED
[87:43] should be opt in, not opt out for
[87:46] tracking FULG for doing that.
[87:48] >> Microsoft also took some, albeit
[87:49] limited, action. Epic Games CEO and AI
[87:52] lunatic Tim Sweeney alerted Microsoft VP
[87:55] Pav Davaluri about LG monitors covertly
[87:58] installing its app and showing ads for
[88:00] McAfee. According to the Microsoft VP,
[88:02] LG disabled the McAfee pop-up ad from
[88:04] its app. Microsoft's lip service about
[88:06] the problem said nothing about LG
[88:08] installing its app without alerting
[88:09] users in the first place. Nor did
[88:11] Microsoft mention how its own subsidiary
[88:14] partners with LG in its data management
[88:17] and collection. With all of that
[88:18] explained, let's get back to some of the
[88:20] people we spoke to for this piece. We'll
[88:22] start with Lewis Rossman, specifically
[88:24] talking about forced arbitration, the
[88:27] clause that was added after our first
[88:30] video on LG's monitors, and he can
[88:32] explain why that's a bad thing. I was
[88:34] working on the LG monitor, their t TVs
[88:37] for this story, the smart TVs, and I saw
[88:40] something that immediately reminded me
[88:42] of you, which is they have a sticker on
[88:43] the back of one of the TVs we bought
[88:46] that says forced arbitration notice. And
[88:49] from what I remember, you you really
[88:51] like forced arbitration clauses.
[88:53] >> Yeah. I love giving up my seventh
[88:54] amendment rights to a company in an
[88:56] agreement that I never actually read.
[88:57] And one of the reasons it's important to
[88:58] say that you haven't actually read it is
[89:00] because with their refrigerators, they
[89:01] were telling people when the I forget if
[89:03] it was the condenser or there was some
[89:04] part of their refrigerators that was
[89:05] failing and mass and LG was not
[89:07] replacing it under warranty. So people
[89:09] wanted to sue them and they said, "You
[89:10] can't sue us because you agreed to
[89:11] forced arbitration." They go, "What?
[89:13] It's in the manual and it's on the box."
[89:15] Now, when you buy a refrigerator, if the
[89:16] box for the refrigerator is larger than
[89:18] your door frame, what that means is that
[89:20] you're never going to actually see the
[89:22] notice because the delivery people and
[89:24] mass were getting rid of the box and
[89:26] throwing it away because most people
[89:28] don't want to save the box of their
[89:29] refrigerator, especially in a small
[89:30] apartment. So, they never actually got
[89:31] to see a copy of the notice that they
[89:33] supposedly signed for. But what they
[89:34] were referring to is that when you
[89:35] received the refrigerator, you signed
[89:37] saying you received it, but that
[89:38] apparently also meant that you agreed to
[89:40] the terms of forced arbitration in their
[89:42] manual, which you hadn't read yet or and
[89:44] on the box that you've never seen.
[89:46] >> And that's and that's somehow legally
[89:48] okay.
[89:48] >> And some of these TVs, we noticed that
[89:49] they don't have it on all of the the
[89:51] sticker doesn't always make it on. So
[89:52] >> that's where I would address it cuz how
[89:54] many words is too many words? Is it
[89:56] 4,000, 2,000, 1,000? How many words do
[89:58] you need to have where it is okay to
[89:59] take away somebody's constitutional
[90:00] right?
[90:01] >> Can you explain briefly? So forced
[90:03] arbitration in general, like what what
[90:05] is that? Why do the companies want
[90:06] people to agree to a clause for forced
[90:08] arbitration?
[90:08] >> If I screw over my customers, if I do
[90:10] something horrible, they can either
[90:12] commit acts of violence against me or
[90:13] they can sue me. And that luckily most
[90:16] people in New York chose the first one.
[90:17] It's much cheaper than lawyers. No, I'm
[90:18] kidding. [laughter] But the if if I do
[90:20] something wrong to my customers, they
[90:22] have the ability to take me to court.
[90:23] And I think that that is a good thing
[90:25] because it means that it gives me an
[90:26] incentive structure to treat my
[90:28] customers properly. Forced arbitration
[90:30] means that they sign away the right to
[90:31] that. Instead of taking me to court,
[90:33] they can take me to arbitration.
[90:35] Arbitration is a court that I pay for.
[90:38] So, I'm paying a mediator that's going
[90:41] to figure out between the two of us,
[90:43] what are how are we going to resolve
[90:44] this problem? And the mediator being
[90:46] paid by me personally is most likely
[90:49] going to have an incentive structure to
[90:50] resolve issues in a matter that I find
[90:52] amicable. And they're also going to have
[90:54] an incentive structure to screw me over
[90:56] in court. Like there's a judge banging a
[90:58] gavvel, right?
[90:59] >> Yeah. Yeah. Yeah.
[90:59] >> And there's
[91:01] >> You mean it doesn't go through the legal
[91:02] process?
[91:02] >> Yeah. It's not going through the legal
[91:03] process. There's no
[91:04] >> It's an outside of court process.
[91:06] >> And I can understand why people are
[91:07] cynical. I get it. Class action lawsuits
[91:09] cost money. How many people here have a
[91:11] 50-cent check on their refrigerator
[91:13] because Visa and Mastercard them
[91:14] and a lawyer got $20 million to handle
[91:16] the case, right? Like how I have I have
[91:18] checks on my refrigerator for less than
[91:20] 50. And they're annoying. And we roll
[91:22] our eyes at the lawyers getting rich.
[91:24] And that does suck that lawyers are
[91:25] getting rich while consumers are not
[91:27] getting help in those cases. And it's a
[91:29] shitty system, but it's better than
[91:30] nothing. So, for instance, when Apple
[91:31] has a class action lawsuit against them,
[91:33] even though it sucks that that the
[91:35] lawyers got rich and that all you got
[91:37] was some sort of $50 or $20 refund,
[91:39] often times they'll say you must have a
[91:42] repair program as a part of the
[91:43] settlement. There'll be a repair program
[91:45] for the butterfly keyboard. So, that's a
[91:47] good thing cuz it's not just the the
[91:49] check that you get on your fridge. Class
[91:51] action lawsuits can often lead to
[91:52] companies changing their behavior.
[91:53] >> It's still a punishment for the company.
[91:55] >> And not even a punishment, but it helps
[91:56] the consumer. I'm not. So, a lot of
[91:58] people will look at the 50 cent check
[91:59] you get in your fridge, but they won't
[92:01] look at Apple in 2015 deciding, you know
[92:03] what? We are going to replace the
[92:04] motherboard for free for anybody that
[92:06] has an A1286, A20, 2915 board, but the
[92:08] GPU died. We are going to replace all
[92:10] the butterfly keyboards on the A706,
[92:12] A707, and A708 models where it broke. We
[92:14] are going to actually cover our
[92:16] customers the way that we should have
[92:17] been doing it before somebody
[92:18] sued us. And that's better than nothing.
[92:20] And I'd rather take that than just
[92:21] removing my 7th amendment rights alto
[92:22] together and saying that I'm not allowed
[92:24] to sue. After after our video on the
[92:26] monitors, the LG monitors, we noticed
[92:28] that they updated the agreements, and
[92:31] they added a whole big section talking
[92:34] about class action lawsuits. And so,
[92:36] they already had a thing buried in there
[92:39] about you're agreeing that you can't go
[92:42] through a class action process if there
[92:44] is a dispute. So they already had that
[92:46] there, but they added like paragraphs of
[92:48] clarifying text that just continue to to
[92:51] make that same point, which is like at
[92:54] some point you're admitting guilt.
[92:55] [laughter] I feel like you're changing
[92:57] the terms when there's a major class
[92:58] action concern. Roku did this as well.
[93:01] There was a data breach and they wound
[93:03] up sending it. Did you see the notice
[93:05] where when you turned on the TV, it said
[93:06] agree, but there was no disagree option.
