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CVE-2026-22778

CRITICAL

9.8

Description

vLLM is an inference and serving engine for large language models (LLMs). From 0.8.3 to before 0.14.1, when an invalid image is sent to vLLM's multimodal endpoint, PIL throws an error. vLLM returns this error to the client, leaking a heap address. With this leak, we reduce ASLR from 4 billion guesses to ~8 guesses. This vulnerability can be chained a heap overflow with JPEG2000 decoder in OpenCV/FFmpeg to achieve remote code execution. This vulnerability is fixed in 0.14.1.

Details CVE

Score CVSS v3.19.8

SeveriteCRITICAL

Vecteur CVSSCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Vecteur d'attaqueNETWORK

ComplexiteLOW

Privileges requisNONE

Interaction utilisateurNONE

Publie2/2/2026

Derniere modification2/23/2026

Sourcenvd

Observations honeypot0

Produits affectes

vllm:vllm

Faiblesses (CWE)

CWE-532

References

https://github.com/vllm-project/vllm/pull/31987(security-advisories@github.com)

https://github.com/vllm-project/vllm/pull/32319(security-advisories@github.com)

https://github.com/vllm-project/vllm/releases/tag/v0.14.1(security-advisories@github.com)

https://github.com/vllm-project/vllm/security/advisories/GHSA-4r2x-xpjr-7cvv(security-advisories@github.com)

Correlations IOC

Aucune correlation enregistree

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