Vulnerability details

CVE-2026-27893

Red Hat AI Inference Servervllm-project vLLM

vLLM's hardcoded trust_remote_code=True in NemotronVL and KimiK25 bypasses user security opt-out

CVSS 3.1
8.8High

Official 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.

CVSS scores

ScoreVersionSourceVector
8.8High 3.1 CVEProject cvelistV5 (CNA) (GitHub_M) CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8High 3.1 CVEProject cvelistV5 (CNA) (redhat-SADP) CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Affected products

VendorProductVersionsSource
Red Hat Red Hat AI Inference Server All CVEProject cvelistV5 (CNA)
Red Hat Red Hat AI Inference Server All CVEProject cvelistV5 (CNA)
Red Hat Red Hat AI Inference Server All CVEProject cvelistV5 (CNA)
Red Hat Red Hat AI Inference Server All CVEProject cvelistV5 (CNA)
Red Hat Red Hat AI Inference Server All CVEProject cvelistV5 (CNA)
Red Hat Red Hat AI Inference Server All CVEProject cvelistV5 (CNA)
vllm-project vLLM >= 0.10.1, < 0.18.0 CVEProject cvelistV5 (CNA)

References and advisories

17
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Details

Published
2026-03-27
Last updated
2026-07-27
State
Published
Assigner (CNA)
GitHub_M

Exploit prediction (EPSS)

1.36%
Probability of exploitation in 30 days
72%
Percentile (among all CVEs)

SSVC assessment (CISA)

Automatable
No
Exploitation
None
Technical impact
Total

Weaknesses (CWE)

  • CWE-693
    Protection Mechanism Failure
  • CWE-501
    Trust Boundary Violation