Descripción
vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, vLLM-s revision pinning controls do not consistently apply to all artifacts loaded for a model. A deployment that supplies --revision or --code-revision can still load dynamic code, GGUF files, image processors, retrieval side weights, or same-repository subfolder weights/config from an unpinned/default revision. This is a supply-chain integrity issue for pinned vLLM deployments. Operators can believe they are serving a reviewed model revision while vLLM resolves behavior-affecting nested or sibling artifacts outside that reviewed revision. This vulnerability is fixed in 0.22.0.
CVSS 6.5EPSS 0.21%Riesgo 0.66
Ver fuente- Publicación
- 2026-06-22 23:16:30
- Versiones afectadas
- <0.22.0
- Tipo
- Software crítico
- Vector
- CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:H/A:N