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CVE-2024-37054

Estado: AnalizadaAlta (8.8)—💥 PoC

Deserialization of untrusted data can occur in versions of the MLflow platform running version 0.9.0 or newer, enabling a maliciously uploaded PyFunc 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).

💥 Exploits públicos

Hay código de explotación o plantillas de detección públicos. No es lo mismo que explotación activa confirmada (KEV), pero aumenta el riesgo: parchee con prioridad.

⚠️ Las pruebas de concepto de GitHub no están verificadas: algunas son falsas o contienen malware. No las ejecute nunca fuera de un laboratorio aislado.

Tecnologías afectadas (1)

Lfprojects — Mlflow

CWE

Referencias

JSON original (NVD)

Mostrar
{
  "id": "CVE-2024-37054",
  "cveTags": [],
  "metrics": {
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2024-37054",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2024-06-06T15:01:38.249209Z"
        }
      }
    ],
    "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",
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          "confidentialityImpact": "HIGH"
        },
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  "affected": [
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      "affectedData": [
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          "vendor": "MLflow",
          "product": "MLflow",
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            {
              "status": "affected",
              "version": "0.9.0",
              "versionType": "semver",
              "lessThanOrEqual": "*"
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      "affectedData": [
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          "vendor": "lfprojects",
          "product": "mlflow",
          "versions": [
            {
              "status": "affected",
              "version": "0.9.0",
              "versionType": "custom",
              "lessThanOrEqual": "*"
            }
          ],
          "defaultStatus": "unknown"
        }
      ]
    }
  ],
  "published": "2024-06-04T12:15:11.190",
  "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 0.9.0 or newer, enabling a maliciously uploaded PyFunc 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 0.9.0 o posterior, lo que permite que un modelo PyFunc cargado maliciosamente ejecute código arbitrario en el sistema de un usuario final cuando interactúa con él."
    }
  ],
  "lastModified": "2026-06-17T07:37:41.117",
  "configurations": [
    {
      "nodes": [
        {
          "negate": false,
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
              "vulnerable": true,
              "matchCriteriaId": "E10BF8AE-F58F-44F2-9BDB-B74DD0B9F651",
              "versionStartIncluding": "0.9.0"
            }
          ],
          "operator": "OR"
        }
      ]
    }
  ],
  "sourceIdentifier": "6f8de1f0-f67e-45a6-b68f-98777fdb759c"
}