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Hackers Got Inside a Flock Camera. Its Data Shows How the System Really Works

Hackers stole a Flock Safety camera, copied its storage, and recovered an encryption key exposing vehicle surveillance data and system internals.

Hackers from the collective stegan0gram removed a Flock Safety license plate reader from a roadway, copied its storage, and recovered an encryption key stored in an unencrypted partition, unlocking videos of thousands of vehicle detections. The data, shared with 404 Media, WIRED, and Distributed Denial of Secrets, shows the camera generated roughly 1.6 million images of about 50,200 vehicles over 21 days and detects people, bicycles, and bumper stickers in addition to license plates. The dump follows 2025 research by Jon 'GainSec' Gaines documenting flaws enabling root access, which Flock downplayed. Flock's national network makes camera records searchable by more than 2,000 agencies, fueling controversy over police and immigration lookups.

WIRED · Securityupdated · 10h agofirst · 21h agoData breach in the wild 3 sources

A Georgia Cop Used Flock to Track 2 Other Cops: His Ex and Her Friend

A Georgia police officer used Flock license plate reader cameras to surveil his ex-partner and another officer after their affair ended.

Internal investigation records show a Georgia officer used the Flock license plate reader network to track the movements of a fellow police officer with whom he had an affair, along with a man whose vehicle frequently appeared near hers. The unauthorized personal use of police surveillance infrastructure surfaced through an internal affairs review. The case highlights oversight gaps around law enforcement access to mass surveillance data.

WIRED · Security · 20d agoPolicy & legal

More Americans oppose police license plate cameras than support them: survey

A survey finds more Americans oppose police license plate cameras than support them amid reported police abuses of surveillance cameras.

A new survey shows opposition to police license plate reader cameras now exceeds support among Americans. The backlash comes amid a wave of reported police abuses involving surveillance cameras. The findings add to public debate over police surveillance technology.

TechCrunch · Security · 19d agoPolicy & legal

Flock camera use by internal affairs unit puts DC police at odds with officers’ union

DC's Metropolitan Police Department used Flock license plate cameras to track officers under internal affairs investigation, prompting a union grievance and council scrutiny.

The DC Police Union learned in July 2026 that MPD Internal Affairs used Flock ALPR cameras to monitor officers under investigation without their knowledge, filing a grievance that management denied. Secure Justice found more than 90 US cities and counties ended Flock contracts in August 2026 alone, with over 200 terminations since 2021, while Texas and Florida announced new usage restrictions. On September 14, DC Councilmember Brooke Pinto asked Interim Chief Jeffery Carroll ten questions about the department's use of Flock data.

The Record · 18h agoPolicy & legal

Inside Operation CameraSwarm: How One Actor Took Over 14,000 Dahua Cameras

One actor compromised over 14,000 Dahua cameras in Ukraine and Russia using brute-force, authentication bypass, and cloud relay serial-number abuse.

Hunt.io reconstructed Operation CameraSwarm from an exposed operator directory, revealing one actor compromised 14,000+ Dahua cameras between June 17 and July 22, 2026, mainly in Ukraine and Russia. The toolkit included a brute-force engine, a two-flaw 2021 authentication-bypass chain planting a persistent backdoor account on 1,923 cameras, and abuse of Dahua's cloud relay where 89.4% of probed serials returned open, unauthenticated channels. A SalatStealer Windows binary and Defender-disabling PowerShell script were staged on the same server but appear unrelated to the camera campaign.

Security Affairs · 28d agoThreat actor in the wildCVE-2024-39943CVE-2025-31702

New surveillance tech links your phone to your license plate

Researchers show roadside cameras plus Bluetooth signals can link phones to license plates, enabling richer tracking.

Ars Technica reports on new surveillance research showing that combining roadside camera license plate recognition with phone Bluetooth signals can associate specific devices with specific vehicles. The approach could turn existing traffic cameras into far richer tracking tools that follow both a car and its occupant's phone. The work raises significant privacy and civil liberties concerns.

Ars Technica · Security · Aug 11, 2026Research

ReactVAU: A Slow-Fast Decoupled Framework for Streaming Video Anomaly Understanding

ReactVAU is a slow-fast streaming framework for real-time video anomaly understanding that reserves heavyweight MLLM reasoning for suspicious events, improving efficiency.

ReactVAU addresses causal streaming video anomaly understanding with three components: a lightweight Fast Detection Module using Spatial Grid Folding, Anomaly-Aware Persistent Memory that protects critical visual cues from temporal decay, and a Slow Reasoning Module activated only on suspicious events. This design minimizes heavyweight MLLM invocations during long normal intervals. Experiments show competitive anomaly detection and causal reasoning under strict streaming constraints with significantly enhanced computational efficiency.

Hugging Face daily papers · 10d agoAI research

Automobile Camouflage to Hide from Flock Cameras

Schneier on Security highlights a printed vehicle-camouflage pattern tested to defeat Flock surveillance cameras and Axon body cameras.

The post discusses covering cars with printed patterns designed to fool Flock automated license-plate recognition software, with testing reportedly done against Flock and Axon body cameras. Reader comments question effectiveness against other ALPR vendors, Flock's RF MAC-address upgrade, and whether such camouflage might become regulated. The page also contains off-topic comment threads about anti-bot over-blocking and privacy.

