CVE-2026-22807CRITICAL 9.8EPSS p41.2%

CVE-2026-22807CVE-2026-22807

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.

Scoring

CVSS 3.19.8 (CRITICAL)
VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS0.54% probability of exploitation · percentile 41.2% · 2026-06-19T12:03:05Z
Published2026-01-21
Last modified2026-01-30

Underlying weaknesses· 1

CWE-94

References

  1. https://github.com/vllm-project/vllm/commit/78d13ea9de4b1ce5e4d8a5af9738fea71fb024e5
  2. https://github.com/vllm-project/vllm/pull/32194
  3. https://github.com/vllm-project/vllm/releases/tag/v0.14.0
  4. https://github.com/vllm-project/vllm/security/advisories/GHSA-2pc9-4j83-qjmr

1

TypeTargetConfidenceTier
WeaknessImproper Control of Generation of Code ('Code Injection')cwe-940%live

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Sourced from NVD + FIRST.org EPSS. Curated for EU compliance use cases by Adam Lundqvist, Founder at SQUR.