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CVE-2026-22773
MEDIUM6.5
Descricao
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.
Detalhes CVE
Pontuacao CVSS v3.16.5
SeveridadeMEDIUM
Vetor CVSSCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Vetor de ataqueNETWORK
ComplexidadeLOW
Privilegios necessariosLOW
Interacao do usuarioNONE
Publicado1/10/2026
Ultima modificacao1/27/2026
Fontenvd
Avistamentos honeypot0
Produtos afetados
vllm:vllm
Fraquezas (CWE)
CWE-770
Referencias
https://github.com/vllm-project/vllm/security/advisories/GHSA-grg2-63fw-f2qr(security-advisories@github.com)
Correlacoes IOC
Sem correlacoes registradas
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