CVE-2026-27893HIGH 8.8EPSS p50.1%

CVE-2026-27893CVE-2026-27893

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.

Scoring

CVSS 3.18.8 (HIGH)
VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS0.75% probability of exploitation · percentile 50.1% · 2026-06-21T12:00:28Z
Published2026-03-27
Last modified2026-03-30

Underlying weaknesses· 1

CWE-693

References

  1. https://github.com/vllm-project/vllm/commit/00bd08edeee5dd4d4c13277c0114a464011acf72
  2. https://github.com/vllm-project/vllm/pull/36192
  3. https://github.com/vllm-project/vllm/security/advisories/GHSA-7972-pg2x-xr59

1

TypeTargetConfidenceTier
WeaknessProtection Mechanism Failurecwe-6930%live

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Sourced from NVD + FIRST.org EPSS. Curated for EU compliance use cases by Adam Lundqvist, Founder at SQUR.