{
  "affected": [
    {
      "affectedData": [
        {
          "product": "mlflow/mlflow",
          "vendor": "mlflow",
          "versions": [
            {
              "lessThan": "3.11.0",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "source": "security@huntr.dev"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "6EFB4C88-58E2-416A-95A7-FA6C4CDF4288",
              "versionEndExcluding": "3.11.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "In mlflow/mlflow versions prior to 3.11.0, the `get_or_create_nfs_tmp_dir()` function in `mlflow/utils/file_utils.py` creates temporary directories with world-writable permissions (0o777), and the `_create_model_downloading_tmp_dir()` function in `mlflow/pyfunc/__init__.py` creates directories with group-writable permissions (0o770). These insecure permissions allow local attackers to tamper with model artifacts, such as cloudpickle-serialized Python objects, and achieve arbitrary code execution when the tampered artifacts are deserialized via `cloudpickle.load()`. This vulnerability is particularly critical in environments with shared NFS mounts, such as Databricks, where NFS is enabled by default. The issue is a continuation of the vulnerability class addressed in CVE-2025-10279, which was only partially fixed."
    },
    {
      "lang": "es",
      "value": "En versiones de mlflow/mlflow anteriores a la 3.11.0, la funci\u00f3n \u0027get_or_create_nfs_tmp_dir()\u0027 en \u0027mlflow/utils/file_utils.py\u0027 crea directorios temporales con permisos de escritura para todos (0o777), y la funci\u00f3n \u0027_create_model_downloading_tmp_dir()\u0027 en \u0027mlflow/pyfunc/__init__.py\u0027 crea directorios con permisos de escritura para el grupo (0o770). Estos permisos inseguros permiten a atacantes locales manipular artefactos del modelo, como objetos Python serializados con cloudpickle, y lograr ejecuci\u00f3n de c\u00f3digo arbitrario cuando los artefactos manipulados son deserializados a trav\u00e9s de \u0027cloudpickle.load()\u0027. Esta vulnerabilidad es particularmente cr\u00edtica en entornos con montajes NFS compartidos, como Databricks, donde NFS est\u00e1 habilitado por defecto. El problema es una continuaci\u00f3n de la clase de vulnerabilidad abordada en CVE-2025-10279, que solo fue parcialmente corregida."
    }
  ],
  "id": "CVE-2026-4137",
  "lastModified": "2026-07-24T12:10:00.210",
  "metrics": {
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 7.0,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 1.0,
        "impactScore": 5.9,
        "source": "security@huntr.dev",
        "type": "Secondary"
      }
    ],
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 7.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-4137",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-05-19T12:47:50.311629Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-05-18T21:16:40.710",
  "references": [
    {
      "source": "security@huntr.dev",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/mlflow/mlflow/commit/1dcbb0c2fbd1f446c328830e601ca13a28219b8a"
    },
    {
      "source": "security@huntr.dev",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://huntr.com/bounties/648dc30b-76c7-4433-86b8-f43d926fd8d6"
    },
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "tags": [
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        "Third Party Advisory"
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      "url": "https://huntr.com/bounties/648dc30b-76c7-4433-86b8-f43d926fd8d6"
    }
  ],
  "sourceIdentifier": "security@huntr.dev",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-378"
        }
      ],
      "source": "security@huntr.dev",
      "type": "Secondary"
    }
  ]
}