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CVE-2025-48887

Estado: AnalizadaMedia (6.5)—

vLLM, an inference and serving engine for large language models (LLMs), has a Regular Expression Denial of Service (ReDoS) vulnerability in the file `vllm/entrypoints/openai/tool_parsers/pythonic_tool_parser.py` of versions 0.6.4 up to but excluding 0.9.0. The root cause is the use of a highly complex and nested regular expression for tool call detection, which can be exploited by an attacker to cause severe performance degradation or make the service unavailable. The pattern contains multiple nested quantifiers, optional groups, and inner repetitions which make it vulnerable to catastrophic backtracking. Version 0.9.0 contains a patch for the issue.

CVSS

Probabilidad de explotación (EPSS)

EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).

Tecnologías afectadas (1)

Vllm — Vllm

CWE

Referencias

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  "id": "CVE-2025-48887",
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  "metrics": {
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          "id": "CVE-2025-48887",
          "role": "CISA Coordinator",
          "options": [
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              "exploitation": "poc"
            },
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              "automatable": "no"
            },
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              "technicalImpact": "partial"
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          "version": "2.0.3",
          "timestamp": "2025-05-30T17:58:00.784274Z"
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          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
          "integrityImpact": "NONE",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "confidentialityImpact": "NONE"
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  "published": "2025-05-30T18:15:32.500",
  "references": [
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      "url": "https://github.com/vllm-project/vllm/commit/4fc1bf813ad80172c1db31264beaef7d93fe0601",
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          "value": "CWE-1333"
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  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "vLLM, an inference and serving engine for large language models (LLMs), has a Regular Expression Denial of Service (ReDoS) vulnerability in the file `vllm/entrypoints/openai/tool_parsers/pythonic_tool_parser.py` of versions 0.6.4 up to but excluding 0.9.0. The root cause is the use of a highly complex and nested regular expression for tool call detection, which can be exploited by an attacker to cause severe performance degradation or make the service unavailable. The pattern contains multiple nested quantifiers, optional groups, and inner repetitions which make it vulnerable to catastrophic backtracking. Version 0.9.0 contains a patch for the issue."
    },
    {
      "lang": "es",
      "value": "vLLM, un motor de inferencia y servicio para modelos de lenguaje grandes (LLM), presenta una vulnerabilidad de denegación de servicio por expresión regular (ReDoS) en el archivo `vllm/entrypoints/openai/tool_parsers/pythonic_tool_parser.py` de las versiones 0.6.4 a 0.9.0, excepto esta última. La causa principal es el uso de una expresión regular anidada y altamente compleja para la detección de llamadas a herramientas, que un atacante puede explotar para causar una degradación grave del rendimiento o inhabilitar el servicio. El patrón contiene múltiples cuantificadores anidados, grupos opcionales y repeticiones internas, lo que lo hace vulnerable a un retroceso catastrófico. La versión 0.9.0 incluye un parche para este problema."
    }
  ],
  "lastModified": "2026-06-17T09:30:26.173",
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