vLLM 0.22.1 before 0.28.0 Incomplete Artifact Pin Propagation
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
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| vllm-project | vllm | unaffected |
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No data.
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| Vllm | Vllm |
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No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.340% probability within 30 days)
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| Metrics |
ssvc
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| Weaknesses | CWE-494 | |
| References |
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| Metrics |
threat_severity
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threat_severity
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| 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. | |
| Title | vLLM 0.22.1 before 0.28.0 Incomplete Artifact Pin Propagation | |
| First Time appeared |
Vllm
Vllm vllm |
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| Weaknesses | CWE-348 | |
| CPEs | cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* | |
| Vendors & Products |
Vllm
Vllm vllm |
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| References |
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| Metrics |
cvssV3_1
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