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.