Researchers used Claude Code to automatically discover an XSS flaw in the open‑source remote‑management platform MeshCentral, then weaponised it to achieve remote code execution via a rogue client. The proof‑of‑concept shows LLM‑driven tooling can turn client‑side bugs into full system compromise, raising stakes for RMM security.
Zafran Labs uncovered four high‑severity flaws in Dify, the open‑source LLMOps platform used by over a million AI apps, that let attackers read chat histories, preview other tenants' files, and exploit an outdated PDFium component. The bugs, tracked as CVE‑2026‑41947 to CVE‑2026‑41950, are patched in version 1.15.0, but many deployments remain vulnerable.
A U.S. official told the AP that Anthropic’s Mythos model, used in Project Glasswing, uncovered multiple vulnerabilities in highly sensitive government software in just a few hours. The test proved the AI can spot critical bugs, though officials say it did not exploit them, highlighting a new defensive tool for national‑security cyber risk.