vLLM's hardcoded trust_remote_code=True in NemotronVL and KimiK25 bypasses user security opt-out (vllm-project vllm)
At a glance
- Source
- NVD
- EPSS
- EPSS 1.37 % · percentile 72 ()
- State
- PUBLISHED
- Published
- Updated
- Assigner
- GitHub_M
- NVD status
- Modified
Description
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.
Weaknesses (CWE)
References
- https://github.com/vllm-project/vllm/security/advisories/GHSA-7972-pg2x-xr59
- https://github.com/vllm-project/vllm/pull/36192
- https://github.com/vllm-project/vllm/commit/00bd08edeee5dd4d4c13277c0114a464011acf72
- 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
- https://access.redhat.com/errata/RHSA-2026:19724
- https://access.redhat.com/errata/RHSA-2026:19725
- https://access.redhat.com/errata/RHSA-2026:8748
- https://access.redhat.com/errata/RHSA-2026:8746
- https://access.redhat.com/errata/RHSA-2026:8747
- https://access.redhat.com/errata/RHSA-2026:10140
- https://access.redhat.com/errata/RHSA-2026:10141
- https://access.redhat.com/errata/RHSA-2026:42644
- https://access.redhat.com/errata/RHSA-2026:24977
- https://access.redhat.com/errata/RHSA-2026:37275
- https://access.redhat.com/errata/RHSA-2026:19712
Scores
| Version | Score | Vector | Scored by |
|---|---|---|---|
| CVSS 3.1 | HIGH 8.8 | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H | GitHub_M |
| CVSS 3.1 | HIGH 8.8 | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H | redhat-SADP |
| CVSS 3.1 | HIGH 8.8 | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H | NVD · security-advisories@github.com (Secondary) |
| CVSS 3.1 | HIGH 8.8 | CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H | NVD · 0b0ca135-0b70-47e7-9f44-1890c2a1c46c (Secondary) |
Advisories
- GHSA-7972-pg2x-xr59 — vLLM has Hardcoded Trust Override in Model Files Enables RCE Despite Explicit User Opt-Out
- PYSEC-2026-2297 — 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
European references
- ENISA EUVD · EUVD-2026-16478
- GCVE · GCVE-0-2026-27893
Affected configurations (NVD CPE)
cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*≥ 0.10.1 < 0.18.0
Affected products
| Product | Versions |
|---|---|
| vllm-project · vllm | affected >= 0.10.1, < 0.18.0 |
Sources
| Source | Licence |
|---|---|
| CVE List (CVEProject cvelistV5) | CVE Program Terms of Use |
| EPSS (FIRST.org) | FIRST — attribution requested |
| ENISA EUVD | ENISA — reproduction authorised, source acknowledged |
| NVD (NIST) via fkie-cad/nvd-json-data-feeds | Public domain — this product uses data from the NVD API but is not endorsed or certified by the NVD |