CVE-2026-47155

Affects: large language model, vLLM

CVSS: MEDIUM · 6.5v3.1
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:H/A:N
Published: 2026-06-22
Weakness: CWE-345
Source: nvd.nist.gov/vuln/detail/CVE-2026-47155

Description

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.

References

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