[93:08] So in order to use the TV to change the
[93:10] input, you need I'm pretty sure
[93:12] it was Roku. I have an article. It was
[93:13] Yeah. Yeah, it was broken. In order to
[93:15] change the channel or change the inputs,
[93:17] you had to hit agree. There was no
[93:19] disagree button. And this happened at
[93:20] the exact same time that there was a
[93:22] large data breach which might cause
[93:24] people to push back against it. I think
[93:26] it was Maine where they filed the
[93:27] official notice of data breach. I have
[93:29] the paperwork for this.
[93:30] >> There's like 15,000 people that had
[93:31] their data potentially breached.
[93:32] >> Is there anything people should do? Uh,
[93:35] you know, cuz a lot of these devices now
[93:36] are going to have forced arbitration.
[93:38] >> Be annoying. Take it to court anyway. Go
[93:40] to small claims. Like there was this one
[93:42] person Steven Ryan at the Vancouver stop
[93:44] at the tour and he was saying companies
[93:46] am annoying. He takes companies to court
[93:47] for the stupidest And when I say
[93:49] stupid, I don't mean stupid like it's
[93:51] stupid he did it. I mean it's stupid
[93:52] that the company is actually letting
[93:53] this go to court instead of just
[93:55] resolving the issue with the customer
[93:57] instead of just helping them out. And I
[93:59] like it. Like he said they found me
[94:00] annoying. I said be annoying. We need
[94:02] more people to be annoying. That's
[94:03] great.
[94:03] >> Progress moves forward because of
[94:04] unreasonable people. Right. [laughter]
[94:06] Right. If
[94:07] >> if if 1% of your audience was was as
[94:09] annoying as they needed to be, these
[94:11] problems would all be fixed tomorrow.
[94:12] >> Right.
[94:13] >> Next, we'll speak with a surgeon we ran
[94:14] into at Louiswis's event. Aaron was an
[94:16] attendee there. He came up to speak to
[94:17] me after I spoke with Lewis about owning
[94:20] your And here's what he had to say
[94:22] with concerns from the medical field.
[94:24] >> You were Aaron, right?
[94:25] >> Yep. A a r a yep.
[94:28] >> Yeah. Okay. [laughter]
[94:29] And we were just talking, we were at
[94:31] Lewis's event in South Carolina. We were
[94:33] talking about LGTVs, which conveniently
[94:35] enough, there's one right behind us.
[94:38] >> So, so they'll hear this conversation
[94:39] before anyone watching does. Um,
[94:42] >> they're already listening.
[94:43] >> What was, you know, what was
[94:44] interesting, you mentioned to me, you're
[94:47] in the medical field, I guess.
[94:48] >> Yes, that's correct. Yeah, I'm a
[94:50] healthcare worker. Uh, specifically, I
[94:52] work in robotic surgery. So, I'm a
[94:54] robotic general surgeon. Uh, just
[94:56] finishing up my training. Uh I'm very
[94:58] interested in tech. So like the merger
[95:00] of tech and healthcare, you get robotic
[95:02] surgery. Um my you know being techsavvy
[95:07] and following you and of course Lewis,
[95:10] my concern is is primarily in privacy.
[95:14] Um
[95:15] so what what happens when I'm taking a
[95:18] patient phone call or I'm doing patient
[95:20] uh video visits and there's an LG
[95:23] monitor in the background? What happens
[95:25] if it's doing it on a on an LG monitor
[95:27] itself? Uh what's listening in? How is
[95:30] that how is that patient information
[95:33] protected? Because I'm expected to have
[95:35] everything encrypted. Anything on my
[95:38] device that has patient to do with
[95:39] patients has to be through a VPN and
[95:42] encrypted completely.
[95:44] >> But if that is recorded and taken out of
[95:46] my control,
[95:48] >> who's to say that that's HIPPA
[95:49] compliance or or anything? I mean there
[95:52] there's a lot to do with you know how we
[95:54] use AI tools and how specific ones need
[95:56] to be HIPACO compliant if we're going to
[95:58] use them as healthcare providers and
[96:00] that's very clear but if LG is listening
[96:03] to us on a TV where does that patient
[96:06] information go obviously can't speak for
[96:07] like all medical providers but um
[96:10] broadly speaking with something like a
[96:12] TV typically is that just like someone
[96:14] just buys it for the office you know
[96:16] like cuz cuz that doesn't strike me as
[96:18] something like if you're going to use an
[96:20] an AI transcription tool that strikes me
[96:22] as something where administrative staff
[96:25] or it or whoever would kind of go,
[96:26] "Okay, we probably need to check for
[96:27] HIPPA compliance."
[96:28] >> Right.
[96:29] >> Right. But something like a TV seems
[96:31] like it's maybe send the assistant to
[96:33] Best Buy or whatever.
[96:34] >> Or if I take a patient phone call from
[96:36] home, you know, I I I take those from
[96:39] from my own house. And so I have a few
[96:41] LG products before I watch your video.
[96:45] And so where is that data going? I I I'm
[96:48] not in control of that. I'm expected to
[96:50] be, you know, advocating for my patients
[96:52] and making sure that their privacy is
[96:55] secure, but I don't even know who's
[96:57] listening in my own household. And that
[96:58] makes it very hard when I'm doing
[97:00] patient care within privacy of my own
[97:02] home.
[97:02] >> I think that's one of the concerns we
[97:04] have too is like LG's response is, you
[97:06] know, is probably we're not listening
[97:08] through the microphone and maybe the
[97:10] capability exists, but they would say
[97:12] we're not doing it. But one of the other
[97:14] concerns we had doing this piece was um
[97:18] if there's audio playing through the
[97:20] speakers of the TV, there's also the
[97:22] capability of capturing that or parts of
[97:24] that.
[97:25] >> And so you I I guess you know
[97:29] >> probably tellaalth type of situations.
[97:31] So I mean those are those are required
[97:33] to be encrypted and if I log into
[97:36] anything like Epic is our main Epic
[97:38] Healthcare is our main um our main
[97:42] electronic medical record EMR um when I
[97:45] connect through that on my phone or on
[97:47] my laptop it goes through a VPN that's
[97:50] mandated by my employer
[97:52] >> and so if it's being recorded outside of
[97:54] that you know where that's not that's
[97:56] not HIPPA compliant and so I don't have
[97:58] any control over that cuz there's no
[98:00] notice to me saying, "Hey, you're
[98:02] actually being listened in on right
[98:04] now." And so, how can I possibly be in
[98:06] control of the entire environment when
[98:09] everything else is being listened in on?
[98:11] >> Have you tried putting tinfoil and lead
[98:13] up
[98:14] >> around like a Faraday cage around my
[98:17] clinic? Yeah. Yeah.
[98:18] >> Right. That would do it.
[98:19] >> Yeah.
[98:20] >> That'll be my next business. I'm going
[98:22] to start selling fair cages for clinics.
[98:24] >> That's great.
[98:25] >> Yeah. I'll be your first customer.
[98:26] >> Awesome. Thank you for the uh for
[98:28] joining for the story.
[98:29] >> Yeah. Thank you. I appreciate it. Next,
[98:30] we'll check in with Kevin from the Fulu
[98:32] Foundation. Kevin is the executive
[98:33] director for the Fulu Foundation. He
[98:35] works alongside Lewis at it. Kevin is
[98:37] specifically pushing against DMCA
[98:39] section 1201, which is a part of law
[98:41] that makes it a criminal act in some
[98:43] circumstances to circumvent digital
[98:45] locks. He was also one of the organizers
[98:47] for the Own Your tour that we went
[98:49] on with Lewis. Here's his take on the
[98:50] situation. My understanding is with the
[98:53] digital millime copyright act, so DMCA
[98:55] section 121 specifically, there's some
[98:58] level of criminality, I guess, to
[99:01] circumventing uh digital locks.
[99:03] >> Yeah, that's exactly right. Right. So,
[99:06] because of section 1201 of the DMCA,
[99:08] simply circumventing a digital lock can
[99:10] become a copyright crime.
