CVE-2026-100653

Vulnerability 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.

CVSS Score

Related Weaknesses (CWE)

References

• https://github.com/vllm-project/vllm/commit/d26a28ab033697f55a1414b5b0435de7cd60
• https://github.com/vllm-project/vllm/security/advisories/GHSA-hhv2-872h-628q
• https://www.vulncheck.com/advisories/vllm-0.22.1-before-0.28.0-incomplete-artifa
• https://github.com/vllm-project/vllm/security/advisories/GHSA-hhv2-872h-628q