Friday, April 24, 2026

Anthropic Mythos Found 271 Vulnerabilities in Firefox

Anthropic Mythos Found 271 Vulnerabilities in Firefox

Mozilla announced that it proactively identified and fixed a total of 271 security vulnerabilities in Firefox using the Claude Mythos Preview model developed by Anthropic. This development is significant as it provides concrete data on the ongoing discussions about the role of artificial intelligence in cybersecurity.

Anthropic's Mythos model, recently announced and made available only to a limited number of critical sector partners, stood out particularly for its ability to analyze vulnerabilities. However, these claims were met with both excitement and skepticism in the tech world. The data shared by Mozilla, however, revealed the practical difference this model made.

Accelerated Analyses That Would Take Months

According to Mozilla's statement, Mythos analyzed the source code of the yet-to-be-released Firefox 150 version and uncovered hundreds of potential security vulnerabilities. The company emphasized that these vulnerabilities could actually be found through traditional "fuzzing" methods or by high-level security researchers, but this would often take months.

On the other hand, Mozilla did not share a detailed classification of the nature of the vulnerabilities found by Mythos. However, it should be noted that Anthropic's previous model, Opus 4.6, detected only 22 vulnerabilities in its analysis of Firefox 148.

Mozilla's assessments do not indicate that artificial intelligence currently surpasses human experts. The company specifically emphasizes that the vulnerabilities found by Mythos could also be detected by humans if sufficient time and resources were allocated. This situation reveals that AI does not yet offer "superhuman" security analysis but significantly accelerates processes.

Furthermore, this development also brings with it the discussion that artificial intelligence can be a double-edged sword in cybersecurity. There is also the risk that if the same tools are used by malicious actors, vulnerabilities could be exploited more quickly.

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