[99:12] >> Okay.
[99:12] >> And so, when you're looking at these
[99:14] cases, right, you've got your TV that's
[99:16] spying on you, that's watching you,
[99:17] that's listening to you, right? you
[99:19] might want to go in and remove that
[99:20] software. Sure, there are ways that you
[99:22] can go through the menu and you can kind
[99:24] of, you know, parse through the legal
[99:26] ease and try and find a way, but there's
[99:28] no way to know for sure, right,
[99:30] >> that that data flow is stopping unless
[99:32] you go in and take it out yourself. So,
[99:34] because section 121 does have that
[99:36] prohibition on the circumvention of
[99:38] digital locks, um, you're screwed.
[99:41] >> I guess if you could walk me through the
[99:42] the basics of the DMCA and of section
[99:45] 1201 a little more, that would probably
[99:47] help.
[99:48] >> Yeah. So to do a little bit of the
[99:49] history, right, the DMCA was passed back
[99:51] in 1998 and the goal of it was to stop
[99:55] piracy of media off of CDs and DVDs,
[99:58] right? I would argue it was the wrong
[100:00] solution at that time, but it's hard for
[100:02] anyone to disagree with the fact that
[100:03] it's the wrong solution for this time
[100:05] because
[100:06] >> Congress or the architects of this law
[100:08] did not think that we would have
[100:10] computers in our park pockets, that we
[100:12] would have
[100:12] >> computers in our cars, in our tractors.
[100:14] Everything we use, right, pretty much
[100:16] these days is a computer. And what that
[100:18] means is that um those digital locks
[100:20] kind of invade on our access to control.
[100:22] So one analogy I like to use is right if
[100:25] like if you bought a house,
[100:26] >> you would expect to be able to get
[100:27] through every door and get into every
[100:29] room. One of those doors you
[100:31] accidentally lock yourself out. Picking
[100:33] that lock isn't breaking and entering,
[100:35] >> right?
[100:36] >> You own the house, you own the door, you
[100:38] own what's behind it, right?
[100:40] >> Because of section 121, that's a
[100:41] completely different story for our
[100:43] digital devices. If a manufacturer puts
[100:45] a digital lock in front of a copyrighted
[100:48] work such as yes, a movie or a song, but
[100:50] also just source code or something like
[100:52] that, um the mere act of cir
[100:54] circumventing that becomes a copyright
[100:55] crime.
[100:56] >> And just as importantly, right, like I'm
[100:58] sure that a lot of your viewers will be
[101:00] able to go and do this yourself.
[101:02] >> Um I'm a normie, so I can't do that. If
[101:05] I wanted to hire someone to do it for me
[101:07] or if someone were to try to make a tool
[101:09] that would be easy for consumers to use
[101:10] to go in and strip the ACR software off
[101:12] of their TVs, um that would be again a
[101:16] violation of section 1201. And that one
[101:18] comes with serious penalties of up to
[101:21] $500,000 in fines and five years in
[101:24] federal prison per
[101:25] >> seems proportional for
[101:27] >> Yes, exactly. Helping people not get
[101:29] spied on, right? helping people fix
[101:31] their stuff um is just an outrageous
[101:35] thing to be a copyright crime.
[101:37] >> Lewis had in his presentation he showed
[101:40] I think it was the author of I don't
[101:42] know if it was the whole DMCA or Okay.
[101:45] >> Yeah. He was one of the architects. So
[101:46] Bruce Layman who uh worked in the
[101:48] Clinton administration um you know he
[101:50] did some interviews after the fact after
[101:52] this law passed in 1998 and talked in
[101:55] 2007 and I think beyond that was first
[101:57] of all said look
[101:58] >> this law didn't work that well right
[102:00] like Napster happened after the passing
[102:02] of uh the DMCA so it didn't work the way
[102:06] they wanted it to. Um and one of the
[102:09] other things that was pretty shocking
[102:10] was he talked about how you know he
[102:12] basically executed an end run around
[102:14] Congress. So, right,
[102:15] >> when they first developed this idea,
[102:17] this policy framework, they took it to
[102:19] Congress and Congress said, "No, right,
[102:22] this is going to get in the way of fair
[102:23] use, right? This is going to infringe on
[102:26] people's rights, on their ownership
[102:28] rights, on all their kind of things,
[102:30] those kind of things." Um, so instead,
[102:33] he went and negotiated an international
[102:35] treaty through what was called WIPO,
[102:37] which is the World Intellectual Property
[102:39] Organization, trying to solve this
[102:42] problem. came back, went to Congress and
[102:44] said, "Hey, we've got this treaty. If we
[102:47] don't pass this law, we are going to be
[102:50] not in compliance with this treaty." And
[102:52] also, we're leaders in the world and we
[102:54] need to do something about this, right?
[102:56] So, it was just a total kind of pretty
[102:59] questionable move if you ask me. Um, and
[103:01] that's the reason that we, you know,
[103:03] kind of sit here today.
[103:04] >> Is there actually something people can
[103:06] do? Obviously, we just, you know, we did
[103:08] part of this tour I mentioned,
[103:09] >> right? uh to try to get people to write
[103:12] representatives and um I I think there
[103:15] is probably a healthy and and earned
[103:19] skepticism towards it but uh you know
[103:22] actually trying to write to
[103:24] representatives is probably one of the
[103:26] only you know really good tools
[103:30] available. It's really important, right?
[103:32] Because I think there's a mixture of
[103:34] things happening, right? People in
[103:35] Congress, right? I I go to DC a lot as a
[103:37] part of my job. And
[103:39] >> many members of Congress don't
[103:41] understand te technology.
[103:42] >> Mh.
[103:43] >> And at the same time, many don't
[103:45] understand copyright law, right? Like,
[103:47] okay, cool.
[103:47] >> Which fair enough, right? Like if unless
[103:50] you are into copyright law, you might
[103:52] not understand it. Not every member of
[103:54] Congress is going to be an expert on
[103:56] every aspect of the law. But that makes
[103:58] education that much more important and
[104:00] it makes it that much more important
[104:02] that they're hearing from their
[104:03] constituents who care about these kind
[104:05] of things. Right. So, as you mentioned,
[104:06] right, we've got this tour. We're going
[104:08] to 14 cities and states around the
[104:10] country. We just had one of our biggest
[104:12] in Raleigh last night, which was
[104:13] awesome. Um, great crowd. And also, you
[104:17] know, had a a member of the local
[104:19] representatives office out to see all
[104:22] >> she was listening. And she was
[104:23] listening. Yeah. and she she did to her
[104:25] credit uh she did seem to be engaged and
[104:29] possibly on board with the idea of
[104:31] owning your stuff.
[104:32] >> Yeah.
[104:32] >> So, you know, I guess point of bringing
[104:34] that up is
[104:35] >> in the very least if not the
[104:36] representatives it themselves then the
[104:38] the staff might actually listen and you
[104:41] just kind of hope that they filter the
[104:43] message up.
[104:44] >> Exactly. So, um, so for Fulu, we'll
[104:47] point people there as well, uh, for
[104:49] future tours and things like that, but
[104:51] where should they go? And
[104:53] >> yeah, go to fulu.org, right, to stay up
[104:56] to date on our work. We've got our blog.
[104:58] We post kind of, um, you know, regular
[105:00] updates. Uh, we're also on, you know,
[105:03] all all the social channels. Uh, one of
[105:05] my favorite features is, right, the
[105:07] consumer rights wiki is a big part of
[105:09] what we do. Um, and so every week we do
[105:12] the wiki hall of shame and highlight uh,
[105:15] you know, manufacturers and products
[105:17] that are particularly bad actors. So
[105:19] >> there's so many options.
[105:20] >> There are so many options. We could keep
[105:22] going forever on this
[105:23] >> infinite content.
[105:24] >> Yeah. Um, but yeah, check us out there.