Schneier on Security · 9d agoResearch

Risky Bulletin: Slovakia finds Russian backdoor in traffic speed cameras

Slovakia's NBU found an SMS-triggered backdoor in Russian-made NERO R-ONE traffic cameras, pausing a 279-unit deployment.

Slovakia's national security service NBU issued an alert against NERO R-ONE high-speed traffic cameras after finding a backdoor that grants shell and network access via SMS from hardcoded Russian phone numbers. The cameras are a rebranded version of the Russian CORDON PRO.M model by St. Petersburg firm Semicon, purchased via a Cyprus shell company under a €30 million EU-funded project. The report also found SecureBoot disabled, vulnerable web management, and unauthenticated live streams; the Interior Ministry paused deployment of 279 cameras pending independent assessment.

Risky Business News · 29d agoThreat actor in the wild1

3 Vulnerabilities Found on AvertX IP Cameras

Unit 42 disclosed three vulnerabilities (CVE-2020-11623/4/5) in AvertX HD838 and 438IR IP cameras; AvertX has released patches.

Palo Alto Networks Unit 42 researchers found three vulnerabilities in AvertX HD838 and 438IR outdoor surveillance cameras, which are rebranded Hikvision products: CVE-2020-11625 (user enumeration), CVE-2020-11624 (weak password requirements), and CVE-2020-11623 (exposed dangerous method/function). User enumeration responses facilitate brute-force attacks, the default admin credentials (admin/1234) are never enforced to change, and physical access to an exposed UART interface allows bootloader access and configuration modification. AvertX released a patch, removed the UART connector, and disabled the interface in the latest production batch.

Palo Alto Unit 42 · Aug 18, 2026VulnerabilityCVE-2020-11625CVE-2020-11624CVE-2020-11623

Researchers built a $7 gadget for anyone paranoid about hidden cameras in hotel rooms

KAIST-led researchers built SweepLED, a sub-$7 smartphone LED clip using AI to detect hidden cameras with 93.9-95.1% accuracy.

SweepLED, built by KAIST with the National University of Singapore and Singapore Management University, clips 15 LEDs to a smartphone camera and sweeps multi-angle light while the phone films reflections. A spatio-temporal AI model compares LED-on and LED-off frames to distinguish lens reflections from glossy surfaces across three viewpoints. Testing on 30 objects, 12 with hidden cameras, achieved 93.9% accuracy handheld and 95.1% static. Core components cost under $7, targeting privacy checks in hotels and short-term rentals.

Help Net Security · 14d agoResearch1

Cops Search Thousands of Flock Cameras for Reasons of ‘LMAO,’ ‘IDK,’ ‘Hehe,’ and ‘asdfg’

EFF analysis found police searched Flock's 19,000-camera ALPR network using joke reasons like 'LMAO' and 'idk,' exposing routine warrantless surveillance abuse.

An EFF analysis of Flock audit logs, shared with 404 Media, found officers across dozens of jurisdictions searching over 19,000 cameras in 1,558 cities with justifications like 'LMAO,' 'idk,' and keyboard gibberish between 2023 and late 2025. One Lake County, Indiana sheriff's deputy searched for a license plate across the entire network citing 'LMAO.' After outlets exposed searches targeting ICE detainees, an abortion patient, and protesters, officers were reportedly told to be 'as vague as permissible,' and Flock replaced the free-text reason box with a prepopulated drop-down list, which EFF called a loss for transparency. Departments rarely disciplined offending officers, and EFF concluded agencies cannot oversee themselves.

404 Media · 2d agoPolicy & legal

Slovakia Warns of Cyber Risks in Road Speed Cameras

Slovakia's NBÚ warns that speed camera systems from SODASUS, Simicon and NEROline pose cyber risks including undocumented remote access.

Slovakia's National Security Authority (NBÚ) warned of a significant cyber threat tied to several road speed camera products: NERO R-ONE units sold by Cyprus-based SODASUS, and Cordon-series cameras made by Russia's Simicon and sold by Croatia's NEROline. A security analysis requested by the Interior Ministry found weak protections, mismatches between documented and actual communication settings and software versions, unclear hardware/software provenance, and pre-configured remote-access mechanisms outside operator control. NBÚ warned that compromised cameras could expose vehicle and licence-plate data, tamper with records, or serve as a foothold into public-sector networks lacking segmentation. The Interior Ministry reportedly removed the units from its pilot deployment and asked the supplier to replace them with equipment meeting Slovak and EU security requirements.

Security Affairs · 23d agoAdvisory

Project noRecognition: Teaching AI to Fool Surveillance Cameras

Security researcher Bill Swearingen's noRecognition project uses 31 million tested patterns to defeat license plate reader and surveillance camera AI detection.

