<?xml version="1.0" encoding="utf-8"?><rss version="2.0"><channel><title>ctxsec: AI</title><link>https://ctxsec.com</link><description>context security: attacks on the harness and context layer of AI agents, plus exploited-now news, hunting and playbooks.</description><item><title>XBOW: AI-assisted Chrome full-chain (6 days) earns Google&#x27;s first $250k 2026 VRP award</title><link>https://ctxsec.com/ai#xbow-chrome-fullchain-2026-10</link><guid>https://ctxsec.com/ai#xbow-chrome-fullchain-2026-10</guid><pubDate>Tue, 13 Oct 2026 00:00:00 +0000</pubDate><category>confirmed (author&#x27;s post)</category><description>XBOW published that researchers plus AI agents (OpenAI GPT-5.6 Sol) built a three-bug Chrome→Windows full-chain in six days (Aug 2–7), winning Google&#x27;s first $250,000 Chrome full-chain VRP under 2026 rules. Chain crossed V8 sandbox and renderer sandbox; bugs were reported, fixed, and never used against users. XBOW estimates ~$40k API compute. Caveat: this is a responsible-disclosure research write-up, not an in-the-wild campaign — keep Chrome updated and relaunch after updates.</description></item><item><title>Agentic Bug Hunter (community bug-bounty toolkit)</title><link>https://ctxsec.com/ai#agentic-bug-hunter</link><guid>https://ctxsec.com/ai#agentic-bug-hunter</guid><pubDate>Tue, 13 Oct 2026 00:00:00 +0000</pubDate><category>tool, community</category><description>Built around Claude Code: recon, known-CVE scanning and attack-surface ranking. Caveats: third-party community project, not audited by us; needs Claude Code or API access and won&#x27;t run fully on local models without changes; only point it at targets you&#x27;re authorized to test.</description></item><item><title>GitHub Security Lab Fuzzing Taskflow</title><link>https://ctxsec.com/ai#fuzzing-taskflow</link><guid>https://ctxsec.com/ai#fuzzing-taskflow</guid><pubDate>Sun, 11 Oct 2026 00:00:00 +0000</pubDate><category>tool</category><description>Open-source taskflows for the seclab-taskflow-agent framework that use an LLM to plan, build and triage fuzzing harnesses. Caveats: needs model API access and real compute; LLM-written harnesses still need human review, and crashes are not vulnerabilities until triaged.</description></item></channel></rss>