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…
High CVSS 8.8
Summary
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.
In-depth triage · Auto channel
No in-depth report has been generated yet (DR-003 v2 AI pipeline is under construction).
Affected products
- :
Sources
- NVD DATABASE
Original Links
- https://github.com/vllm-project/vllm/commit/00bd08edeee5dd4d4c13277c0114a464011acf72 Patch
- https://github.com/vllm-project/vllm/pull/36192 Issue Tracking
- https://github.com/vllm-project/vllm/security/advisories/GHSA-7972-pg2x-xr59 Vendor Advisory
- https://access.redhat.com/errata/RHSA-2026:10140
- https://access.redhat.com/errata/RHSA-2026:10141
- https://access.redhat.com/errata/RHSA-2026:19712
- https://access.redhat.com/errata/RHSA-2026:19724
- https://access.redhat.com/errata/RHSA-2026:19725
- https://access.redhat.com/errata/RHSA-2026:24977
- https://access.redhat.com/errata/RHSA-2026:37275
- https://access.redhat.com/errata/RHSA-2026:42644
- https://access.redhat.com/errata/RHSA-2026:8746
- https://access.redhat.com/errata/RHSA-2026:8747
- https://access.redhat.com/errata/RHSA-2026:8748
- https://access.redhat.com/security/cve/CVE-2026-27893
- https://bugzilla.redhat.com/show_bug.cgi?id=2452055
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-27893.json
Timeline
- nvd_ingest NVD