Researchers tested 31 million patterns to disrupt surveillance AI, with promising results but significant gaps between simulation and real-world use. The Kansas City-based cybersecurity researcher Bill Swearingen spent the past year doing something that sounds almost too simple to work: printing patterns, watching cameras fail to detect them, and repeating. TechCrunch reports that after roughly 31 million tests, he can now generate patterns on demand that block license plate readers and surveillance cameras from recognizing whatever the pattern covers, whether that’s a person or a vehicle. The project is called noRecognition, and the core idea isn’t stealth in the traditional sense. The camera still records everything just fine. What breaks is the detection layer sitting on top of the footage, the software that flags license plates, tracks faces, or spots “activity of interest” across thousands of hours of video. Swearingen’s patterns don’t hide you from the lens; they make the algorithm looking through that lens shrug and move on. Swearingen, co-founder of the SecKC meetup, said his project started for personal reasons. He became concerned about the growing number of surveillance cameras in his town and the possibility of being tracked while attending a protest. What started as a simple experiment later became a reinforcement learning system. He taught the model to create patterns, learn from failures and keep improving. Over time, it learned how to avoid detection by several camera systems. Every time a pattern failed and got detected, the system adjusted and tried again, eventually learning to defeat multiple detection algorithms simultaneously rather than just one at a time. The research dashboard behind the project, published at sandbox.norecognition.org, goes considerably deeper into the numbers than the headline claim suggests, and it’s refreshingly upfront about what’s proven versus what isn’t. The team states its overall objective plainly as “one pattern that defeats every detector,” and by their own account that goal remains only partially met. Their strongest validated result against a detector extracted directly from a real deployed surveillance camera sits at 61.7% non-detection across held-out test subjects, a solid number, but nowhere near total, and still a digital simulation rather than a real-world fabric test. That distinction matters more than it might seem. Most of the dashboard’s headline figures are explicitly labeled as digital, simulated results, meaning the pattern was tested against a virtual camera and printed ink model rather than an actual garment photographed by an actual camera in the field. The gap between “works in simulation” and “works when Donut Media wraps a real 2009 Toyota Yaris in it,” which is the physical test Swearingen ran live at DEF CON, is exactly the gap this kind of research has to close before anyone should treat it as a reliable, everyday privacy tool. “On Friday at the Def Con cybersecurity conference in Las Vegas, Swearingen ran his first real-world test. With help from Donut Media, the test involved covering a 2009 Toyota Yaris with one of Swearingen’s newest patterns to see if the car would be invisible to detection by a Flock camera.” reports TechCrunch. “We proved it was effective,” said Swearingen, though the wheels were a challenge. The video of the demo will be out in the next few weeks, said Donut Media.” That DEF CON demo is where things got concrete. Swearingen covered a car in one of his newest patterns and tested it against a Flock Safety camera, the kind widely deployed for automated license plate reading across the US. He said the test proved effective, though the vehicle’s wheels turned out to be a persistent weak point, curved surfaces apparently don’t cooperate with flat printed patterns the way a car door does. Source Tech Crunch – A photo of a 2009 Toyota Yaris at the Def Con conference in Las Vegas, covered in a pattern made by Bill Swearingen, as part of a test to see if it can defeat surveillance camera detection. Image Credits:Bill Swearingen / Donut Media Swearingen is not publishing his best patterns because he does not want camera makers to easily find and block them. Instead, he is using crowdfunding to develop and sell printed products such as T-shirts and hoodies, with vehicle wraps possibly coming later. It is still unclear whether the project will become a practical privacy tool for everyday users or remain mainly a DEF CON demonstration. Its real effectiveness will depend on how well the patterns work on real clothing, in different weather and camera conditions. Follow me on Twitter: @securityaffairs and Facebook and Mastodon Pierluigi Paganini (SecurityAffairs – hacking, Surveillance camera)
Pokémon Center is notifying customers in the United Kingdom and Germany that it suffered a third-party data breach after hackers stole customer personal and order information from third-party logistics provider CEVA Logistics. While CEVA's systems were compromised in the cyberattack, the exposed records belonged to Pokémon Center customers who submitted orders on the site. The company then shared this information with the logistics provider to fulfill and ship PokemonCenter.com orders. CEVA Logistics is a subsidiary of the CMA CGM Group, the world's third-largest shipping company. The logistics provider operates 1,000 warehouses, handled 15 million shipments last year, and reported $18.3 billion in revenue in 2025. The company recently suffered a cyberattack in which attackers breached its servers between July 29 and August 1, affecting multiple retailers in Europe.
