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HIGH Hermes AI Agent Automates Post-Exploitation Attack on Thai Finance Ministry // FIRST LOOK Google Gemma Tech Brings 28.9M LLM to ESP32 Microcontrollers // HIGH AI Coding Agents Exploited via Hallucinated Package Names // FIRST LOOK AWS Adds Bedrock Guardrails Best Practices for Code Generation // FIRST LOOK Anthropic Brings Voice Mode to Claude Opus and Sonnet Models // FIRST LOOK Anthropic and OpenAI Open Vetted Cyber Programs for Offensive Researchers // HIGH Threat Actor Trim Weaponises AI Jailbreaks for Offensive Ops // HIGH Fake Claude App via Bing Ads Delivers SectopRAT Malware // HIGH Dolphin X RAT Uses AI Profiler to Rank and Score Victims // CRITICAL CVE-2026-46331: Claude Cowork VM Sandbox Escape on macOS //
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OpenAI Releases GPT-5.6 Sol for Vulnerability Research

OpenAI Releases GPT-5.6 Sol for Vulnerability Research

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 The Hacker News

OpenAI has released a limited preview of GPT-5.6 Sol, Terra, and Luna to select partners, positioning Sol as its most capable model for vulnerability research and exploit chain development, benchmarked against real-world hardened targets via an internal framework called VulnLMP. The model's demonstrated ability to produce credible memory safety leads and automate substantial portions of vulnerability research pipelines materially lowers the barrier for both defenders and adversaries. Security teams should expect accelerated attacker timelines for exploit development and increased pressure on detection and patch-deployment cadences.

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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