Record summary

CVE-2026-47155 has a selected CVSS score of 6.5 (medium).

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.

Description source: CVE List

Exploitation context

CISA SSVC decision

ExploitationNone
AutomatableNo
Technical impactPartial

CISA Coordinator · SSVC 2.0.3 · Evaluated Jun 23, 2026 · Source: CVE List

Affected products and versions

2
ProductSourceVersion rangeStatus
CVE List< 0.22.0affected
GitHub AdvisoryBefore 0.22.0 · Fixed in 0.22.0affected

References

7