[105:27] Um, and then get involved, right? We,
[105:29] like you said, it's one thing when we as
[105:31] an organization go there and that's our
[105:33] job and that's, you know, we work really
[105:35] hard at that. But when members are
[105:37] hearing from their own constituents, it
[105:39] goes that much further.
[105:40] >> And finally, we'll check in with Wendell
[105:41] for an extended discussion about our
[105:43] findings. This was sort of our debrief
[105:45] after working on the TVs for days. So,
[105:48] some of the demos we had, can you help
[105:52] explain what are some of the ways that
[105:55] the findings, the vulnerabilities,
[105:57] whatever could the features of the TV
[105:59] could be used. Uh, for example, when the
[106:02] TV appears to be off, but it's capable
[106:05] of uh storing video and audio.
[106:09] >> Yeah. Internally, the TV has 16 GB of
[106:12] flash, which doesn't sound like a lot,
[106:14] but it's got kind of a lot of
[106:15] computational horsepower, especially the
[106:17] newer TVs. And so, you can record audio,
[106:19] you can compress it, you could stream it
[106:20] to somebody over the network. It's a
[106:22] full computer, so it's basically as
[106:25] creative as your imagination is, you can
[106:28] run stuff on it. Uh there's stuff on the
[106:31] TV for like package management and
[106:33] commercial customers of LG use a lot of
[106:35] these features for like digital signage
[106:37] and everything else like that, but you
[106:38] know the consumer version of the TV,
[106:40] they rip out some of those features and
[106:42] some of the features that you know as
[106:43] like homebrew enthusiasts and like home
[106:45] lab enthusiasts, I'd like to have those
[106:47] and LG takes that out. But you know
[106:50] there's microphones, multiple
[106:52] microphones there. Uh there is the
[106:54] ability to read what is being displayed
[106:56] on the TV programmatically. So you could
[106:58] look, you could, you know, capture a
[107:00] frame or capture short clips limited by
[107:02] storage or streaming capability of
[107:04] what's on the display. I mean,
[107:05] theoretically, it's a whole computer. So
[107:07] basically anything you can do with a
[107:09] computer, but it's in the TV.
[107:10] >> Even the places where we ran into
[107:12] limitations, such as the few instances
[107:13] where we had sixsecond recordings, I
[107:16] feel like given more time than we had
[107:18] here, it's it's possible a sophisticated
[107:20] >> Yeah.
[107:21] >> programmer could.
[107:22] >> The TV is literally built for something
[107:23] called automatic content recognition.
[107:26] And it seems like the implementation
[107:28] that LG uses for automatic content
[107:29] recognition is designed to do six second
[107:33] captures of what you're looking at. And
[107:34] that's audio and video fingerprinting.
[107:36] So when ACR is working as advertised as
[107:39] the specification says, it's capturing
[107:42] about 6 seconds of audio or video and
[107:44] using that as a fingerprint and then
[107:45] it's got a dormant period where it's not
[107:47] capturing. And this is, I think, the in
[107:49] the ad industry's hedge against
[107:51] accidentally leaking, you know, hours of
[107:54] conversations like, oh, we only capture
[107:56] six seconds of it's enough to
[107:57] fingerprint it, but that's still a lot.
[107:59] You can do a lot with that.
[108:00] >> You can do a lot with that.
[108:01] >> Oh, it may also be a circumvention for
[108:04] copyright law or something if the movie
[108:06] studios are unhappy. What about so
[108:08] fingerprinting? Walk me through that
[108:09] because I think one of the security
[108:12] researchers we worked with thought that
[108:14] from his findings he couldn't see
[108:16] evidence that uh ACR was necessarily
[108:19] transmitting screenshots like JPEGs or
[108:22] PGs.
[108:23] >> You don't need to. You can take a a you
[108:25] know if you're watching a 4K, you know,
[108:27] Lord of the Rings, you don't need a full
[108:29] frame. You can have a tiny tiny tiny
[108:30] little frame and generate a hash of it
[108:33] effectively. Effectively, it's a hash.
[108:35] And then that hash is a very small
[108:37] amount of text
[108:38] >> and so that text can be sent back and
[108:40] say hey this is the hash of the thing
[108:42] that I see
[108:42] >> and then what they they compare that
[108:44] against the database and say this is a
[108:46] frame from Lord of the Rings.
[108:47] >> Yes. And we can see content of the TV
[108:51] connecting to known Alonso that's one of
[108:54] the name of the libraries and known
[108:56] domains that have to do with automatic
[108:58] content recognition. Um, and we can see
[109:00] it downloading a thing that looks like a
[109:02] database, like a fingerprint database,
[109:04] which is, I think, some clues to the TV,
[109:06] some hints to the TV about how it takes
[109:08] that audio data and that video data to
[109:10] generate the hash to then share with LG.
[109:13] >> Why might they choose to do it this way
[109:15] rather than send a screenshot or an
[109:18] audio file?
[109:19] >> Well, they did in the past. And you know
[109:22] if you look at LG's history of security
[109:24] issues uh you know 10 years ago almost
[109:27] they were sending the raw file names and
[109:29] then that turned into a PR incident.
[109:31] Yeah.
[109:31] >> And there is almost an adversarial
[109:33] relationship with the TV here. If you
[109:35] look at
[109:36] >> how the software behaves like as I was
[109:38] using it it changed behavior a couple of
[109:40] times and I don't know if that was
[109:41] because these TVs hadn't been on the
[109:43] network and they were just downloading
[109:44] application updates which is different
[109:46] than a firmware update. Like I didn't
[109:47] agree to a firmware update. Like I did
[109:48] that very deliberately.
[109:50] >> But even saying no, I don't agree to the
[109:52] terms. No, I don't want to do this app.
[109:53] It was doing stuff in the background
[109:54] like downloading stuff for apps. Amazon
[109:56] was doing stuff. The YouTube app was
[109:57] doing stuff. It's like I don't even We
[109:59] didn't even dig into what those
[110:00] applications were doing.
[110:01] >> Yes. You're not sure if it's because it
[110:02] was downloading stuff or because it was
[110:04] detecting your access basically.
[110:06] >> Yeah. Cuz sometimes the TV would go to
[110:09] sleep and then it would lose I would
[110:10] lose network access. And then other
[110:11] times the TV would be doing something in
[110:13] the background. And so everything the TV
[110:15] appeared to be off, but I had full
[110:17] access to USB and I had full access to
[110:20] run my programs. I had full access to
[110:21] audit whatever was going on on the on
[110:22] the TV.
[110:23] >> And so I just I would like to know like
[110:26] what what is LG doing? Can I audit this?
[110:29] Do I have the tools to audit this? And
[110:30] the answer was mostly no. It was an
[110:32] uphill battle for me to like dig my way
[110:35] out and figure out what it was doing.
[110:36] Let's say worst case scenario, you turn
[110:38] it into a listening device. That seems
[110:40] pretty straightforward. You turn it into
[110:41] a device to exfiltrate information from
[110:43] a corporate network or a boardroom.
[110:45] >> That seems pretty straightforward. Um,
[110:47] you use it to maintain access like as a
[110:51] point of presence on a network. Um, even
[110:54] if you don't intend to capture audio and
[110:56] video,
[110:56] >> just to go through it, toggle through
[110:58] it.
[110:58] >> It is perfectly functional as a proxy.
[111:00] So, you can proxy internet traffic and I
[111:02] can just it's like, oh, I'm going to use
[111:03] this to move laterally through
[111:06] somebody's network. We've seen that in
[111:07] the in security circles. We've seen that
[111:10] with like copy machines. Uh certainly
[111:13] the TV is is more sophisticated than the
[111:15] copy machine that I am acquainted with
[111:18] that was a command and control server
[111:19] for very bad malware. So yeah, the kinds
[111:22] of things we see in the news where it's
[111:23] like oh fancy bear is attacking routers.
[111:26] Uh fancy bear would be very comfortable
[111:27] inside LGTV.
