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Protection Mechanism Failure Affecting vllm-openai-cuda-12.9 package, versions <0.19.0-r0

Severity

 Recommended
low

Based on default assessment until relevant scores are available.

Threat Intelligence

EPSS
1.35% (69th percentile)

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  • Snyk IDSNYK-CHAINGUARDLATEST-VLLMOPENAICUDA129-16000012
  • published13 Apr 2026
  • disclosed27 Mar 2026
Report a new vulnerability Found a mistake?

Introduced: 27 Mar 2026

CVE-2026-27893  (opens in a new tab)
CWE-693  (opens in a new tab)

How to fix?

Upgrade Chainguard vllm-openai-cuda-12.9 to version 0.19.0-r0 or higher.

NVD Description

Note: Versions mentioned in the description apply only to the upstream vllm-openai-cuda-12.9 package and not the vllm-openai-cuda-12.9 package as distributed by Chainguard. See How to fix? for Chainguard relevant fixed versions and status.

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.

References