LIVE FEED
CRITICAL Grok Data Exfiltration via Cryptographic Context Injection // FIRST LOOK Anthropic Claude Opus 4.6 Reveals Persistent Jailbreak Gaps in API // HIGH Encrypted Prompts Bypass Safety Guardrails in Grok and Gemini // HIGH RedC2 4.0 AI-Assisted Backdoor Hidden in npm Packages // CRITICAL AI-Generated Scripts Exploit Siemens S7 PLCs in US Infrastructure // FIRST LOOK CUSTODY Framework Ships to Constrain AI Agents in Enterprise Networks // FIRST LOOK OpenAI Launches Private Safety Processing for Zero-Data Monitoring // FIRST LOOK smolvm Brings Hardware-Isolated Sandboxing for AI Code Execution // FIRST LOOK OpenAI Adds Mandatory RL Training Safeguards for Frontier Models // HIGH AI Mind Viruses Spread Between Agents via Prompt Files //
AI-ASSISTED-HACKING

Ai-Assisted-Hacking

2 reports
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LLMs Break Cryptographic Schemes in New CryptanalysisBench Study

LLMs Break Cryptographic Schemes in New CryptanalysisBench Study

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Schneier on Security

A new benchmark, CryptanalysisBench, demonstrates that frontier LLMs can perform meaningful cryptanalysis, breaking 65–86% of schemes with known practical vulnerabilities and producing novel attacks against previously unbroken primitives. Anthropic's Mythos Preview model uncovered new vulnerabilities in the Hawk signature scheme and reduced-round AES, representing the first AI-discovered cryptanalytic results of this kind. This signals a near-term shift in the threat landscape where AI-assisted cryptanalysis may begin to outpace human expert analysis.

CVE-2026-5194: Anthropic Claude Discovers 10,000+ Flaws

CVE-2026-5194: Anthropic Claude Discovers 10,000+ Flaws

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 The Hacker News

Anthropic's Project Glasswing has deployed Claude Mythos Preview — a frontier AI model — to autonomously discover over 10,000 high- and critical-severity vulnerabilities across widely used open-source software, with 1,094 confirmed as valid high/critical flaws. The initiative highlights a growing asymmetry: AI is accelerating vulnerability discovery far faster than the security community can remediate, compressing patch windows and raising the stakes for defenders. Anthropic is now urging shorter patch cycles and hardened defaults, warning that comparable offensive capabilities could soon be broadly accessible to threat actors.

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