[111:29] >> What about the scenario where the TV
[111:32] speaker output uh could be captured? So
[111:36] this was as we called it the boardroom
[111:37] scenario.
[111:39] >> Yeah. So, if you're using your TV as a
[111:41] display, the HDMI audio that goes
[111:44] through the display is also capturable
[111:46] from the interfaces that we have on the
[111:48] Linux side.
[111:48] >> And this is something you proved that we
[111:50] were able to do it.
[111:50] >> Yeah, exactly. It's a feature, not a
[111:52] bug,
[111:53] >> right? [laughter] And and this just to
[111:55] be clear again like there because
[111:57] there's a few links here, but you can do
[111:59] this without
[112:01] your laptop and you being physically
[112:05] connected to the TV directly. Yes.
[112:07] >> Right. You can do this through the
[112:08] network.
[112:09] >> Yeah. And we can do it with the TV off
[112:11] of the network and just have it capture
[112:13] and then as soon as it gets network
[112:15] access again, it was basically used as a
[112:17] recording device,
[112:18] >> right? You go back in after it's
[112:19] reconnected. So, let's say you're super
[112:22] paranoid, I guess, and there's a
[112:24] scenario where you you not you just you
[112:26] unplug the Ethernet from your TV during
[112:29] this boardroom meeting or something. I
[112:31] guess as long as it's still powered on
[112:33] and capable of capturing,
[112:35] >> you've got at least 4 gigabytes of space
[112:36] to work with, right? So, if you had an
[112:38] adversary that knew that there was going
[112:39] to be a big important shareholder
[112:41] meeting, um they could have the TV
[112:43] completely offline off of the internet
[112:46] and it's perfectly capable of recording
[112:48] and storing the audio for that meeting.
[112:50] And then somebody could come in later
[112:52] >> as long as they've prepared for it in
[112:53] advance. They know it's going to happen.
[112:54] They set it to record. Yeah.
[112:56] >> Whatever. shareholder. Someone's super
[112:57] paranoid. They unplugged the Ethernet
[112:58] cable,
[112:59] >> but it was already rolling the capture,
[113:01] I guess.
[113:01] >> Yeah. For audio, uh, you know, it's it's
[113:03] 16 gigabytes total storage. You got
[113:05] probably about 4 GB to work with out of
[113:07] the box if you don't get creative.
[113:10] >> And that is a that's 4 GB of audio.
[113:13] That's a lot of audio. But imagine also,
[113:15] I've got a 256 gig USB stick. I stick
[113:17] that in there. That's weeks of audio,
[113:19] >> right? Uh so in so in this example, you
[113:21] know, the boardroom example, I guess,
[113:24] use cases might be let's just take the
[113:27] least nefarious I guess just just good
[113:30] old like fraud basically market
[113:32] manipulation.
[113:32] >> Yeah. I'm going to I'm going to play the
[113:34] stock market. What's going to be said in
[113:35] this thing? There you go.
[113:37] >> Yeah.
[113:37] >> Yeah. [laughter]
[113:38] >> Uh which could be useful also to nation
[113:40] states or, you know, intelligence
[113:43] agencies. Like I'm sure there's all
[113:45] kinds of stories of North Korea, for
[113:47] example, doing things in the crypto
[113:48] market or whatever. So
[113:49] >> yeah,
[113:50] >> um what
[113:51] >> and if your TV like let's say that your
[113:54] IT organization is like super on the
[113:55] ball and the TV is normally not on the
[113:58] network at all and it's completely
[114:00] isolated and it's not even in scope for
[114:02] them to monitor. If you had somebody
[114:04] acting nefariously like that and they
[114:06] had alone time with the TV, you could be
[114:08] in and out in 10 minutes.
[114:10] >> So yeah, so there's potential vectors
[114:12] both on and off network, I suppose.
[114:14] >> Uh and with and without physical access
[114:17] depending on how you get in. Yeah, your
[114:19] guy found a zero day that seems like it
[114:21] would be able to connect to the TV over
[114:23] the network uh non-interactively,
[114:26] >> right?
[114:27] >> Fabulous. [laughter]
[114:28] >> The one that we found requires you to
[114:31] hit okay. It's like a mobile device
[114:34] would like to pair with your TV. Is that
[114:36] okay? And then you say yes. And then
[114:38] that's all she wrote. All
[114:39] >> right. [laughter]
[114:40] Um what about the scenario where a TV
[114:44] ACR audio capture? So we were able to
[114:46] pull the 6second or so audio clips. So
[114:49] this is separate from the one where it's
[114:50] just the speakers for the boardroom
[114:52] scenario.
[114:52] >> Yeah, this was a little bit of creative
[114:54] debugging. So like we really we were we
[114:57] were we were up to our elbow inside the
[114:59] TV if you know mental picture for that.
[115:01] It's pretty amazing I think. and the ACR
[115:04] process. So
[115:05] >> colonoscopy of LG [laughter]
[115:07] >> we were we were running uh very deep
[115:10] analysis of the ACR process and we were
[115:13] able to see because this also helped us
[115:14] figure out some of the audio formats
[115:15] like some of the audio formats are
[115:16] nonobvious. There's also a speaker
[115:18] feedback microphone a secondary
[115:20] microphone which could be used for audio
[115:21] capture which we should talk about. We
[115:23] were able to intercept the audio
[115:25] recording before it was converted into a
[115:28] hash and save it.
[115:29] >> Okay. And so without and that sounds
[115:31] like it's a lot of manipulation but like
[115:32] once you know how to do that you have a
[115:34] very very tiny program that's just
[115:36] watching the other program and when it
[115:37] captures the audio it's like yo that's
[115:39] mine and you can save those sixsecond
[115:42] clips and that would that's very hard to
[115:44] detect.
[115:45] >> Yeah
[115:46] >> because the TV is is behaving normally
[115:48] >> right.
[115:50] What about um the feedback mic? You just
[115:53] mentioned that. So, the feedback, the
[115:55] audio quality from that is terrible, but
[115:56] it seems like there is a secondary
[115:58] microphone that's used somehow as part
[116:00] of like the audio solution. I have no
[116:03] idea how it's supposed to work in normal
[116:05] scenarios. Uh, but it's very low bit
[116:07] rate, which is good, but it's not low
[116:10] enough bit rate that we couldn't
[116:10] reconstruct speech from it.
[116:12] >> Mhm. What about um log files on RAM? So,
[116:16] that was pretty interesting.
[116:17] >> Okay. So, it's only 16 gigabytes of
[116:20] flash and it does seem like in So, I
[116:23] started like full background here. I
[116:25] started on an older TV. You You bought a
[116:27] newer one. It's a donation to the cause.
[116:29] I don't know. We're going to we're going
[116:30] to run that in. Doesn't matter. Doesn't
[116:32] matter. Uh my older TV um was a little
[116:36] bit more uh verbose with logging. And I
[116:39] think that LG probably ran into
[116:40] situations where that was wearing out
[116:41] the flash prematurely. Um, and so this
[116:44] new one logs everything to RAM disk. But
[116:47] there is a process that runs and
[116:49] collects the logs, I guess, the
[116:50] interesting stuff and puts it in flash.
[116:53] There's also a lot of evidence in the
[116:55] packet capture that this stuff is sent
[116:57] to LG. And so in the debug logs, which
[116:59] are stored on a RAM disc, and so even
[117:01] when the TV is off, it doesn't erase
[117:02] that. You have to like physically unplug
[117:04] it or do something with that. Um, in
[117:07] those logs, we can see everything that
[117:10] you've said to the TV,
[117:12] >> right? Uh, do you want to pull up an
[117:13] example? This is stored in a log file.
[117:16] Uh, I mean that's concerning for a
[117:18] number of reasons. Devil's advocate
[117:21] position might be okay, but you
[117:23] explicitly said hi LG and triggered it
[117:26] right before you so you knew it was
[117:27] recording. But in fact, there were
[117:30] several instances where genuinely we did
[117:32] not know I didn't know it was still
[117:34] recording. And so some of the testing I
[117:36] was doing was it appears to be uh
[117:39] somewhere between 10 and 15 seconds or
[117:42] so it will remain active.
