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FIRST LOOK Google Chrome Shifts to Two-Week Release Cycle for Faster Security Patches // FIRST LOOK Trail of Bits Ships Coop: Isolated VMs for Claude Code and Codex // CRITICAL CVE-2026-81578: PaperCut Exploited by AI Agents at Scale // 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 //
CRYPTOGRAPHY

Cryptography

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OpenAI Astra Model Solves 10 Open Math and CS Problems

OpenAI Astra Model Solves 10 Open Math and CS Problems

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.8 Mistral AI (via HN)

An internal OpenAI model codenamed Astra has reportedly solved ten significant open problems in mathematics and computer science, signalling a step-change in AI-driven formal reasoning and proof generation. For defenders, this capability raises the stakes considerably: a model capable of resolving frontier research problems can likely also automate the discovery and formalisation of novel software vulnerabilities, cryptographic weaknesses, and algorithm exploits. Security teams should anticipate a near-term acceleration in adversarial research tooling and re-evaluate assumptions about the human effort required to weaponise theoretical vulnerabilities.

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.

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