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Open-weight model GLM 5.3 built full Firefox exploit chains with zero human input in under 48 hours

Epoch AI researchers demonstrated that GLM 5.3 can autonomously exploit Firefox vulnerabilities without human intervention. The model identified and chained multiple flaws across six versions of the browser released between September 17 and October 26.

Published 30 October 2026 · ID 2026-10-30-open-weight-model-glm-5-3-built-full-firefox-exploit-chains-with-zero-human-inpu
Open-weight model GLM 5.3 built full Firefox exploit chains with zero human input in under 48 hours

The open-weight model GLM 5.3 has demonstrated the ability to construct complete exploit chains for Firefox without any human input, achieving this in under 48 hours. This capability was uncovered by Epoch AI researchers, who tested the model's performance on multiple versions of the browser. The findings highlight a significant concern regarding the potential misuse of large language models in cybersecurity contexts.

Epoch AI researchers found that GLM 5.3 can autonomously identify and exploit vulnerabilities in Firefox. The model was able to bypass browser protections and read local files by chaining multiple flaws, including a previously unpublished vulnerability. This was achieved without any human intervention, raising concerns about the security implications of such models being widely available.

The model exploited this gap across six Firefox versions released between September 17 and October 26. The research indicates that GLM 5.3 can identify disguised security fixes and chain vulnerabilities to bypass protections. This capability was demonstrated within a short timeframe, underscoring the rapid pace at which AI models can uncover and exploit software weaknesses.

The implications of this research extend to the broader cybersecurity landscape, where the use of AI models like GLM 5.3 could lead to increased costs for security audits, heightened risks of vendor lock-in, and challenges in governance. Organizations may need to reassess their security protocols and investment strategies in light of these findings, as the potential for automated exploit generation becomes more prevalent.

As the capabilities of AI models continue to evolve, the cybersecurity industry must adapt to mitigate risks associated with automated exploit generation. The findings from Epoch AI's research serve as a wake-up call for developers and security professionals to enhance their defenses and ensure that AI tools are used responsibly. The balance between innovation and security will be crucial in the coming years.

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