CVE-2026-27893

vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.18.0, two model implementation files hardcode `trust_remote_code=True` when loading sub-components, bypassing the user's explicit `--trust-remote-code=False` security opt-out. This enables remote code execution via malicious model repositories even when the user has explicitly disabled remote code trust. Version 0.18.0 patches the issue.

The following products are affected by CVE-2026-27893 vulnerability.

Here, you will find a curated list of external links that provide in-depth information to CVE-2026-27893.

URL	Resource
https://github.com/vllm-project/vllm/commit/00bd08edeee5dd4d4c13277c0114a464011acf72
https://github.com/vllm-project/vllm/pull/36192
https://github.com/vllm-project/vllm/security/advisories/GHSA-7972-pg2x-xr59
https://nvd.nist.gov/vuln/detail/CVE-2026-27893
https://www.cve.org/CVERecord?id=CVE-2026-27893