All vulnerabilities
CVE-2026-100653GHSA-hhv2-872h-628q

vLLM 0.22.1 before 0.28.0 Incomplete Artifact Pin Propagation

vllm-project vllm
CVSS
8.3High
ExploitationPublic exploit codeCISA's assessment says proof of concept code is public, assessed 30 Sep 2026. Not in the KEV catalogCISA via CVE List
Exploit odds (EPSS)0.27%Chance of exploitation activity in the next 30 days, higher than 18% of CVEs. Scored 23 Oct 2026FIRST EPSS
Fixed in0.28.0Fixed versionCVE List
Published26 Sep 2026Updated 1 Oct 2026CVE List

What fixes it

A fixed version on one release line is not the upgrade target for every line. Check your exact version and any vendor backports.

Description

vLLM is an inference and serving engine for large language models. In versions from 0.22.1 through 0.28.0, the operator-supplied model revision pin (--revision / --code-revision) is not propagated to several Hugging Face artifact loads for the FunAudioChat and Tarsier2 architectures: the WhisperFeatureExtractor and speech_tokenizer PreTrainedTokenizerFast loads in vllm/model_executor/models/funaudiochat.py and the Qwen2VLConfig.from_pretrained call used by Tarsier2ProcessingInfo in vllm/model_executor/models/qwen2_vl.py. As a result, deployments pinned to a reviewed revision still resolve these behavior-affecting processor, tokenizer, and config artifacts from the repository's default revision, so a later change to the upstream default branch can alter audio preprocessing, speech tokenizer behavior, or Tarsier2 configuration without any change to the operator's configured pin. This is a supply-chain integrity and reproducibility failure for pinned deployments; it is residual to the earlier fix tracked as GHSA-3ww4-5jv9-j5gm / CVE-2026-47155 and does not constitute remote code execution or a trust_remote_code=False bypass. The issue is fixed in version 0.28.0.

Text from CVE List

Affected versions 2

  • vllmaffected: 0.22.1 before 0.28.0CVE List
  • vllmunaffected: 0.28.0CVE List

References 3