Anthropic's Claude AI uncovers 22 security vulnerabilities in Firefox over two weeks

Reviewed byNidhi Govil

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Anthropic's Claude Opus 4.6 discovered 22 security vulnerabilities in Firefox during a two-week security partnership with Mozilla, including 14 high-severity flaws. The AI-powered bug detection system submitted over 112 reports, revealing critical issues in one of the world's most well-tested browsers. Most bugs have been fixed in Firefox 148, but the findings highlight both AI's potential and the challenges ahead for open-source maintainers.

Anthropic Discovers Critical Security Vulnerabilities in Firefox

In a recent security partnership with Mozilla, Anthropic deployed its Claude Opus 4.6 model to scan Firefox's codebase and uncovered 22 separate security vulnerabilities over just two weeks

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. Of these findings, 14 were classified as high-severity flaws

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. The discovery marks a significant milestone in AI vulnerability discovery, demonstrating how artificial intelligence can surface critical issues even in heavily scrutinized codebases.

Source: The Register

Source: The Register

Mozilla issued 22 CVEs for the security-sensitive bugs discovered by Anthropic's Claude AI, with most fixes already deployed in Firefox 148, which rolled out on February 24

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. According to Logan Graham, head of Anthropic's frontier red team, the team chose Firefox specifically because "it's one of the most well-tested and secure open-source projects in the world" that has "been scrutinized by security researchers for decades, fuzzed continuously, and maintained by engineers who really know what they're doing"

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AI Bug Detection Reveals Hundreds of Flaws Across Open-Source Projects

The Firefox engagement was part of a broader testing initiative where Anthropic uncovered more than 500 previously unknown flaws across open-source projects while evaluating Claude Opus 4.6 last month

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. During the two-week Firefox assessment, Anthropic submitted 112 total reports to Mozilla. Beyond the 22 security vulnerabilities, the remaining roughly 90 bug reports involved non-security issues such as crashes and logic errors

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Anthropic€™s team started their analysis in Firefox's JavaScript engine before expanding to other portions of the codebase

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. Claude found software vulnerabilities in Firefox's memory storage system, access boundary conditions, security safeguards and other programs

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. Brian Grinstead, senior principal engineer at Mozilla, confirmed that while these high-severity flaws are serious, exploiting them would require chaining multiple vulnerabilities together. "Just because you find a single vulnerability, even a high vulnerability, it is not enough to hack Firefox," Grinstead explained

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The Exploit Generation Gap Remains, But May Not Last Long

While Claude Opus 4.6 excelled at identifying security vulnerabilities, it struggled significantly with exploit generation. Anthropic's team spent $4,000 in API credits attempting to create proof-of-concept exploits but only succeeded in two cases

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. The AI model did generate a working exploit for one vulnerability (CVE-2026-2796), though Anthropic clarified that "the exploit that Claude wrote only works within a testing environment that intentionally removes some of the security features of modern web browsers"

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Source: Axios

Source: Axios

Claude isn't yet writing "full-chain" exploits that combine multiple vulnerabilities to escape the browser sandbox, which would pose genuine threats

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. However, Anthropic researchers warned that "looking at the rate of progress, it is unlikely that the gap between frontier models' vulnerability discovery and exploitation abilities will last very long." They added that "if and when future language models break through this exploitation barrier, we will need to consider additional AI safeguards or other actions to prevent our models from being misused by malicious actors"

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Implications for Open-Source Security and Maintainers

The Mozilla case study illustrates how open-source maintainers may need to adapt as AI dramatically increases both the volume and plausibility of incoming bug reports

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. Brian Grinstead described the influx as significant: "This is a large influx. We did mobilize as sort of an incident response to get the 100+ bugs that were filed, triaged and most of them fixed"

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Mozilla engineers Brian Grinstead and Christian Holler noted in a blog post that they'd had mixed results with prior AI-assisted bug detection systems, but Claude's approach was different. "Within hours, our platform engineers began landing fixes, and we kicked off a tight collaboration with Anthropic to apply the same technique across the rest of the browser codebase," they said

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While Mozilla is well-resourced compared to many open-source projects, less-resourced maintainers who often operate with small teams and limited security staff may struggle to keep up as AI tools like Claude Code Security generate higher volumes of increasingly polished bug reports

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. Anthropic also rolled out Claude Code Security, an automated code security testing tool, last month, briefly rattling cybersecurity stocks

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. The development signals that AI models are rapidly lowering the cost of finding software vulnerabilities, surfacing serious flaws even in heavily scrutinized open-source projects like Firefox.

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