LIVE FEED
Firefox Vulnerabilities Discovered via AI-Assisted Fuzzing

Firefox Vulnerabilities Discovered via AI-Assisted Fuzzing

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Simon Willison

Mozilla used early access to Anthropic's Claude Mythos model to systematically discover and patch hundreds of previously unknown vulnerabilities in Firefox, including bugs over 15–20 years old. The effort demonstrates a step-change in AI-assisted vulnerability research, with April 2026 seeing 423 security fixes compared to a monthly baseline of 20–30. The same capability that empowered Mozilla's defenders also signals that adversaries with similar model access could industrialise exploit discovery against open-source software at scale.

Firefox: 271 Vulnerabilities Found via AI-Assisted Discovery

Firefox: 271 Vulnerabilities Found via AI-Assisted Discovery

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 7.2 Simon Willison

Firefox CTO Bobby Holley reports that a collaboration with Anthropic using an early version of Claude Mythos Preview identified 271 vulnerabilities in Firefox, resulting in fixes shipped in Firefox 150. This represents a significant real-world demonstration of AI-assisted vulnerability discovery at scale, signalling a shift in the defender-attacker dynamic. The findings suggest LLMs are becoming operationally viable tools for large-scale code security auditing.

◉ AI THREAT BRIEFING

Stay ahead of the threat.

Twice-weekly digest of critical AI security developments — every story mapped to MITRE ATLAS and OWASP LLM Top 10. Free.

No spam. Unsubscribe anytime.