Vulnerability · Published Jun 22, 2026 · Assigned by GitHub_M
CVE-2026-47155vLLM: Artifact Pin Decay in vLLM allows pinned deployments to load unpinned code, weights, and processors
Medium 6.5
In plain English
A medium-severity insufficient verification of data authenticity in vllm from vllm-project. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 16% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official 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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | vllm | 0.22.0 | GHSA-3ww4-5jv9-j5gm |
| PyPI | vllm | 0.22.0 | PYSEC-2026-2301 |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| vllm-project | vllm | < 0.22.0 |
Weakness: CWE-345 · Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:H/A:N
References
- https://github.com/vllm-project/vllm/security/advisories/GHSA-3ww4-5jv9-j5gm x_refsource_CONFIRM
- https://github.com/vllm-project/vllm/pull/42616 x_refsource_MISC
- https://github.com/vllm-project/vllm/commit/d26a28ab033697f55a1414b5b0435de7cd6045b6 x_refsource_MISC
- https://huntr.com/bounties/3f1e24c0-87d2-4f6c-a705-820f380879ac x_refsource_MISC