Meta, Nvidia and Microsoft AI frameworks share remote-code flaws
Cyber Security · Saturday, October 3, 2026 · 6 sources

Meta, Nvidia and Microsoft AI frameworks share remote-code flaws

Researchers at Oligo Security found remote-code-execution vulnerabilities across AI inference frameworks from Meta, Nvidia and Microsoft, as well as open-source projects including vLLM and SGLang. The Hacker News reports that the flaws stem from unsafe Python pickle deserialisation over unauthenticated ZeroMQ connections, a code pattern copied between projects—putting organisations running these systems at risk of server or cluster compromise.

Bottom line — Oligo found the same unsafe code pattern across several frameworks; some affected projects remain unpatched or have incomplete fixes.

Go deeper 5

  1. The Hacker News reports that Meta patched the original Llama framework flaw last October; the issue was also addressed in the pyzmq Python library.

  2. According to The Hacker News, Nvidia fixed its TensorRT-LLM flaw in version 0.18.2, while vLLM addressed its issue by switching to the V1 engine by default.

  3. The Hacker News says Modular Max Server has been fixed, while Sarathi-Serve remains unpatched and SGLang’s fixes are incomplete.

  4. Oligo researcher Avi Lumelsky told The Hacker News that code reuse carried nearly identical unsafe patterns into projects maintained by different teams.

  5. The Hacker News reports that a compromised inference node could enable attackers to run code on a cluster, escalate privileges or steal models.

Read the reporting 6

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Last generated: Oct 3, 1:42 PM UTC by wreetco

dstld. Your daily news summary designed to surface the news that matters from a European perspective. Curated by humans, summarized by AI - always with links back to the original reporting.

Links · Contact
Popular topics · WorldEuropeGamesAI
Last generated: Oct 3, 1:42 PM UTC by wreetco