CVE-2026-22807
highCVSS v3 Base Score
8.8
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Vulnerability Report
Generated by CyberWatcher
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.
CWE
CWE-94Affected Products
Red Hat AI Inference ServerRed Hat Enterprise Linux AI (RHEL AI) 3Red Hat OpenShift AI (RHOAI)Red Hat AI Inference Server 3.2Red Hat OpenShift AI 2.25Red Hat OpenShift AI 3.3