PT-2026-51418 · Vllm+1 · Vllm+1
CVSS v3.1
8.8
High
| Vector | AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H |
Name of the Vulnerable Software and Affected Versions
vLLM versions prior to 0.22.1
Description
vLLM is an inference and serving engine for large language models. The Dockerfile is susceptible to a dependency confusion attack involving the
flashinfer-jit-cache package. This occurs because the package is retrieved from a custom index using --extra-index-url while the UV INDEX STRATEGY variable is set to unsafe-best-match and the package name was not registered on PyPI. A malicious actor could register the flashinfer-jit-cache package on PyPI to execute arbitrary code as root during the Docker build process. This could lead to the backdooring of container images, allowing the exfiltration of API credentials, user prompts, and model data from production deployments.Recommendations
Update to version 0.22.1.
Exploit
Fix
Uncontrolled Search Path Element
Found an issue in the description? Have something to add? Feel free to write us 👾
Weakness Enumeration
Related Identifiers
Affected Products
Flashinfer-Jit-Cache
Vllm