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CVE-2026-27893 vllm-project CVE debrief

CVE-2026-27893 is a high-severity vulnerability in vLLM, a large language model inference and serving engine. The vulnerability allows for remote code execution via malicious model repositories even when the user has explicitly disabled remote code trust. This issue was introduced in version 0.10.1 and patched in version 0.18.0. The vulnerability has a CVSS score of 8.8 and is considered HIGH severity. Users of vLLM should update to version 0.18.0 or later to mitigate this vulnerability.

Vendor
vllm-project
Product
vllm
CVSS
HIGH 8.8
CISA KEV
Not listed in stored evidence
Original CVE published
2026-03-27
Original CVE updated
2026-07-21
Advisory published
2026-03-27
Advisory updated
2026-07-21

Who should care

Users of vLLM, particularly those who use the engine for large language models, should be aware of this vulnerability and take steps to mitigate it. This includes updating to version 0.18.0 or later and ensuring that remote code execution is not enabled. Additionally, users should be cautious when loading sub-components from untrusted sources.

Technical summary

The vulnerability is caused by two model implementation files that hardcode `trust_remote_code=True` when loading sub-components, bypassing the user's explicit `--trust-remote-code=False` security opt-out. This allows for remote code execution via malicious model repositories. The issue was patched in version 0.18.0, which removes the hardcoded `trust_remote_code=True` setting. Users can mitigate this vulnerability by updating to version 0.18.0 or later and ensuring that remote code execution is not enabled.

Defensive priority

High priority should be given to updating to version 0.18.0 or later. Additionally, users should review their current configuration and ensure that remote code execution is not enabled.

Recommended defensive actions

  • Update to version 0.18.0 or later
  • Review current configuration and ensure remote code execution is not enabled
  • Be cautious when loading sub-components from untrusted sources
  • Monitor for suspicious activity
  • Consider implementing additional security controls

Evidence notes

The vulnerability was introduced in version 0.10.1 and patched in version 0.18.0. The CVSS score is 8.8, indicating high severity. The vulnerability allows for remote code execution via malicious model repositories.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-27893 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-27893

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-27893 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-27893

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

  • Mitigation or vendor reference

    Unverified legacy reference

    URL: https://github.com/vllm-project/vllm/commit/00bd08edeee5dd4d4c13277c0114a464011acf72

    [email protected] - Patch

  • Source reference

    Unverified legacy reference

    URL: https://github.com/vllm-project/vllm/pull/36192

    [email protected] - Issue Tracking

  • Mitigation or vendor reference

    Unverified legacy reference

    URL: https://github.com/vllm-project/vllm/security/advisories/GHSA-7972-pg2x-xr59

    [email protected] - Vendor Advisory

  • Source reference

    Unverified legacy reference

    URL: https://access.redhat.com/errata/RHSA-2026:10140

    0b0ca135-0b70-47e7-9f44-1890c2a1c46c

  • Source reference

    Unverified legacy reference

    URL: https://access.redhat.com/errata/RHSA-2026:10141

    0b0ca135-0b70-47e7-9f44-1890c2a1c46c

  • Source reference

    Unverified legacy reference

    URL: https://access.redhat.com/errata/RHSA-2026:19712

    0b0ca135-0b70-47e7-9f44-1890c2a1c46c

  • Source reference

    Unverified legacy reference

    URL: https://access.redhat.com/errata/RHSA-2026:19724

    0b0ca135-0b70-47e7-9f44-1890c2a1c46c

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.