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CybersecurityMAG 8Bearish
•
2026-10-03•1 min read

Anthropic's Mythos AI Uncovers Critical HFS Server Exploit Now Under Active Attack

Zubiqo Take
QuoteThreads

"Anthropic restricted Mythos because it is too dangerous, but building an automated exploit generator guarantees adversaries are currently training the exact same thing in the dark."

Anthropic's Mythos AI Uncovers Critical HFS Server Exploit Now Under Active Attack
📷 Image Source: The Register

Executive Summary

  • •Anthropic's Mythos AI model discovered a critical authentication-bypass bug in Rejetto HFS that is now under active attack.
  • •The AI has uncovered 286 CVEs since April by chaining complex cryptographic missteps.
  • •Exploitation attempts originating from China-linked proxies are currently targeting vulnerable hosts across the US and Japan.

Community Sentiment

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Key Developments & Data

Anthropic’s restricted Mythos model identified a critical authentication-bypass vulnerability in the Rejetto HTTP File Server (HFS) that allows full remote code execution. Tracked as CVE-2026-61500, the flaw is already facing active exploitation from China-linked IP addresses targeting servers in the US and Japan. The AI successfully identified that V8’s Math.random() xorshift128+ algorithm was fully reversible, chaining this insecure pseudo-random number generator with a separate application leak. Mythos determined that a public Satisfiability Modulo Theories solver could recover the seed and forge valid session keys, marking its 286th discovered CVE since Project Glasswing began in April. "Our canaries detected an actor in China targeting real vulnerable hosts in the US." — Patrick Garrity
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Zubiqo Strategic Assessment

Primary Impact

Enterprise IT and cybersecurity teams managing open-source infrastructure like Rejetto HFS, who now face automated vulnerability discovery outpacing manual patch cycles.

Strategic Shift

The transition of AI from theoretical code-assistants to autonomous security researchers capable of chaining complex mathematical cryptographic flaws to achieve state recovery.

The Ripple Effect

State-sponsored actors will likely accelerate the deployment of their own AI models to hunt zero-days in widely adopted web frameworks before vendors can issue patches.

This intelligence assessment is generated by Zubiqo's AI for informational purposes only.

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Read original on The Register
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Synthesized across 1,500+ daily market sources with human editorial oversight under Zubiqo's standards.

Event Magnitude8 / 10
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