CVE-2026-47155
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 3.1
- 6.5
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:H/A:N - EPSS
- 0.2% chance of exploitation in the next 30 days; higher than 16% of CVEs (scores of 2026-10-25)
- CWE
- CWE-345
- Published
- Modified
- Record from
- the NVD, synced
Affected
- vllm:vllm
Packages (OSV)
| Advisory | Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|---|
| GHSA-3ww4-5jv9-j5gm | PyPI | vllm | <0.22.0 | 0.22.0 |
| PYSEC-2026-2301 | PyPI | vllm | <0.22.0 | 0.22.0 |