Kansas City researcher Bill Swearingen built noRecognition, using reinforcement learning across roughly 31 million tests to generate printed patterns that break the detection layer of license plate readers and surveillance cameras. The strongest validated result achieved 61.7% non-detection against a detector taken from a real deployed camera, though most headline figures remain digital simulations. At DEF CON he covered a 2009 Toyota Yaris in a new pattern and reported it effective against a Flock Safety camera, with curved wheels the main weak point. He is crowdfunding apparel products and withholding his best patterns to prevent camera makers from blocking them.

Security Affairs · 29d agoAI safety & security

SimpleMemVLA: A Simple but Effective Native-Video Memory for Vision-Language-Action Models

SimpleMemVLA passes full timestamped video history straight to a VLA backbone, setting state of the art on four memory benchmarks.

SimpleMemVLA is a vision-language-action model for long-horizon manipulation that removes the dedicated memory module entirely. It keeps sampled history intact and feeds it to the backbone as timestamped video, with the hidden states of a generated sub-task serving as the only channel into a standard flow-matching action head. Prefilling the shared history prefix during action execution keeps latency close to a single-frame VLA. The system sets a new state of the art on four memory benchmarks and outperforms retrieval, compression and recurrent-state mechanisms, with causal interventions confirming the policy genuinely reads its history.

Hugging Face daily papers · 15d agoAI research

Few-Shot Learning for Network Intrusion Detection: Methods, Datasets, and Performance

A PRISMA-style review of 21 few-shot learning studies for network intrusion detection finds meta-learning and CNNs dominant and evaluation inconsistently reported.

The systematic review screened 1,358 records from ACM Digital Library, IEEE Xplore, and Scopus covering 2022-2026 and retained 21 studies on few-shot learning for network intrusion detection. Meta-learning (8 studies) and convolutional neural networks (10) are the most common approaches, while CIC-IDS2017 and CSE-CIC-IDS2018 are the most frequently used datasets. Most evaluations use five or fewer samples per class, and missing parameters and source code limit reproducibility and direct comparison.

arXiv cs.CR · 6d agoResearch1

Do Input-Level Defenses Transfer to Observation-Level Attacks on VideoLLMs?

A systematic study shows input-level adversarial defenses provide inconsistent, often near-zero protection against observation-level attacks on video LLMs.

Researchers introduce DefTEval, a controlled framework testing eleven input-level defenses against five attack types across five video LLMs. Harmful-content detection rates are frequently near zero, and defenses fail even when attacks embed harmful signals in every sampled frame. Token compression discards localized safety features and modality fusion down-weights weakened visual signals, with defense outcomes dominated by model architecture rather than the defense method.

arXiv cs.CR · 9d agoAI safety & security

[Control systems] GeoVision security advisory (AV26-913)

Canada's Cyber Centre (AV26-913) warns GeoVision GV-LPC2011/LPC2211 firmware 1.13 license-plate cameras are affected by vulnerabilities and urges updates.

The Canadian Centre for Cyber Security issued control-systems advisory AV26-913 on September 11, 2026, noting that GeoVision GV-LPC2011/LPC2211 firmware version 1.13 is affected by vulnerabilities. The bulletin references the vendor advisory GV-LPC-2026-09-01 but provides no CVE identifiers or exploitation details. Administrators are encouraged to review the linked advisories and apply updates as they become available.

Canadian Centre for Cyber Security · 5d agoAdvisory

Unisoc VoLTE Video Call Exploit Chain Can Give Attackers Full Android Kernel Access

Unisoc modem firmware flaw CWE-1189 allows VoLTE video call RCE chain to gain full Android kernel access on T606/T612/T7250 chipsets; no patch yet.

SSD Secure Disclosure published the second stage of an exploit chain, first disclosed in March 2026, that achieves full Android kernel access on Unisoc modem firmware via a VoLTE video call. The privilege-escalation flaw, classified as CWE-1189 (Improper Isolation of Shared Resources on System-on-a-Chip), exploits shared physical memory between modem and application processor with no hardware boundary, letting modem code map the entire 32-bit address space and modify Android kernel pages via ARM Memory Protection Unit registers. Confirmed affected chipsets include Unisoc T606 (Motorola E13), T612 (Realme C33), and T7250 (Xiaomi Redmi A5), sold across more than 140 countries. No CVE has been assigned, the August 2026 Android Security Bulletin does not address it, and Unisoc has not responded to researchers; exploitation requires an attacker-controlled private 4G network and a victim answering the call.

The Hacker News · Aug 17, 2026VulnerabilityCVE-2025-31718CVE-2022-20210

Why Is Video Still So Expensive? A Survey of Inference-Efficiency Mechanisms in Video and Audiovisual LLMs

A survey catalogs inference-efficiency techniques for video and audiovisual LLMs, mapping bottlenecks in sampling, encoding, token reduction, and LLM decoding.

This survey covers inference-efficiency mechanisms for visual and audiovisual video LLMs, reporting reductions in parameters, FLOPs, latency, memory, and token counts. It organizes methods by pipeline stage, covering frame sampling, modality encoding, connector-level token reduction, and LLM prefilling and decoding for systems built since late 2022. The authors compile accuracy-cost comparisons under shared host models and input protocols, identify gaps in audiovisual efficiency and standardized evaluation, and maintain a public repository.

Hugging Face daily papers · 8d agoAI research