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CVE-2024-37056

Estado: AnalizadaAlta (8.8)—

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with.

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)

Lfprojects — Mlflow

CWE

Referencias

JSON original (NVD)

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{
  "id": "CVE-2024-37056",
  "cveTags": [],
  "metrics": {
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2024-37056",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2024-06-04T14:50:12.232949Z"
        }
      }
    ],
    "cvssMetricV31": [
      {
        "type": "Secondary",
        "source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 8.8,
          "attackVector": "NETWORK",
          "baseSeverity": "HIGH",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "integrityImpact": "HIGH",
          "userInteraction": "REQUIRED",
          "attackComplexity": "LOW",
          "availabilityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "confidentialityImpact": "HIGH"
        },
        "impactScore": 5.9,
        "exploitabilityScore": 2.8
      },
      {
        "type": "Primary",
        "source": "nvd@nist.gov",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 8.8,
          "attackVector": "NETWORK",
          "baseSeverity": "HIGH",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "integrityImpact": "HIGH",
          "userInteraction": "REQUIRED",
          "attackComplexity": "LOW",
          "availabilityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "confidentialityImpact": "HIGH"
        },
        "impactScore": 5.9,
        "exploitabilityScore": 2.8
      }
    ]
  },
  "affected": [
    {
      "source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
      "affectedData": [
        {
          "repo": "https://github.com/mlflow/mlflow",
          "vendor": "MLflow",
          "product": "MLflow",
          "versions": [
            {
              "status": "affected",
              "version": "1.23.0",
              "versionType": "semver",
              "lessThanOrEqual": "*"
            }
          ],
          "packageName": "mlflow",
          "defaultStatus": "unaffected"
        }
      ]
    },
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "affectedData": [
        {
          "cpes": [
            "cpe:2.3:a:lfprojects:mlflow:1.23.0:*:*:*:*:*:*:*"
          ],
          "vendor": "lfprojects",
          "product": "mlflow",
          "versions": [
            {
              "status": "affected",
              "version": "1.23.0",
              "lessThan": "*",
              "versionType": "custom"
            }
          ],
          "defaultStatus": "unknown"
        }
      ]
    }
  ],
  "published": "2024-06-04T12:15:11.593",
  "references": [
    {
      "url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c"
    },
    {
      "url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "source": "af854a3a-2127-422b-91ae-364da2661108"
    }
  ],
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "type": "Secondary",
      "source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
      "description": [
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ]
    },
    {
      "type": "Primary",
      "source": "nvd@nist.gov",
      "description": [
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ]
    }
  ],
  "descriptions": [
    {
      "lang": "en",
      "value": "Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with."
    },
    {
      "lang": "es",
      "value": "La deserialización de datos que no son de confianza puede ocurrir en versiones de la plataforma MLflow que ejecutan la versión 1.23.0 o posterior, lo que permite que un modelo scikit-learn de LightGBM cargado maliciosamente ejecute código arbitrario en el sistema de un usuario final cuando interactúa con él."
    }
  ],
  "lastModified": "2026-06-17T07:37:41.433",
  "configurations": [
    {
      "nodes": [
        {
          "negate": false,
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
              "vulnerable": true,
              "matchCriteriaId": "E256784A-86A3-4D97-9C4E-6964FBCD0B70",
              "versionStartIncluding": "1.23.0"
            }
          ],
          "operator": "OR"
        }
      ]
    }
  ],
  "sourceIdentifier": "6f8de1f0-f67e-45a6-b68f-98777fdb759c"
}