vllm — security advisory
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.
- Products
- vllm
- Affected 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
- Fixed versions
- 0.28.0
- CVEs
- CVE-2026-100653
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 1 Nov 2026, 02:32 UTC · Revision 1
Source evidence
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.
osv:PYSEC-2026-4324
vllm
Fixed versions: 0.28.0
Complete source record
{
"id": "5413f53675ac28710fc65e2f06e33c4097fc5a140a96e534c4e8649ec8a63993",
"url": "https://osv.dev/vulnerability/PYSEC-2026-4324",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "PYSEC-2026-4324",
"summary": "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.",
"evidence": "osv:PYSEC-2026-4324",
"products": [
{
"name": {
"value": "vllm",
"evidence": "/affected/0/package/name"
},
"prerequisites": [],
"fixed_versions": [
{
"value": "0.28.0",
"evidence": "/affected/0/ranges"
}
],
"affected_versions": [
{
"value": "0.22.1",
"evidence": "/affected/0/versions"
},
{
"value": "0.23.0",
"evidence": "/affected/0/versions"
},
{
"value": "0.24.0",
"evidence": "/affected/0/versions"
},
{
"value": "0.25.0",
"evidence": "/affected/0/versions"
},
{
"value": "0.25.1",
"evidence": "/affected/0/versions"
},
{
"value": "0.26.0",
"evidence": "/affected/0/versions"
},
{
"value": "0.27.0",
"evidence": "/affected/0/versions"
},
{
"value": "0.27.1",
"evidence": "/affected/0/versions"
}
]
}
],
"severity": "high",
"structured": {
"id": "PYSEC-2026-4324",
"aliases": [
"CVE-2026-100653",
"GHSA-hhv2-872h-628q",
"PYSEC-2026-4324"
],
"metrics": [
{
"type": "CVSS_V4",
"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"
}
],
"affected": [
{
"ranges": [
{
"type": "ECOSYSTEM",
"events": [
{
"introduced": "0.22.1"
},
{
"fixed": "0.28.0"
}
]
}
],
"package": {
"name": "vllm",
"purl": "pkg:pypi/vllm",
"ecosystem": "PyPI"
},
"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"
],
"database_specific": {
"source": "https://github.com/pypa/advisory-database/blob/main/vulns/vllm/PYSEC-2026-4324.yaml"
},
"ecosystem_specific": {}
}
],
"modified": "2026-10-23T19:00:39.873437407Z",
"provider": "osv",
"references": [
"https://www.vulncheck.com/advisories/vllm-0.22.1-before-0.28.0-incomplete-artifact-pin-propagation",
"https://github.com/vllm-project/vllm/commit/d26a28ab033697f55a1414b5b0435de7cd6045b6",
"https://github.com/vllm-project/vllm/security/advisories/GHSA-hhv2-872h-628q"
]
},
"related_cves": [
{
"value": "CVE-2026-100653",
"evidence": "/aliases"
}
],
"security_relevant": true,
"severity_evidence": "/severity/0/score"
},
"source_id": "core-osv",
"document_id": 424610,
"published_at": "2026-09-26T14:16:47.953+00:00"
}