VDB
KO
HIGH 7.0

GHSA-f2m9-wcf4-cwwx

MLFlow Creates a Temporary File With Insecure Permissions

Details

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.

Are you affected?

Enter the version of the package you're using.

Affected packages

PyPI / mlflow
Introduced in: 0 Fixed in: 3.11.0
Fix pip install --upgrade 'mlflow>=3.11.0'

References