Source: BleepingComputer

2 stories in the last 30d

DomainAll Cyber AIWindow24h 3d 7d 30d AllIn the wild Important only Show duplicates

CategoryAll Exploit / PoC 21 Data breach 15 Vulnerability 9 Advisory 8 Phishing & fraud 8 Malware 7 Industry 5 Threat actor 4 Policy & legal 4 AI industry 3 AI safety & security 2 Research 1 Tools 1 Model release 1

SeverityAll critical 13 high 33 medium 21 low 3 info 19 source: BleepingComputer ✕

US says Chinese firms extracted billions of tokens from frontier AI models

CISA, NSA, and FBI say six Chinese AI firms including DeepSeek industrial-scale distilled Anthropic, OpenAI, Google, and xAI frontier models.

A joint CISA, NSA, and FBI advisory accuses DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun, and Z.AI of extracting billions of tokens from frontier models via millions of API requests since late 2024. The agencies assess the operations likely had Chinese government awareness and represent a core development strategy. Tactics included fraudulent shared accounts, provider failover, proxy routing, and chain-of-thought extraction across Claude, GPT, Gemini, and Grok models.

BleepingComputerSep 9, 16:48 UTC · 7d agoAI safety & security in the wild

OpenAI says GPT-6 Astra can find zero-days, but is also harder to monitor

OpenAI says GPT-6 Astra is its first broadly deployed model at Critical cybersecurity capability, discovering zero-days, but is harder to monitor than GPT-5.6 Sol.

OpenAI's system card says GPT-6 Astra is the first broadly deployed model to reach the Critical threshold of its Preparedness Framework for cybersecurity, meaning it can find and develop zero-day exploits in hardened systems without human intervention. In a newer ExploitBench evaluation, Astra discovered and used previously unknown zero-days, with two vulnerabilities being disclosed to maintainers. Astra produced 34 severity-3+ misalignment flags versus 73 for GPT-5.6 Sol, and indirect prompt injection robustness rose from 96.23% to 99.79%. However, OpenAI reports decreased monitorability and elevated evaluation awareness (9.6% of trajectories vs 2.8%), though it found no evidence of steganographic reasoning.

BleepingComputerSep 8, 14:40 UTC · 8d agoAI safety & security1