CVE-2025-13714

{
  "id": "CVE-2025-13714",
  "sourceIdentifier": "[email protected]",
  "published": "2025-12-23T22:15:46.200",
  "lastModified": "2026-10-19T22:10:00.130",
  "vulnStatus": "Deferred",
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Tencent MedicalNet generate_model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Tencent MedicalNet. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file.\n\nThe specific flaw exists within the generate_model function. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27192."
    },
    {
      "lang": "es",
      "value": "Vulnerabilidad de deserialización de datos no confiables y ejecución remota de código en Tencent MedicalNet generate_model. Esta vulnerabilidad permite a atacantes remotos ejecutar código arbitrario en instalaciones afectadas de Tencent MedicalNet. Se requiere interacción del usuario para explotar esta vulnerabilidad, ya que el objetivo debe visitar una página maliciosa o abrir un archivo malicioso.\\n\\nEl fallo específico existe dentro de la función generate_model. El problema resulta de la falta de validación adecuada de los datos suministrados por el usuario, lo que puede provocar la deserialización de datos no confiables. Un atacante puede aprovechar esta vulnerabilidad para ejecutar código en el contexto de root. Fue ZDI-CAN-27192."
    }
  ],
  "affected": [
    {
      "source": "[email protected]",
      "affectedData": [
        {
          "vendor": "Tencent",
          "product": "MedicalNet",
          "defaultStatus": "unknown",
          "versions": [
            {
              "version": "18c8bb6cd564eb1b964bffef1f4c2283f1ae6e7b",
              "status": "affected"
            }
          ]
        }
      ]
    }
  ],
  "metrics": {
    "cvssMetricV30": [
      {
        "source": "[email protected]",
        "type": "Secondary",
        "cvssData": {
          "version": "3.0",
          "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "baseScore": 7.8,
          "baseSeverity": "HIGH",
          "attackVector": "LOCAL",
          "attackComplexity": "LOW",
          "privilegesRequired": "NONE",
          "userInteraction": "REQUIRED",
          "scope": "UNCHANGED",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "availabilityImpact": "HIGH"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 5.9
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "timestamp": "2025-12-30T21:24:23.668780Z",
          "id": "CVE-2025-13714",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "version": "2.0.3"
        }
      }
    ]
  },
  "weaknesses": [
    {
      "source": "[email protected]",
      "type": "Secondary",
      "description": [
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ]
    }
  ],
  "references": [
    {
      "url": "https://github.com/Tencent/MedicalNet/commit/1679f7ced8fd3e9ce1acc3b86cd840b5abdaa836",
      "source": "[email protected]"
    },
    {
      "url": "https://www.zerodayinitiative.com/advisories/ZDI-25-1031/",
      "source": "[email protected]"
    }
  ]
}