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CVE-2026-22773
MEDIUM6.5
Description
vLLM is an inference and serving engine for large language models (LLMs). In versions from 0.6.4 to before 0.12.0, users can crash the vLLM engine serving multimodal models that use the Idefics3 vision model implementation by sending a specially crafted 1x1 pixel image. This causes a tensor dimension mismatch that results in an unhandled runtime error, leading to complete server termination. This issue has been patched in version 0.12.0.
Details CVE
Score CVSS v3.16.5
SeveriteMEDIUM
Vecteur CVSSCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Vecteur d'attaqueNETWORK
ComplexiteLOW
Privileges requisLOW
Interaction utilisateurNONE
Publie1/10/2026
Derniere modification1/27/2026
Sourcenvd
Observations honeypot0
Produits affectes
vllm:vllm
Faiblesses (CWE)
CWE-770
References
https://github.com/vllm-project/vllm/security/advisories/GHSA-grg2-63fw-f2qr(security-advisories@github.com)
Correlations IOC
Aucune correlation enregistree
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