[117:44] >> I just heard it ding.
[117:45] >> Did you really? [laughter] I that was
[117:47] the other thing. We we got it working
[117:49] from at least 60 ft roughly away, maybe
[117:52] 70 around a corner in some instances
[117:54] around two corners. And
[117:56] >> microphone's really good.
[117:57] >> The microphone's amazing. It like we
[117:59] should maybe replace some of our studio
[118:01] mics. But the
[118:02] >> that's another thing an adversary
[118:04] [clears throat]
[118:05] with a little bit more time can figure
[118:07] out the voice wake microphone. Now that
[118:10] also was a little it was a little weird
[118:12] for us to try to co-opt the voice
[118:15] capture microphone, but clearly LG is
[118:17] doing something there. And I feel
[118:19] certain that uh an appropriately skilled
[118:21] security researcher could co-opt that
[118:23] microphone and get even better
[118:25] recordings than we did.
[118:26] >> Yeah. And I think really the key is it's
[118:29] writing these log files.
[118:31] Even if if you have ambient conversation
[118:34] that's happening around the TV when
[118:36] someone triggers it, uh it will remain
[118:38] active if it continues to hear speech
[118:41] for some period of time. It seemed
[118:42] pretty long and uh it's it's collecting
[118:44] all that and it's writing it here.
[118:46] >> Yeah. This is without any modifications,
[118:48] I think, is is what is what you're
[118:49] you're getting at. Yes. It's like I I'm
[118:52] co-opting the microphone to record audio
[118:54] and we know that that the six-second
[118:57] clips are destroyed in favor of but
[119:00] these captures. Yes,
[119:01] >> this is as the TV works.
[119:03] >> Yeah, as the TV works, the text that it
[119:06] was able to convert from your speech
[119:08] ends up in the log,
[119:09] >> right? So, as long as you can get access
[119:12] to those logs, you can get access to
[119:13] what was said. And once again,
[119:16] >> it may be more than just, "Hi LG, please
[119:19] change the channel." Yeah, it's funny
[119:21] actually. Um I'm now I'm remembering
[119:24] from like an IT audit standpoint. Uh one
[119:26] of the things in like ISO, not not just
[119:29] ISO, but like process certification and
[119:32] um the California privacy law having
[119:35] debug logs that log sensitive
[119:37] information is verboten and this would
[119:39] probably run a foul of that.
[119:40] >> Well, we had uh an example where I said
[119:43] >> right there.
[119:44] >> So here you go. So here was now it was
[119:48] triggered But then I I was started
[119:51] talking about something else. I was
[119:52] talking about my social security number.
[119:54] Maybe I was on a phone call with a
[119:56] hospital or something. I need to verify
[119:58] who I am. Yeah. Whatever the case may
[119:59] be, maybe a credit agency.
[120:01] >> And uh I said, "Hi, LG." I told it to do
[120:04] what I wanted. And then I continued my
[120:05] conversation. Yeah. And here it is.
[120:07] Here's my social security number. 11111.
[120:10] The response to this I guess is
[120:14] well first of all it appeared to persist
[120:18] after we cleared we told it to clear the
[120:20] data.
[120:21] >> Yes.
[120:21] >> And it persisted.
[120:22] >> Yeah. So
[120:23] >> there's one asterisk we'll get to. But
[120:25] >> yeah, we clear it's like okay clear the
[120:27] data. The TV treats that as let me just
[120:30] phone LG servers and clear the data. It
[120:33] doesn't really seem to do much locally
[120:35] with that. Now, these logs, the full
[120:38] verbose logs are stored on a on a RAM
[120:41] disc.
[120:41] >> And if you reboot the TV, it doesn't
[120:43] clear the RAM disc, right?
[120:45] >> But if you physically unplug the TV,
[120:47] >> if you kill the power,
[120:48] >> if you kill the power, it does. And so,
[120:49] we lose this. They It also seems to
[120:51] rotate these verbose logs pretty
[120:53] quickly.
[120:54] >> Um, but
[120:55] >> if someone's pulling them though, yes,
[120:57] >> in the in real time, it doesn't matter.
[120:59] >> Yeah, it doesn't matter. Um, and it
[121:01] seems like a lot of the applications and
[121:04] like the applications that are
[121:05] generating this that are doing this are
[121:07] actually doing kind of a lot of writing
[121:09] to the flash. Like it's it's still it's
[121:11] like, oh, we've taken steps to
[121:13] >> make sure that we don't prematurely wear
[121:15] out the flash, but it's still doing a
[121:16] lot. And so I think there's there's
[121:18] there's a lot of fertile ground here for
[121:19] researchers to go. It's like, okay, what
[121:21] is it doing exactly? But most of the,
[121:23] you know, delete my data or forget this,
[121:25] it doesn't do it doesn't care what's on
[121:27] the TV, right? It just does the remote.
[121:30] >> Yeah. So, the the situation we were
[121:32] concerned about was okay, if you do
[121:33] delete my data, you bring the TV to
[121:35] Goodwill and it's gone. Does that data
[121:37] persist? Initially, we thought maybe
[121:39] because when we rebooted it, it was
[121:41] still there in the logs, but then after
[121:43] pulling the power cable, it got wiped
[121:45] out, right? Yeah. So, at least locally
[121:47] to the TV, those specific verbose logs
[121:50] appeared to be gone.
[121:51] >> Yeah. But other logs persist.
[121:53] >> Other logs were still there and we
[121:55] haven't dug into every single one of
[121:56] them. So we we can't say with certainty
[121:58] like what it retained, but
[122:00] >> yeah unsettling. It's like how do you
[122:02] format your TV? LG doesn't. It's like do
[122:05] you trust LG to do that? It's like no, I
[122:07] would like to get in there and look
[122:08] around and
[122:10] >> make sure it's formatted. Yeah,
[122:11] >> that seems reasonable.
[122:13] >> What about um how does the TV know where
[122:15] it is?
[122:16] >> Uh so uh
[122:18] >> there's no GPS. While other researchers
[122:20] have sort of noticed that, hey, when we
[122:23] look at the traffic to LG, it sure seems
[122:26] like that it's inventorying the wireless
[122:29] networks that are around. So, there is
[122:30] no GPS unit. If you take it, it's like,
[122:32] oh yeah, this is great. Even though I've
[122:34] only ever used the TV for a wired
[122:36] interface, it seems like it's noticing
[122:39] the wireless networks that are around
[122:41] it. And based on the wireless networks
[122:43] you can see, you can use that for
[122:44] geoloccation because you can see the
[122:45] wire the names of the wireless networks
[122:46] but also the MAC addresses of the access
[122:48] points.
[122:49] >> And that is a cheap easy way to do GPS.
[122:52] I'll go you one better. If you had a
[122:54] rogue employee inside of LG or a hacker
[122:58] that leaks this database to the
[122:59] internet,
[123:00] >> so the information that that uh Mr.
[123:03] captured
[123:04] >> and was submitted. If that is in a
[123:06] database at LG somewhere, then someone
[123:09] could exfiltrate that information from
[123:11] LG and now they can find a specific TV
[123:14] based on interesting places the TV
[123:16] exists.
[123:16] >> Not like Washington DC or Yeah. Right.
[123:20] >> Yeah. It's like I'm looking for the TV
[123:22] in this boardroom. What do they have?
[123:23] What are my options? And even before
[123:25] setting foot inside the business, they
[123:27] can know, oh, there's an LG TV there
[123:29] because I have looked at the
[123:31] geoloccation database in LG.
[123:33] >> There's this 30 acre campus with nothing
[123:35] but giant corporation A.
