« Volver al listado

CVE-2026-4137

Estado: AnalizadaAlta (7.8)—

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()`.

Leer descripción completaMostrar menos

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.

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).

🎯 Técnicas ATT&CK

Cómo se explota esta vulnerabilidad y qué consigue el atacante, en el lenguaje de MITRE ATT&CK.

AV:L/PR:L sin UI indica escalada local. Permisos inseguros (0o777, 0o770) en directorios NFS permiten manipular artefactos pickle desérializados → RCE. Impactos: ejecución de código (cloudpickle.load), corrupción de modelos (tampering), acceso a datos en directorios compartidos.

Inferido por nuestro agente de análisis a partir de la descripción oficial, el vector CVSS y la CWE, y comprobado por un supervisor. Puede contener errores.

🛡️ Mitigaciones ATT&CK que cubren estas técnicas

Privileged Account ManagementExecution PreventionUser Account ManagementThreat Intelligence ProgramRestrict Web-Based ContentNetwork Segmentation

Tecnologías afectadas (1)

Lfprojects — Mlflow

CWE

Referencias

JSON original (NVD)

Mostrar
{
  "id": "CVE-2026-4137",
  "cveTags": [],
  "metrics": {
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-4137",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2026-05-19T12:47:50.311629Z"
        }
      }
    ],
    "cvssMetricV30": [
      {
        "type": "Secondary",
        "source": "security@huntr.dev",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.0",
          "baseScore": 7,
          "attackVector": "LOCAL",
          "baseSeverity": "HIGH",
          "vectorString": "CVSS:3.0/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "integrityImpact": "HIGH",
          "userInteraction": "NONE",
          "attackComplexity": "HIGH",
          "availabilityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "confidentialityImpact": "HIGH"
        },
        "impactScore": 5.9,
        "exploitabilityScore": 1
      }
    ],
    "cvssMetricV31": [
      {
        "type": "Primary",
        "source": "nvd@nist.gov",
        "cvssData": {
          "scope": "UNCHANGED",
          "version": "3.1",
          "baseScore": 7.8,
          "attackVector": "LOCAL",
          "baseSeverity": "HIGH",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "integrityImpact": "HIGH",
          "userInteraction": "NONE",
          "attackComplexity": "LOW",
          "availabilityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "confidentialityImpact": "HIGH"
        },
        "impactScore": 5.9,
        "exploitabilityScore": 1.8
      }
    ]
  },
  "affected": [
    {
      "source": "security@huntr.dev",
      "affectedData": [
        {
          "vendor": "mlflow",
          "product": "mlflow/mlflow",
          "versions": [
            {
              "status": "affected",
              "version": "unspecified",
              "lessThan": "3.11.0",
              "versionType": "custom"
            }
          ]
        }
      ]
    }
  ],
  "published": "2026-05-18T21:16:40.710",
  "references": [
    {
      "url": "https://github.com/mlflow/mlflow/commit/1dcbb0c2fbd1f446c328830e601ca13a28219b8a",
      "tags": [
        "Patch"
      ],
      "source": "security@huntr.dev"
    },
    {
      "url": "https://huntr.com/bounties/648dc30b-76c7-4433-86b8-f43d926fd8d6",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "source": "security@huntr.dev"
    },
    {
      "url": "https://huntr.com/bounties/648dc30b-76c7-4433-86b8-f43d926fd8d6",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"
    }
  ],
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "type": "Secondary",
      "source": "security@huntr.dev",
      "description": [
        {
          "lang": "en",
          "value": "CWE-378"
        }
      ]
    }
  ],
  "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 función 'get_or_create_nfs_tmp_dir()' en 'mlflow/utils/file_utils.py' crea directorios temporales con permisos de escritura para todos (0o777), y la función '_create_model_downloading_tmp_dir()' en 'mlflow/pyfunc/__init__.py' 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 ejecución de código arbitrario cuando los artefactos manipulados son deserializados a través de 'cloudpickle.load()'. Esta vulnerabilidad es particularmente crítica en entornos con montajes NFS compartidos, como Databricks, donde NFS está habilitado por defecto. El problema es una continuación de la clase de vulnerabilidad abordada en CVE-2025-10279, que solo fue parcialmente corregida."
    }
  ],
  "lastModified": "2026-07-24T12:10:00.210",
  "configurations": [
    {
      "nodes": [
        {
          "negate": false,
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
              "vulnerable": true,
              "matchCriteriaId": "6EFB4C88-58E2-416A-95A7-FA6C4CDF4288",
              "versionEndExcluding": "3.11.0"
            }
          ],
          "operator": "OR"
        }
      ]
    }
  ],
  "sourceIdentifier": "security@huntr.dev"
}