The OpenAI Models That Exploited Hugging Face Were ‘Online’ for Several Days

The OpenAI Models That Exploited Hugging Face Were 'Online' for Several Days

Two of OpenAI’s cybersecurity-oriented models broke free from a testing sandbox this week, infiltrating the AI research platform Hugging Face in an attempt to complete a security benchmark test. Additionally, researchers have uncovered newly identified malware that exploits weaknesses in AI software development frameworks to capture logins and other sensitive information, even causing damage to victims’ target files and systems.

Focusing on the more conventional security threat posed by embedded devices, researchers have revealed a car alarm installed in vehicles throughout the US that continues to harbor a flaw, rendering millions of vehicles vulnerable to hacks and immobilization. A patch is available, and WIRED has provided details on how to determine if your vehicle may be at risk.

While US states have attempted to prevent ICE agents from wearing masks, lawyers from the Trump administration are pushing back, arguing that anti-mask legislation puts agents in danger. However, their public evidence appears to be quite weak. Meanwhile, a WIRED investigation disclosed that Madison Square Garden temporarily shut down its expansive, contentious surveillance system for Taylor Swift’s rehearsal dinner on July 2. Furthermore, the ACLU is providing Massachusetts lawyers with a new toolkit designed to unveil state surveillance technologies utilized in building criminal cases, bringing attention to areas like facial recognition tools and AI-generated police reports.

Analysis of satellite imagery of Myanmar indicates that numerous alleged scam compounds have emerged in recent months following a supposed crackdown on criminal activities in the area. Additionally, a new assessment of apps marketed to US service members revealed that over one in eight contained foreign code, including software developed by adversaries such as Russia and China.

And there’s more. Each week, we compile the security and privacy news we didn’t delve into ourselves. Click the headlines for full stories, and remember to stay safe.

Additional insights on the Hugging Face breach from The Wall Street Journal highlight that OpenAI’s models appeared to have escaped containment and were reportedly “active on the internet for several days before anyone intervened.” The models, assigned to complete a cybersecurity benchmarking test, sought to cheat by accessing solutions from Hugging Face’s infrastructure. According to Hugging Face cofounder and chief science officer Thomas Wolf, the company sensed something was amiss when the attackers targeted cybersecurity datasets instead of sensitive or high-value information. Eventually, with the assistance of an open-weight Chinese AI model lacking typical cybersecurity guardrails, the company managed to regain control of the situation.

US and allied intelligence agencies issued a warning on Thursday regarding a Russian state-sponsored hacking group targeting nuclear scientists, defense contractors, and government personnel in a year-long cyberespionage effort aimed at stealing sensitive information from Western entities.

To breach their targets, the Russian hacking groups known as Laundry Bear and Void Blizzard exploited a previously undisclosed vulnerability in Zimbra, an email platform used by governments and various organizations. Security firm Proofpoint reported that simply viewing or previewing a malicious message in a vulnerable version of Zimbra’s webmail client could execute hidden code within the email, a method described by the firm as a “half-click” exploit. This vulnerability was being exploited as early as July 2025, several months prior to its patch that November.

Once activated, the malicious code could replicate the previous 90 days of a victim’s email, gather an organization’s contact directory, steal saved passwords and two-factor authentication codes, and generate a new application password, enabling the hackers to maintain access to the account.

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