vLLM 0.22.1 before 0.28.0 Incomplete Artifact Pin Propagation (vllm-project vllm)
En bref
- Source
- NVD
- EPSS
- EPSS 0.34 % · centile 27 ()
- État
- PUBLISHED
- Publiée
- Mise à jour
- Attribuée par
- VulnCheck
- Statut NVD
- Analyzed
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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.
Faiblesses (CWE)
- CWE-348 — Use of Less Trusted Source
Références
Scores
| Version | Score | Vecteur | Évalué par |
|---|---|---|---|
| CVSS 4.0 | HIGH 8.3 | CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:L/VI:H/VA:N/SC:N/SI:N/SA:N | VulnCheck |
| CVSS 3.1 | MEDIUM 6.5 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:H/A:N | VulnCheck |
| CVSS 4.0 | HIGH 8.3 | CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:L/VI:H/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X | NVD · disclosure@vulncheck.com (Secondary) |
| CVSS 3.1 | MEDIUM 6.5 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:H/A:N | NVD · disclosure@vulncheck.com (Secondary) |
Avis
- PYSEC-2026-4324 — 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
Références européennes
- ENISA EUVD · EUVD-2026-87747
- GCVE · GCVE-0-2026-100653
Configurations affectées (CPE NVD)
cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*≥ 0.22.1 < 0.28.0
Produits affectés
| Produit | Versions |
|---|---|
| vllm-project · vllm | affected 0.22.1 < 0.28.0 ; unaffected 0.28.0 |
Sources
| Source | Licence |
|---|---|
| CVE List (CVEProject cvelistV5) | CVE Program Terms of Use |
| EPSS (FIRST.org) | FIRST — attribution requested |
| ENISA EUVD | ENISA — reproduction authorised, source acknowledged |
| NVD (NIST) via fkie-cad/nvd-json-data-feeds | Public domain — this product uses data from the NVD API but is not endorsed or certified by the NVD |