CVE-2026-22807
vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to versio
vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.14.0, vLLM loads Hugging Face auto_map dynamic modules during model resolution without gating on trust_remote_code, allowing attacker-controlled Python code in a model repo/path to execute at server startup. An attacker who can influence the model repo/path (local directory or remote Hugging Face repo) can achieve arbitrary code execution on the vLLM host during model load.
This happens before any request handling and does not require API access. Version 0.14.0 fixes the issue.
HIGH · CVSS 8.8
EPSS 0.00029
Schedule remediation
- CVSS base score ≥ 7.0
Sigma rules0
YARA rules0