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CybersecurityAI-assisted

Claude AI Uncovers 22 Firefox Vulnerabilities in Two Weeks

Artificial intelligence models are increasingly advancing in their capabilities, transitioning from coding assistants to autonomous vulnerability researchers. Recently, Anthropic's Claude Opus 4.6 identified over 500 zero-day vulnerabilities in…

HBy Hazel CaldwellMar 07, 20262 min read

Artificial intelligence models are increasingly advancing in their capabilities, transitioning from coding assistants to autonomous vulnerability researchers. Recently, Anthropic's Claude Opus 4.6 identified over 500 zero-day vulnerabilities in open-source projects.

During a collaborative project with Mozilla in February 2026, the AI model detected 22 unique security flaws in the Firefox web browser. Mozilla classified 14 of these as high-severity vulnerabilities, constituting nearly 20% of the high-severity Firefox flaws remediated the previous year.

All confirmed vulnerabilities were promptly addressed and patched in the Firefox 148.0 release, enhancing security for millions of daily users.

Researchers tested Claude Opus 4.6 on the Firefox repository, focusing on the browser's JavaScript engine due to its extensive attack surface. Within twenty minutes, the AI identified a Use After Free vulnerability, a memory issue that enables data corruption with malicious payloads.

Following this discovery, Claude scanned approximately 6,000 C++ files, submitting 112 unique bug reports to Mozilla's Bugzilla issue tracker.

Vulnerability Details Component Security Impact Remediation Status

Recently, Anthropic's Claude Opus 4.6 identified over 500 zero-day vulnerabilities in open-source projects.
Hazel Caldwell · Thehackingpost

Use After Free (Zero-Day) JavaScript Engine Allows arbitrary code execution via memory corruption Patched in Firefox 148.0

High-Severity Flaws (14) Core C++ Files Requires immediate intervention Patched in Firefox 148.0

Moderate-Severity Flaws (8) Browser Subsystems Limited exploitation potential Slated for upcoming releases

Although Claude excels at discovering vulnerabilities, its ability to weaponize them is limited. Attempts to develop functional exploits resulted in success only twice, requiring a testing environment with the browser sandbox disabled.

The need for developers to strengthen software defenses is increasing as AI models continue to improve. AI remains more effective at finding vulnerabilities than creating exploits, maintaining an advantage for defenders.

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With the release of Claude Code Security, advanced vulnerability discovery and patching tools are now available to customers and open-source maintainers.

To counter AI-generated vulnerabilities, security researchers must implement new verification workflows, including automated methods that enable AI to self-check its work.

Key requirements for AI-generated vulnerability reports include:

Minimal test cases to demonstrate trigger conditions. Detailed proofs-of-concept for exploitation vectors. AI-generated and validated candidate patches. Automated test suites to ensure no software regressions.

Based on reporting by Cyber Security News.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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