Anthropic’s Alarming Mythos Findings Replicated With Off-the-Shelf AI, Researchers Say

Kripto dünyasındaki son gelişmelere göre, Anthropic’s Alarming Mythos Findings Replicated With Off-the-Shelf AI, Researchers Say Price data by News Artificial Intelligence Anthropic’s Alarming Mythos Findings Replicated With Off-the-Shelf AI, Researchers Say Security researchers used GPT-5. 6 in an open-source harness to reproduce Anthropic's Mythos vulnerability findings for under $30 per scan. By Jose Antonio Lanz Edited by Guillermo Jimenez Apr 17, 2026 Apr 17, 2026 4 min read AI models.

Image: /Shutterstock Create an account to save your articles. Add on Google Add as your preferred source to see more of our stories on Google. In brief Researchers show Anthropic-style exploits can be reproduced with public AI, report claims.

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Study suggests vulnerability discovery is already cheap and widely accessible. Findings indicate AI cyber capabilities may be spreading faster than expected. When Anthropic unveiled Claude Mythos earlier this month, it locked the model behind a vetted coalition of tech giants and framed it as something too dangerous for the public.

Treasury Secretary Scott Bessent and Fed Chair Jerome Powell convened an emergency meetin g with Wall Street CEOs. The word " vulnpocalypse " resurfaced in security circles. And now a team of researchers has further complicated that narrative.

Vidoc Security took Anthropic's own patched public examples and tried to reproduce them using GPT-5. 6 inside an open-source coding agent called opencode. No private API access.

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No Anthropic internal stack. "We replicated Mythos findings in opencode using public models, not Anthropic's private stack," Dawid Moczadło, one of the researchers involved in the experiment, wrote on X after publishing the results. “A better way to read Anthropic's Mythos release is not ‘one lab has a magical model.

’ It is: the economics of vulnerability discovery are changing. ” We replicated Mythos findings in opencode using public models, not Anthropic's private stack. The moat is moving from model access to validation: finding vulnerability signal is getting cheaper; turning it into trusted security A better way to read Anthropic's Mythos release is… pic.

com/NjqDhsK1LA The cases they targeted were the same ones Anthropic highlighted in its public materials: a server file-sharing protocol, the networking stack of a security-focused OS, the video-processing software embedded in almost every media platform, and two cryptographic libraries used to verify digital identities across the web. 6 reproduced two bug cases in all three runs each. 6 also independently rediscovered a bug in OpenBSD three times straight, while GPT-5.

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