LIVE FEED
FIRST LOOK arXiv Research Introduces Self-Evolving Procedural Graphs for LLM Agents // HIGH Chinese AI Firms Accused of Distilling OpenAI and Anthropic Models // HIGH Workflow Identity Hijacking Targets Enterprise AI Data Access // CRITICAL AI-Accelerated WeChat Zero-Click Worm Spreads via RCE // FIRST LOOK Microsoft Uses AI to Ship Record 974-Vulnerability Patch Batch // FIRST LOOK Meta Launches Muse Personal AI Agent with Secure VM Isolation // CRITICAL ChatGPT Cross-Account Data Leakage via Sandbox Channel // HIGH Hidden Prompt Injection Attacks Hijack Autonomous AI Agents // FIRST LOOK Schneier and Raghavan Frame AI Agent Risk as a Genie Problem // HIGH ChatGPT Prompt Injection Exfiltrates Gmail Data via Hidden Channel //
MODEL-DISTILLATION

Model-Distillation

3 reports
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Chinese AI Firms Accused of Distilling OpenAI and Anthropic Models

Chinese AI Firms Accused of Distilling OpenAI and Anthropic Models

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 Dark Reading

US government agencies allege that Chinese AI companies covertly extracted billions of tokens from leading frontier models — including OpenAI, Anthropic, Google Gemini, and Grok — to build competing systems at reduced cost. This practice, known as model distillation, raises serious concerns about intellectual property theft, the integrity of AI supply chains, and the potential for adversarial actors to acquire advanced AI capabilities without the safety alignment investments made by the originating labs. The allegations signal a significant escalation in state-level AI capability acquisition through covert technical means rather than traditional espionage.

OpenAI, Anthropic, Google APIs Let Weaker Models Steal Reasoning

OpenAI, Anthropic, Google APIs Let Weaker Models Steal Reasoning

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 9.2 The Hacker News

Researchers disclosed a cross-session, cross-user flaw in the reasoning APIs of OpenAI, Anthropic, and Google, where encrypted reasoning blocks could be replayed by weaker models to expose hidden internal reasoning, private credentials, and harmful content. Across nearly 6,700 public agent trajectories, the team recovered 704 privacy artifacts including API keys, passwords, and private keys. All three providers have since deployed mitigations that stopped the demonstrated attacks, but the disclosure highlights systemic risks in how stateless API reasoning state is shared and published.

Claude Fable 5 Prompt Injection Jailbreak Resistance

Claude Fable 5 Prompt Injection Jailbreak Resistance

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.8 The Hacker News

Anthropic has released Claude Fable 5 with a classifier-based safety layer that routes flagged offensive cyber, bio, and model-distillation requests to a weaker fallback model, while reserving full capabilities in a twin model (Mythos 5) for vetted defenders. The architecture represents a novel approach to dual-use AI risk mitigation but introduces measurable false-positive friction and raises questions about the robustness of classifier-only defences. An external bug bounty of over 1,000 hours found no universal jailbreak, though the conservative tuning and <5% fallback rate leave open questions about real-world bypass rates under adversarial pressure.

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