Search

Find a vulnerability

Search criteria

    Related vulnerabilities

    PYSEC-2026-4324

    Vulnerability from pysec - Published: 2026-09-26 14:16 - Updated: 2026-10-23 18:32
    VLAI
    Details

    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.

    Impacted products
    Name purl
    vllm pkg:pypi/vllm

    {
      "affected": [
        {
          "ecosystem_specific": {},
          "package": {
            "ecosystem": "PyPI",
            "name": "vllm",
            "purl": "pkg:pypi/vllm"
          },
          "ranges": [
            {
              "events": [
                {
                  "introduced": "0.22.1"
                },
                {
                  "fixed": "0.28.0"
                }
              ],
              "type": "ECOSYSTEM"
            }
          ],
          "versions": [
            "0.22.1",
            "0.23.0",
            "0.24.0",
            "0.25.0",
            "0.25.1",
            "0.26.0",
            "0.27.0",
            "0.27.1"
          ]
        }
      ],
      "aliases": [
        "CVE-2026-100653",
        "GHSA-hhv2-872h-628q"
      ],
      "details": "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\u0027s 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\u0027s 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.",
      "id": "PYSEC-2026-4324",
      "modified": "2026-10-23T18:32:12.324923Z",
      "published": "2026-09-26T14:16:47.953Z",
      "references": [
        {
          "type": "ADVISORY",
          "url": "https://www.vulncheck.com/advisories/vllm-0.22.1-before-0.28.0-incomplete-artifact-pin-propagation"
        },
        {
          "type": "FIX",
          "url": "https://github.com/vllm-project/vllm/commit/d26a28ab033697f55a1414b5b0435de7cd6045b6"
        },
        {
          "type": "EVIDENCE",
          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-hhv2-872h-628q"
        }
      ],
      "severity": [
        {
          "score": "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",
          "type": "CVSS_V4"
        }
      ]
    }