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CVE-2025-62372

Estado: AnalizadaAlta (8.3)—

vLLM is an inference and serving engine for large language models (LLMs). From version 0.5.5 to before 0.11.1, users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape (e.g. hidden dimension is wrong), regardless of whether the model is intended to support such inputs (as defined in the Supported Models page). This issue has been patched in version 0.11.1.

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).

🎯 Técnicas ATT&CK

Cómo se explota esta vulnerabilidad y qué consigue el atacante, en el lenguaje de MITRE ATT&CK.

Acceso de red con privilegios (PR:L) a servicio remoto vLLM; impacto de disponibilidad (VA:H) por crash del motor de inferencia mediante entrada malformada.

Inferido por nuestro agente de análisis a partir de la descripción oficial, el vector CVSS y la CWE, y comprobado por un supervisor. Puede contener errores.

🛡️ Mitigaciones ATT&CK que cubren estas técnicas

Vulnerability ScanningThreat Intelligence ProgramPrivileged Account ManagementNetwork SegmentationFilter Network TrafficDisable or Remove Feature or Program

Tecnologías afectadas (1)

Vllm — Vllm

CWE

Referencias

JSON original (NVD)

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  "cveTags": [],
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          "id": "CVE-2025-62372",
          "role": "CISA Coordinator",
          "options": [
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              "exploitation": "none"
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            {
              "automatable": "no"
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              "technicalImpact": "partial"
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          "version": "2.0.3",
          "timestamp": "2025-11-24T17:07:55.989854Z"
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          "integrityImpact": "NONE",
          "userInteraction": "NONE",
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          "privilegesRequired": "LOW",
          "confidentialityImpact": "NONE"
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        "type": "Secondary",
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          "version": "4.0",
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          "valueDensity": "NOT_DEFINED",
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          "modifiedSubAvailabilityImpact": "NOT_DEFINED",
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          "modifiedSubConfidentialityImpact": "NOT_DEFINED",
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  "published": "2025-11-21T02:15:43.393",
  "references": [
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      "url": "https://github.com/vllm-project/vllm/commit/58fab50d82838d5014f4a14d991fdb9352c9c84b",
      "tags": [
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      "url": "https://github.com/vllm-project/vllm/pull/6613",
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      "description": [
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          "value": "CWE-129"
        }
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    }
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      "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, users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape (e.g. hidden dimension is wrong), regardless of whether the model is intended to support such inputs (as defined in the Supported Models page). This issue has been patched in version 0.11.1."
    }
  ],
  "lastModified": "2026-06-17T09:51:47.210",
  "configurations": [
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