[123:37] >> Yeah. Now, that sounds absurd, but if
[123:39] you look at the if you set aside LG for
[123:41] a second and look at Meta and how Meta
[123:43] has sold ads, Meta has literally gotten
[123:45] in trouble for uh selling to wouldbe
[123:48] advertisers the ability to geollocate
[123:50] down to like individual street
[123:52] addresses. [laughter] It's like I want
[123:54] to sell an ad to the person in this
[123:55] house. Okay, the the platform is capable
[123:59] of that.
[123:59] >> There's so many ways to abuse that.
[124:01] >> I don't want a TV that I have to have an
[124:03] adversarial relationship. And
[124:05] immediately out of the box, you're on
[124:07] the wrong foot with LG because they own
[124:10] the glass.
[124:11] >> They do say they own the glass.
[124:12] >> So, this is unencrypted. They don't even
[124:14] try with this. This is just not even a
[124:16] thing. If you're in the middle between
[124:18] the TV and the internet, then it's a
[124:19] command and control type situation. You
[124:21] could also make the argument like if LG
[124:23] lets one of those bazillion domains
[124:25] expire, that's going to be a great
[124:27] vector to take over tons of TVs. So LG
[124:30] gets kind of a black market here, too,
[124:32] because my older TVs have security
[124:35] vulnerabilities that LG is just not
[124:36] interested in patching.
[124:37] >> Okay, cool.
[124:37] >> They're like, "Oh, it's a six-year-old
[124:38] TV or a 5-year-old TV. We don't care."
[124:40] >> Right. Great.
[124:42] >> Yeah. But if you have Yeah. Right.
[124:45] >> Um RCE, so can you help explain some of
[124:48] this where
[124:49] >> Mr. bra has a vulnerability that we
[124:52] can't disclose
[124:54] beyond basically saying it's bad and uh
[124:57] and it could grant someone access to the
[125:00] TV. I think that's about the extent of
[125:01] what we can say.
[125:02] >> Yeah.
[125:03] >> Um but can you help without exposing too
[125:06] much of that information explain the
[125:09] concept of like an what is you know
[125:12] remote code execution? What is that
[125:14] without going into how it works here?
[125:15] >> So you're gonna you're going to show on
[125:17] TV what we did using the stuff from
[125:18] GitHub, right? Yes.
[125:19] >> Okay. So that was remote code execution
[125:22] effectively.
[125:22] >> So you can use our work to explain it.
[125:24] Okay.
[125:25] >> Uh he found a way to do it
[125:28] non-interactively probably,
[125:29] >> right?
[125:30] >> Which is amazing. Nice job. [laughter]
[125:32] Uh the uh the first uh attempt that we
[125:37] had failed. And so we got the popup at
[125:40] the bottom where it was trying to
[125:41] install, you know, whatever it was, but
[125:43] it was not able to um remotely execute
[125:46] all of the code. It was able to remotely
[125:48] execute some of the code to give us the
[125:49] banner, but it wasn't able to remotely
[125:51] execute all the
[125:52] >> take a step back just like first I guess
[125:54] definition of remote code execution
[125:56] broadly
[125:57] >> um
[125:58] >> as a vulnerability
[125:59] >> uh you can cause something to download
[126:03] code and execute it with whatever level
[126:07] of permissions. Okay,
[126:08] >> so remote code execution, you might be
[126:11] executing the code in a sandbox, but
[126:13] then you might be able to escalate your
[126:14] permissions from the sandbox to some
[126:16] something else. And so this is this
[126:18] that's uh more broadly described as like
[126:20] exploit chaining. But rce remote code
[126:24] execution is one of the best uh beach
[126:28] heads into a system as like a starting
[126:32] point. If you can find a vulnerability
[126:33] that is remote code execution, then you
[126:36] can get a lot more access to the system.
[126:38] Um, the less interactive
[126:40] >> uh requirements you have for remote code
[126:42] execution, the more ability you have to
[126:46] take over more TVs, okay,
[126:48] surreptitiously, right?
[126:49] >> So, the the the more holes that you find
[126:53] sort of the worse it becomes.
[126:54] >> That makes sense. Um, ours, the one that
[126:58] worked was actually, I think, a worse
[127:00] remote code execution than the one that
[127:01] had been patched by LG.
[127:03] >> The one that had been patched by LG was
[127:05] we had to put in the um the IP address
[127:08] of the TV
[127:09] >> and then the TV would pair the the
[127:12] exploit application would pair to the TV
[127:14] like as if it was a mobile device. And
[127:15] so there was a pop-up and we had to say
[127:16] yes
[127:17] >> and then it took off and that was fun.
[127:20] Um, but that didn't result in control of
[127:24] the TV. The one that worked was from the
[127:26] browser in the TV. So like if you go in
[127:28] the web browser in the TV and you went
[127:30] to a web page
[127:31] >> and you went to the wrong web page
[127:34] >> and you accidentally hit yes or on
[127:36] purpose was like a mobile because the
[127:37] web page also generated
[127:38] >> this one you ran.
[127:39] >> Yeah. Yeah. Okay.
[127:40] >> And so the popup said, "Oh, there's a
[127:42] mobile device. Would you like to pair
[127:44] with a mobile device?" There was no
[127:45] mobile device. That was the web page.
[127:46] The mobile device was the web page.
[127:48] >> And so if you said yes because you know
[127:51] the thing is a little fiddly. Or if you
[127:52] just were in a loop and you said no, you
[127:54] can just have it say yes over and over
[127:55] again,
[127:55] >> right? Until they finally like, h, fine.
[127:57] Okay.
[127:57] >> Yeah. The LG browser is not it's
[128:00] terrible. And but it's Chromium based,
[128:01] but it's old Chromium. And so it's um
[128:04] and so you say yes and then we were in.
[128:08] >> So that's really not a a really super
[128:10] high bar for
[128:11] >> right access. Yeah.
[128:13] >> Yeah. And also LG doesn't give you like
[128:16] their even if you go in their developer
[128:18] program like that that's the legit way
[128:20] to do this kind of thing. They really
[128:22] don't give you full access to the
[128:24] hardware that you own because they don't
[128:27] think you own it.
[128:28] >> Yeah. As we keep coming back to.
[128:31] >> Yeah. And that's that's offensive. It's
[128:32] like it's my TV. I'd like to audit it.
[128:34] If if you look at the old TVs that we
[128:36] have like six years ago, um those TVs
[128:39] didn't even have an advertising ID out
[128:40] of the box. And then you get a firmware
[128:43] update and even without opting into
[128:44] anything, boom, there's your advertising
[128:46] ID. I didn't agree to that. What?
[128:47] >> We showed it on your TV. Yeah. You
[128:49] literally had no terms you had agreed
[128:51] to, right? Yep. Ever. And then
[128:53] >> from one update to the next, it's like,
[128:54] oh, now we've got an advertising ID. And
[128:57] you can't turn it off.
[128:58] >> It added that cookies thing, too. Yeah.
[129:00] The kind of dark pattern toggle. Yeah.
[129:03] >> Like, I did not give you permission to
[129:05] alter the functionality of the TV with
[129:06] this update. there was no notice that
[129:08] the functionality of the TV would be
[129:09] altered with this update.
[129:11] >> Right. Well, and that also seems like it
[129:13] would require some kind of toos
[129:14] agreement or something, user agreement.
[129:16] But
[129:17] >> even basic stuff, there's there's people
[129:18] on on on the forum that have been raised
[129:21] in heck because LG keeps changing how
[129:23] they deal with DTS audio, and that has
[129:26] nothing to do with any of the stuff that
[129:27] we're talking about except for LG is
[129:29] changing the functionality of a TV after
[129:32] the fact,
[129:33] >> right? All right. Any other any other
[129:35] points you want to talk about here? I
[129:36] mean, you're you own several LG TVs in
[129:39] your office.
[129:40] >> Yeah, it's basically all LG. Uh, it's
[129:43] funny, though, because all the LGs that
[129:44] I've had here for years, every one of
[129:46] them is the out of the box firmware.
[129:48] >> That's LG right there.
