CVE-2026-22807

vLLM affected by RCE via auto_map dynamic module loading during model initialization

State
Published
Severity
8.8 High
Published
Jan 21, 2026
Updated
Jul 21, 2026
Reserved
Jan 9, 2026

Read the record on cve.org

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.

Scores

CVSSScoreVectorSource
3.18.8 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HGitHub_M
3.18.8 HighCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:Hredhat-SADP

Weaknesses

  • CWE-94 Improper Control of Generation of Code ('Code Injection')

Affected Products

ProductVersions
vllmvllm-project
  • >= 0.10.1, < 0.14.0Affected

References

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