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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.
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Title: mlflow/mlflow de mlflow, Description: 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.
New CVE Received from huntr.dev5/18/2026 5:16:40 PM
Action
Type
Old Value
New Value
Added
Description
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.