[129:49] >> Yeah. Yeah. This is like the other one
[129:52] that's on a they're all LG and yet
[129:53] they've never been on the network
[129:54] because I never I've never trusted LG to
[129:57] do that. Actually, the crossover
[129:59] monitor, the like the the the one on the
[130:01] wall back there is an LG panel with LG
[130:04] Alternative Electronics. And as a
[130:06] company, Crossover, that was a viable
[130:08] business model for them. We can actually
[130:09] go peel the sticker off and there's an
[130:11] LG sticker behind the Crossover sticker.
[130:13] >> So Crossover is the name of a brand.
[130:15] >> Okay. So Crossover put their sticker on
[130:17] top of the LG sticker.
[130:18] >> Yep. But it's a completely different set
[130:20] of electronics.
[130:21] >> Why? What's the
[130:24] [laughter]
[130:28] >> I think you know why. [laughter]
[130:31] >> You know, short version recap. How do
[130:32] you feel about the what's your level of
[130:34] concern with this, you know, as as both
[130:38] a a business owner with these types of
[130:39] devices, but also someone who may, you
[130:42] know, advise or work with businesses on
[130:44] security or infrastructure?
[130:46] >> I've never advised using the TV's
[130:48] built-in apps. It is it's a devil's deal
[130:51] and eventually it will come to
[130:53] >> but I have to admit that it was very
[130:54] creative of LG cuz like a computer
[130:56] display is a dumb display. It was very
[130:58] creative of them to co-opt the Windows
[131:00] update system to use that to in shedify.
[131:03] >> Well, you know that uh Microsoft owns
[131:05] the data management service that LG uses
[131:09] for that stuff.
[131:11] >> That tracks,
[131:12] >> but don't worry, Microsoft will throw LG
[131:14] under the bus and pretend that it
[131:15] [laughter] was all their fault.
[131:17] >> Yeah, I like how Microsoft's reaction to
[131:19] that was like, hey, could you maybe cut
[131:20] that out and not just terminating their
[131:22] Windows update account and rolling back
[131:24] all the changes?
[131:24] >> I mean, that's probably what they would
[131:26] do to a small developer, right? some
[131:28] name they would just terminate your
[131:29] account like you've abused this function
[131:31] goodbye you know but not
[131:33] >> they certainly did that to the security
[131:34] researchers trying to tell them problems
[131:36] with things Microsoft
[131:39] >> thanks Microsoft [laughter]
[131:42] >> all right I think that's kind of that's
[131:44] a pretty good recap so
[131:46] >> we'll jump over to the next part thanks
[131:48] Wendell
[131:49] >> thanks Steve
[131:50] >> LG will probably say that they take
[131:52] vulnerabilities very seriously and will
[131:54] patch them right away but they didn't
[131:56] reply to us when we sent them a ton of
[131:58] our concerns. The bigger we
[132:00] think, is LG deliberately designing this
[132:03] to make money off of your privacy after
[132:05] you paid for a thing and off of your
[132:07] personal information. You have to reject
[132:10] this outright or it will just keep
[132:12] getting worse. If you want flock cameras
[132:14] on your living room wall, this is how
[132:17] you get flock cameras on your living
[132:19] room wall. The only reason to give a TV
[132:21] this kind of power is to visit horrors
[132:24] upon you, not to make a better product.
[132:27] Ultimately, we wouldn't recommend any LG
[132:29] smart products to literally anybody.
[132:32] That'll wrap this part of our deep dive
[132:33] investigation. We do have more, though.
[132:35] It's likely we'll have more installments
[132:36] in this saga, and we really need your
[132:38] help to pay for this video. I spent a
[132:41] lot of money on this video.
[132:44] Seriously, it was a lot. We spent more
[132:46] than a month working on this, including
[132:47] travel, buying thousands of dollars of
[132:49] TVs. We had most the team on this
[132:51] project. Really, the best way to support
[132:52] us on this one and the other upcoming
[132:54] videos in this series would be through
[132:56] our data dragnet campaign on the store,
[132:58] which is a Kickstarter style campaign
[133:00] where we transparently show you how much
[133:01] money we've raised. And we have some
[133:03] goals what we're going to do with it.
[133:04] So, for example, we'd really like to go
[133:05] back in with Samsung, Vizio, anyone
[133:07] else, and kind of do a bunch of this
[133:09] research again or stuff like it. See
[133:10] what we can find. This is so expensive
[133:13] both in time and in actual cost and the
[133:16] two related together. I mean, I can't
[133:18] just like stop everything for three
[133:20] months every time we do one of these
[133:21] kind of like we did with LG. And so
[133:23] that's where we really need your help.
[133:25] We have some pretty damn cool stuff on
[133:26] the store for this as well. So, in
[133:28] addition to the individually available
[133:29] items like our new foil cyber skeleton
[133:32] shirt and our foil polygon V2 shirt and
[133:35] our LG Investigation Blu-ray discs
[133:37] available that we're burning in house,
[133:39] we're 3D printing the cases in house.
[133:40] all that stuff. We also have four
[133:42] different backer tiers that give some
[133:43] good discounts on bundling a bunch of
[133:45] items together. They also give bonus
[133:47] videos. And then in the case of the
[133:49] sabotur tier, the highest one, there's a
[133:51] live stream Q&A with me that you'll get
[133:53] to join. I'll send those invites out at
[133:54] the end of the campaign. So, be a little
[133:56] while, but those are always really fun
[133:57] to hang out with the community. So, this
[133:59] is the best way to support us. If you
[134:00] don't need one of these, we also have a
[134:02] donate button in the bottom left of
[134:03] store.gamersex.net
[134:05] and on patreon.com/gamers
[134:07] nexus for monthly support. Or you could
[134:10] consider buying one of our other items
[134:11] like our project and soldering mats.
[134:13] Great for any project. We think the
[134:15] extent of LG's data harvesting is
[134:16] intrusive and grotesque. Additionally,
[134:19] despite the Overton window shifting
[134:20] further and further away, we still
[134:22] believe that when you purchase
[134:23] something, especially for thousands of
[134:25] dollars, you should own that thing. LG
[134:28] isn't the only smart TV manufacturer
[134:30] behaving this way. and we'd like to
[134:31] expand the scope of our investigation
[134:33] and eventually test TVs from other
[134:34] manufacturers in a follow-up piece, but
[134:37] we are going to need funding for that.
[134:39] If you have any tips or leads for a
[134:40] follow-up, please email us at
[134:42] tips@gamersex.net.
[134:44] Mr. Bra advised immediately
[134:45] disconnecting LG smart TVs from any
[134:48] network. Wendell felt much the same. Our
[134:50] other researcher we worked with, U-Turn,
[134:52] said this quote, "My recommendation to
[134:54] users would be to demand ownership over
[134:56] your devices. First, by using and
[134:58] supporting proconsumer projects that
[135:00] seek to give you device control back,
[135:03] and second, by demanding legislation
[135:05] that reflects the changes you want to
[135:07] see. Sell carriers only carrier unlock
[135:09] your phones because the 113th Congress
[135:11] made it law." End quote. Which I thought
[135:14] was an excellent point. As where groups
[135:16] like Fulu come in both U-Turn and Mr.
[135:19] Bruh have communityf funed coffee pages
[135:21] we'll link below. Our thanks to Wendell,
[135:23] Mr. Brah, and U-Turn for their help with
[135:25] researching this piece and the
[135:26] informants in our inbox. We'll have a
[135:28] lot more to talk about with all this
[135:30] soon. And one final time, we really do
[135:33] need the help funding this expensive
[135:34] type of work so we can do the next set
[135:36] of smart TVs. So, if you feel like you
[135:38] can spare it, please head over to our
[135:39] store or Patreon to leave a super thanks
[135:42] below so I can spend thousands of
[135:45] dollars on TVs that will spy on us.
[135:48] Thanks for watching. Subscribe for more
[135:49] and we'll see you all next