VULNERABILITY INTELLIGENCE

CVE-2026-22807

CVSS score8.8 HIGH
EPSS probability0.98%
CISA KEVNot currently listed
Published2026-01-21
Last modified2026-07-21
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Description

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.

Weakness classification

  • security-advisories@github.com: CWE-94
  • 0b0ca135-0b70-47e7-9f44-1890c2a1c46c: CWE-94

Primary references