CVE-2026-47155
CVE-2026-47155 · vLLM: Artifact Pin Decay in vLLM allows pinned deployments to load unpinned code, weights, and processors
This page contains facts from public vulnerability sources. Check the original advisory before updating.
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 6.5 · Medium · EPSS 0.2% · Fix available
- Published
- Updated
Stack: python
Affected products and versions
vllm
- Versions
- < 0.22.0: Affected
No fix published
vllm PyPI
- Versions
- 0.0.1
- 0.1.0
- 0.1.1
- 0.1.2
- 0.1.3
- 0.1.4
- 0.1.5
- 0.1.6
- 0.1.7
- 0.10.0
- 0.10.1
- 0.10.1.1
- 0.10.2
- 0.11.0
- 0.11.1
- 0.11.2
- 0.12.0
- 0.13.0
- 0.14.0
- 0.14.1
- 0.15.0
- 0.15.1
- 0.16.0
- 0.17.0
- 0.17.1
- 0.18.0
- 0.18.1
- 0.19.0
- 0.19.1
- 0.2.0
- 0.2.1
- 0.2.1.post1
- 0.2.2
- 0.2.3
- 0.2.4
- 0.2.5
- 0.2.6
- 0.2.7
- 0.20.0
- 0.20.1
- 0.20.2
- 0.21.0
- 0.3.0
- 0.3.1
- 0.3.2
- 0.3.3
- 0.4.0
- 0.4.0.post1
- 0.4.1
- 0.4.2
- 0.4.3
- 0.5.0
- 0.5.0.post1
- 0.5.1
- 0.5.2
- 0.5.3
- 0.5.3.post1
- 0.5.4
- 0.5.5
- 0.6.0
- 0.6.1
- 0.6.1.post1
- 0.6.1.post2
- 0.6.2
- 0.6.3
- 0.6.3.post1
- 0.6.4
- 0.6.4.post1
- 0.6.5
- 0.6.6
- 0.6.6.post1
- 0.7.0
- 0.7.1
- 0.7.2
- 0.7.3
- 0.8.0
- 0.8.1
- 0.8.2
- 0.8.3
- 0.8.4
- 0.8.5
- 0.8.5.post1
- 0.9.0
- 0.9.0.1
- 0.9.1
- 0.9.2
- Affected ranges
- ECOSYSTEM: < 0.22.0
Update to 0.22.0
Original sources
- https://github.com/vllm-project/vllm/security/advisories/GHSA-3ww4-5jv9-j5gm
- https://github.com/vllm-project/vllm/pull/42616
- https://github.com/vllm-project/vllm/commit/d26a28ab033697f55a1414b5b0435de7cd6045b6
- https://huntr.com/bounties/3f1e24c0-87d2-4f6c-a705-820f380879ac
- https://nvd.nist.gov/vuln/detail/CVE-2026-47155