FKIE_CVE-2025-59425
Vulnerability from fkie_nvd - Published: 2025-10-07 14:15 - Updated: 2026-10-19 16:10
Severity
Summary
vLLM is an inference and serving engine for large language models (LLMs). Before version 0.11.0rc2, the API key support in vLLM performs validation using a method that was vulnerable to a timing attack. API key validation uses a string comparison that takes longer the more characters the provided API key gets correct. Data analysis across many attempts could allow an attacker to determine when it finds the next correct character in the key sequence. Deployments relying on vLLM's built-in API key validation are vulnerable to authentication bypass using this technique. Version 0.11.0rc2 fixes the issue.
References
{
"affected": [
{
"affectedData": [
{
"product": "vllm",
"vendor": "vllm-project",
"versions": [
{
"status": "affected",
"version": "\u003c 0.11.0rc2"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*",
"matchCriteriaId": "99A24E23-769D-4DB8-BF37-EEC71EE83630",
"versionEndExcluding": "0.11.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:vllm:vllm:0.11.0:rc1:*:*:*:*:*:*",
"matchCriteriaId": "46639D64-5C28-44F3-AE25-9212114AFC8E",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "vLLM is an inference and serving engine for large language models (LLMs). Before version 0.11.0rc2, the API key support in vLLM performs validation using a method that was vulnerable to a timing attack. API key validation uses a string comparison that takes longer the more characters the provided API key gets correct. Data analysis across many attempts could allow an attacker to determine when it finds the next correct character in the key sequence. Deployments relying on vLLM\u0027s built-in API key validation are vulnerable to authentication bypass using this technique. Version 0.11.0rc2 fixes the issue."
},
{
"lang": "es",
"value": "vLLM es un motor de inferencia y servicio para modelos de lenguaje grandes (LLM). Antes de la versi\u00f3n 0.11.0rc2, el soporte de clave API en vLLM realiza la validaci\u00f3n utilizando un m\u00e9todo que era vulnerable a un ataque de temporizaci\u00f3n. La validaci\u00f3n de clave API utiliza una comparaci\u00f3n de cadenas que tarda m\u00e1s cuanto m\u00e1s caracteres correctos obtiene la clave API proporcionada. El an\u00e1lisis de datos a trav\u00e9s de muchos intentos podr\u00eda permitir a un atacante determinar cu\u00e1ndo encuentra el siguiente car\u00e1cter correcto en la secuencia de la clave. Las implementaciones que dependen de la validaci\u00f3n de clave API integrada de vLLM son vulnerables a la omisi\u00f3n de autenticaci\u00f3n utilizando esta t\u00e9cnica. La versi\u00f3n 0.11.0rc2 corrige el problema."
}
],
"id": "CVE-2025-59425",
"lastModified": "2026-10-19T16:10:00.260",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-59425",
"options": [
{
"exploitation": "none"
},
{
"automatable": "yes"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-10-07T14:32:10.348830Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-10-07T14:15:38.950",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Product"
],
"url": "https://github.com/vllm-project/vllm/blob/4b946d693e0af15740e9ca9c0e059d5f333b1083/vllm/entrypoints/openai/api_server.py#L1270-L1274"
},
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/vllm-project/vllm/commit/ee10d7e6ff5875386c7f136ce8b5f525c8fcef48"
},
{
"source": "security-advisories@github.com",
"tags": [
"Release Notes"
],
"url": "https://github.com/vllm-project/vllm/releases/tag/v0.11.0"
},
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-wr9h-g72x-mwhm"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-385"
}
],
"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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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