CVE-2026-22807
EUVD-2026-367821.01.2026, 22:15
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.
Affected Products (NVD)
| Vendor | Product | Version |
|---|---|---|
| vllm | vllm | 0.10.1 ≤ 𝑥 < 0.14.0 |
𝑥
= Vulnerable software versions
Early Detection
Affected products identified ahead of NVD analysis through intelligence sources.
| Vendor | Product | Version | Source |
|---|---|---|---|
| Red Hat | Red Hat AI Inference Server 3.2 | 1772160593 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat AI Inference Server 3.2 | 1772160625 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat AI Inference Server 3.3 | 1782352919 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat AI Inference Server 3.3 | 1782353093 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat AI Inference Server 3.3 | 1782352847 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat OpenShift AI 2.25 | 1776259063 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat OpenShift AI 2.25 | 1772093278 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat OpenShift AI 2.25 | 1783998774 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat OpenShift AI 2.25 | 1783998857 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat OpenShift AI 3.3 | 1770956034 ≤ 𝑥 < * | ADP |
| Red Hat | Red Hat OpenShift AI 3.4 | 1772204861 ≤ 𝑥 < * | ADP |
References