FKIE_CVE-2024-37060

Vulnerability from fkie_nvd - Published: 2024-06-04 12:15 - Updated: 2026-06-17 07:37
Severity
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
8.8 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Summary
Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user’s system when run.
References
6f8de1f0-f67e-45a6-b68f-98777fdb759chttps://hiddenlayer.com/sai-security-advisory/mlflow-june2024Exploit, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://hiddenlayer.com/sai-security-advisory/mlflow-june2024Exploit, Third Party Advisory
Impacted products
Vendor Product Version
lfprojects mlflow *
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "defaultStatus": "unaffected",
          "packageName": "mlflow",
          "product": "MLflow",
          "repo": "https://github.com/mlflow/mlflow",
          "vendor": "MLflow",
          "versions": [
            {
              "lessThanOrEqual": "*",
              "status": "affected",
              "version": "1.27.0",
              "versionType": "semver"
            }
          ]
        }
      ],
      "source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c"
    },
    {
      "affectedData": [
        {
          "cpes": [
            "cpe:2.3:a:lfprojects:mlflow:1.27.0:*:*:*:*:*:*:*"
          ],
          "defaultStatus": "unknown",
          "product": "mlflow",
          "vendor": "lfprojects",
          "versions": [
            {
              "lessThanOrEqual": "*",
              "status": "affected",
              "version": "1.27.0",
              "versionType": "semver"
            }
          ]
        }
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "4241DDBF-AB24-44C5-B4D4-8E5655ABB0B6",
              "versionStartIncluding": "1.27.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.27.0 or newer, enabling a maliciously crafted Recipe to execute arbitrary code on an end user\u2019s system when run."
    },
    {
      "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 1.27.0 o posterior, lo que permite que una receta manipulada con fines malintencionados ejecute c\u00f3digo arbitrario en el sistema de un usuario final cuando se ejecuta."
    }
  ],
  "id": "CVE-2024-37060",
  "lastModified": "2026-06-17T07:37:41.957",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
        "type": "Secondary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2024-37060",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2024-06-04T14:54:08.816308Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2024-06-04T12:15:12.463",
  "references": [
    {
      "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"
      ],
      "url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"
    }
  ],
  "sourceIdentifier": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ],
      "source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c",
      "type": "Secondary"
    },
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.