FKIE_CVE-2025-62426
Vulnerability from fkie_nvd - Published: 2025-11-21 02:15 - Updated: 2026-10-19 13:10
Severity
Summary
vLLM is an inference and serving engine for large language models (LLMs). From version 0.5.5 to before 0.11.1, the /v1/chat/completions and /tokenize endpoints allow a chat_template_kwargs request parameter that is used in the code before it is properly validated against the chat template. With the right chat_template_kwargs parameters, it is possible to block processing of the API server for long periods of time, delaying all other requests. This issue has been patched in version 0.11.1.
References
{
"affected": [
{
"affectedData": [
{
"product": "vllm",
"vendor": "vllm-project",
"versions": [
{
"status": "affected",
"version": "\u003e= 0.5.5, \u003c 0.11.1"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*",
"matchCriteriaId": "BA1047E1-ED1E-4685-B699-8CE5B2058D87",
"versionEndExcluding": "0.11.1",
"versionStartIncluding": "0.5.5",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:vllm:vllm:0.11.1:rc0:*:*:*:*:*:*",
"matchCriteriaId": "FEE054E1-1F84-4ACC-894C-D7E3652EF1B1",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:vllm:vllm:0.11.1:rc1:*:*:*:*:*:*",
"matchCriteriaId": "B05850DF-38FE-439F-9F7A-AA96DA9038CC",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "vLLM is an inference and serving engine for large language models (LLMs). From version 0.5.5 to before 0.11.1, the /v1/chat/completions and /tokenize endpoints allow a chat_template_kwargs request parameter that is used in the code before it is properly validated against the chat template. With the right chat_template_kwargs parameters, it is possible to block processing of the API server for long periods of time, delaying all other requests. This issue has been patched in version 0.11.1."
},
{
"lang": "es",
"value": "vLLM es un motor de inferencia y servicio para modelos de lenguaje grandes (LLMs). Desde la versi\u00f3n 0.5.5 hasta antes de la 0.11.1, los endpoints /v1/chat/completions y /tokenize permiten un par\u00e1metro de solicitud chat_template_kwargs que se utiliza en el c\u00f3digo antes de que sea validado correctamente contra la plantilla de chat. Con los par\u00e1metros chat_template_kwargs correctos, es posible bloquear el procesamiento del servidor API durante largos per\u00edodos de tiempo, retrasando todas las dem\u00e1s solicitudes. Este problema ha sido parcheado en la versi\u00f3n 0.11.1."
}
],
"id": "CVE-2025-62426",
"lastModified": "2026-10-19T13:10:00.110",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-62426",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-11-24T17:12:00.809982Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-11-21T02:15:43.570",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Product"
],
"url": "https://github.com/vllm-project/vllm/blob/2a6dc67eb520ddb9c4138d8b35ed6fe6226997fb/vllm/entrypoints/chat_utils.py#L1602-L1610"
},
{
"source": "security-advisories@github.com",
"tags": [
"Product"
],
"url": "https://github.com/vllm-project/vllm/blob/2a6dc67eb520ddb9c4138d8b35ed6fe6226997fb/vllm/entrypoints/openai/serving_engine.py#L809-L814"
},
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/vllm-project/vllm/commit/3ada34f9cb4d1af763fdfa3b481862a93eb6bd2b"
},
{
"source": "security-advisories@github.com",
"tags": [
"Issue Tracking"
],
"url": "https://github.com/vllm-project/vllm/pull/27205"
},
{
"source": "security-advisories@github.com",
"tags": [
"Vendor Advisory"
],
"url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-69j4-grxj-j64p"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-770"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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