CVE-2026-47155
Fixed in a distro release EPSS <1%CVSS 6.5
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.
Products: vllm-project vllm
Fixed upstream
| Ecosystem | Package | Fixed in |
|---|---|---|
| PyPI | vllm | 0.22.0 |
Distro releases
| Release | Package | Fixed in |
|---|---|---|
| Chainguard | lmcache-cuda-12.8 | no fix |
| Chainguard | nemo-rl-cuda-13.0-vllm | no fix |
| Chainguard | py3.10-vllm-cuda-12.4 | no fix |
| Chainguard | py3.10-vllm-cuda-12.9 | no fix |
| Chainguard | py3.10-vllm-cuda-13.0 | no fix |
| Chainguard | py3.12-vllm-cuda-12.4 | no fix |
| Chainguard | py3.12-vllm-cuda-12.9 | no fix |
| Chainguard | py3.12-vllm-cuda-13.0 | no fix |
| Chainguard | py3.13-vllm-cuda-12.9 | no fix |
| Chainguard | py3.13-vllm-cuda-13.0 | no fix |
| Chainguard | tritonserver-backend-vllm-cuda-12.9 | no fix |
| Chainguard | tritonserver-backend-vllm-cuda-13.0 | 25.11-r12 |
| Chainguard | vllm-openai-cuda-12.9 | 0.28.0-r0 |