vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, vLLMs 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.
The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data.
| Name | Vendor | Start Version | End Version |
|---|---|---|---|
| Vllm | Vllm | * | 0.22.0 (excluding) |