{
  "id": "CVE-2024-37057",
  "sourceIdentifier": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
  "published": "2024-06-04T12:15:11.800",
  "lastModified": "2025-02-03T14:45:23.600",
  "vulnStatus": "Analyzed",
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user\u2019s system when interacted with."
    },
    {
      "lang": "es",
      "value": "La deserializaci\u00f3n de datos que no son de confianza puede ocurrir en versiones de la plataforma MLflow que ejecutan la versi\u00f3n 2.0.0rc0 o posterior, lo que permite que un modelo de Tensorflow cargado maliciosamente ejecute c\u00f3digo arbitrario en el sistema de un usuario final cuando interact\u00faa con \u00e9l."
    }
  ],
  "metrics": {
    "cvssMetricV31": [
      {
        "source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
        "type": "Secondary",
        "cvssData": {
          "version": "3.1",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "attackVector": "NETWORK",
          "attackComplexity": "LOW",
          "privilegesRequired": "NONE",
          "userInteraction": "REQUIRED",
          "scope": "UNCHANGED",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "availabilityImpact": "HIGH"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9
      },
      {
        "source": "nvd@nist.gov",
        "type": "Primary",
        "cvssData": {
          "version": "3.1",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "attackVector": "NETWORK",
          "attackComplexity": "LOW",
          "privilegesRequired": "NONE",
          "userInteraction": "REQUIRED",
          "scope": "UNCHANGED",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "availabilityImpact": "HIGH"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9
      }
    ]
  },
  "weaknesses": [
    {
      "source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
      "type": "Secondary",
      "description": [
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ]
    },
    {
      "source": "nvd@nist.gov",
      "type": "Primary",
      "description": [
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ]
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "operator": "OR",
          "negate": false,
          "cpeMatch": [
            {
              "vulnerable": true,
              "criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
              "versionStartIncluding": "2.0.0",
              "matchCriteriaId": "E9F5521A-2CCF-4B25-926F-DE7660BF7741"
            }
          ]
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  ],
  "references": [
    {
      "url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024",
      "source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ]
    },
    {
      "url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024",
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ]
    }
  ]
}