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CVE-2026-22773
MEDIUM6.5
Descripcion
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.
Detalles CVE
Puntuacion CVSS v3.16.5
SeveridadMEDIUM
Vector CVSSCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Vector de ataqueNETWORK
ComplejidadLOW
Privilegios requeridosLOW
Interaccion usuarioNONE
Publicado1/10/2026
Ultima modificacion1/27/2026
Fuentenvd
Avistamientos honeypot0
Productos afectados
vllm:vllm
Debilidades (CWE)
CWE-770
Referencias
https://github.com/vllm-project/vllm/security/advisories/GHSA-grg2-63fw-f2qr(security-advisories@github.com)
Correlaciones IOC
Sin correlaciones registradas
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