CVE-2026-22807

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.

The following products are affected by CVE-2026-22807 vulnerability.

Here, you will find a curated list of external links that provide in-depth information to CVE-2026-22807.

URL	Resource
https://github.com/vllm-project/vllm/commit/78d13ea9de4b1ce5e4d8a5af9738fea71fb024e5
https://github.com/vllm-project/vllm/pull/32194
https://github.com/vllm-project/vllm/releases/tag/v0.14.0
https://github.com/vllm-project/vllm/security/advisories/GHSA-2pc9-4j83-qjmr
https://nvd.nist.gov/vuln/detail/CVE-2026-22807
https://www.cve.org/CVERecord?id=CVE-2026-22807