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Medium6.5Red Hat Linux

Medium [CVE-2026-47155] Supply-chain integrity issue due to inconsistent revision pinning controls

This medium-severity Red Hat Linux advisory covers CVE-2026-47155 affecting Red Hat AI Inference Server 3.3, Red Hat Enterprise Linux AI (RHEL AI) 3, Red Hat OpenShift AI (RHOAI).

CVE-2026-47155 Published Jun 22, 2026Updated by vendor Jun 22, 2026
Affected products & platforms
Red Hat LinuxUnclassified
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Summary

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, vLLM's revision pinning controls do not consistently apply to all artifacts loaded for a model.

A deployment that supplies --revision or --code-revision can still load dynamic code, GGUF files, image processors, retrieval side weights, or same-repository subfolder weights/config from an unpinned/default revision. This is a supply-chain integrity issue for pinned vLLM deployments.

Operators can believe they are serving a reviewed model revision while vLLM resolves behavior-affecting nested or sibling artifacts outside that reviewed revision. This vulnerability is fixed in 0.22.0.

This issue can lead to a supply-chain integrity compromise, where operators may unknowingly serve models with unreviewed or unintended behavior. Red Hat rates this issue as having Moderate impact.

The flaw is a supply-chain integrity issue when operators pin a HuggingFace model revision but vLLM may still load nested artifacts from an unpinned revision. It affects Red Hat AI Inference Server, Red Hat OpenShift AI, and Red Hat Enterprise Linux AI images that ship vLLM versions prior to 0.22.0.

KServe control-plane components that bundle vLLM as a library are not affected. Red Hat severity: Moderate — CVSS 6.5 (CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:H/A:N).

Weakness: CWE-829.

Affected versions
  • < 0.22.0

Official advisory · high-confidence parse· fetched 15 days ago·verify at source

Fixed versions
  • 0.22.0
  • rhaiis/vllm-cuda-rhel9:1787161382
  • rhaiis/vllm-rocm-rhel9:1787161803
  • RHSA-2026:59138
  • RHSA-2026:59139

Official advisory · high-confidence parse· fetched 15 days ago·verify at source

Mitigation checklist

Recommended fix / mitigation
  • Upgrade to a vLLM build containing the fix (>= 0.22.0) when available from Red Hat. Until then, only serve models from trusted registries, pin revisions explicitly, and review nested artifacts in model repositories before deployment.

Official advisory · high-confidence parse· fetched 15 days ago·verify at source

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