The French Ministry of the Economy and Finance has disclosed a data breach after an attacker accessed the General Directorate of Public Finances (DGFiP) systems and stole data belonging to 678,000 individuals. This incident was discovered after a threat actor using the "ZeroBytes" handle claimed the attack and listed a stolen database for sale on August 12 on the PwnForums hacking forum. "The in-depth investigations conducted since August 12, 2026, have established that, prior to their interruption, these access points had been used to consult and extract data concerning a total of 678,000 individuals and professionals, including tax data such as reference tax income, family quotient, and withholding tax rate, and, for businesses, data such as their company name and SIREN number," the French Finance Ministry said.
GitLab has released security updates to address a critical vulnerability impacting its Community Edition (CE) and Enterprise Edition (EE) software that, under certain conditions, could allow an unauthenticated attacker to remotely modify or delete public projects and user data. The flaw, tracked as CVE-2026-19478, has been rated Critical by GitLab and assigned a CVSS score of 9.4. Released on
Cryptocurrency hardware wallet provider SafePal is warning of a data breach affecting about 39,798 customers after a flaw was exploited to steal customer order information, and a threat actor is now claiming to be selling the stolen data. SafePal says the breach impacts customers who placed orders between March 2, 2025, and April 11, 2026, exposing their names, email addresses, shipping addresses, phone numbers, and purchase information. The company says the breach did not expose customers' wallet seed phrases, private keys, passwords, bank account information, payment card numbers, government-issued identification numbers, or other credentials. "No evidence has been found that the incident itself compromised access to SafePal wallets or funds," SafePal said in a security advisory published Sunday.
Claude is experiencing a major outage, with users reporting login problems and degraded performance across several Anthropic services. The incident began on August 16, 2026, at around 21:58 UTC, and is affecting Claude.ai, Claude Code, and Claude Cowork. According to Anthropic’s status page, the company first said it was investigating an issue preventing some users from authenticating to Claude.ai, Claude Code, and Claude Cowork. A few minutes later, Anthropic reported a broader service disruption involving degraded performance on Claude.ai and platform.claude.com. For users, the outage can result in problems signing in, Claude failing to load, requests not completing, or other errors when using the affected services. Anthropic’s status page currently classifies Claude.ai, Claude Code, and Claude Cowork as experiencing a major outage. Claude Console and the Claude API are currently listed as operational.
The ShinyHunters extortion group stole personal information from 1.6 million RingCentral accounts after hacking the company in July, according to the data breach notification service Have I Been Pwned. RingCentral is a cloud-based collaboration and communication platform used by over 600,000 businesses for services such as calling, messaging, and voicemail. The company disclosed the incident on July 28, revealing that its systems were compromised following what it described as a "sophisticated social engineering campaign." "We have not seen any new unauthorized activity since taking these remediation efforts. To date, this incident has affected data for a limited portion of RingCentral customers, and we are communicating with affected customers directly," it noted. "If you are not contacted by RingCentral, you are not affected. This incident did not impact the core RingCentral platform, and our services continue to operate without disruption."
Hardware wallet manufacturer Trezor disclosed a data breach affecting nearly 14,000 of its customers after ShipMonk, its shipping and logistics provider, was hacked. During the incident, the attackers gained access to customers' order data, including their full names, shipping addresses, email addresses, and phone numbers. As the company explained in a Thursday blog post, the resulting data breach affects customers from the United States, the United Kingdom, Sweden, Colombia, Brazil, Italy, and Portugal who received orders between May 10th and August 8th, 2026. "On Monday, August 10, 2026, one of our shipping providers, ShipMonk, informed us of unauthorized access to their systems containing customer data," Trezor said. "The incident affects 11,742 customers with full exposure (name, email, phone number, shipping address) and 1,947 customers with partial exposure (name, city, email)."
A new Android NFC relay malware called WindRelay is being used alongside the SpyNote remote administration tool (RAT) to steal card data and send it to attackers in real time. In an incident investigated by the cybersecurity company Group-IB, a fraudster impersonated a bank employee and called the victim under the pretense of a problem with their payment card. During the call, the threat actor instructed the victim to sideload the SpyNote RAT disguised as a legitimate app and grant it Accessibility Service permissions, giving the attacker remote access to the Android device. To add credibility, the attacker personalized the malicious app label with the victim's name. After gaining remote access to the device through SpyNote, the attacker installed WindRelay without further interaction with the victim and used the banking app to take out a loan in the victim’s name.
A newly disclosed flaw in the way OpenAI, Anthropic, and Google carried hidden AI reasoning between API calls let researchers recover internal reasoning and secrets from session logs, including API keys and passwords. The weakness affected encrypted reasoning objects used by the providers' reasoning APIs, where a block created in one session could be replayed into another and, during testing,
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