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CVE-2024-37057

Status: AnalyzedHigh (8.8)—

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’s system when interacted with.

CVSS

Exploitation probability (EPSS)

EPSS (Exploit Prediction Scoring System, FIRST) estimates how likely a vulnerability is to be exploited in the wild within 30 days. It complements CVSS (impact) and CISA KEV (confirmed exploitation).

Affected technologies (1)

Lfprojects — Mlflow

CWEs

References

Raw JSON (NVD)

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{
  "id": "CVE-2024-37057",
  "cveTags": [],
  "metrics": {
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2024-37057",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2024-07-19T13:52:51.455258Z"
        }
      }
    ],
    "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": "2.0.0rc0",
              "versionType": "semver",
              "lessThanOrEqual": "*"
            }
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          "packageName": "mlflow",
          "defaultStatus": "unaffected"
        }
      ]
    },
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      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "affectedData": [
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          ],
          "vendor": "lfprojects",
          "product": "mlflow",
          "versions": [
            {
              "status": "affected",
              "version": "2.0.0rc0",
              "versionType": "semver",
              "lessThanOrEqual": "*"
            }
          ],
          "defaultStatus": "unknown"
        }
      ]
    }
  ],
  "published": "2024-06-04T12:15:11.800",
  "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 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow 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 2.0.0rc0 o posterior, lo que permite que un modelo de Tensorflow cargado maliciosamente ejecute código arbitrario en el sistema de un usuario final cuando interactúa con él."
    }
  ],
  "lastModified": "2026-06-17T07:37:41.610",
  "configurations": [
    {
      "nodes": [
        {
          "negate": false,
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
              "vulnerable": true,
              "matchCriteriaId": "E9F5521A-2CCF-4B25-926F-DE7660BF7741",
              "versionStartIncluding": "2.0.0"
            }
          ],
          "operator": "OR"
        }
      ]
    }
  ],
  "sourceIdentifier": "6f8de1f0-f67e-45a6-b68f-98777fdb759c"
}