Vulnerability 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.
CVSS Score
HIGH
Related Weaknesses (CWE)
References
- https://github.com/mlflow/mlflow/commit/1dcbb0c2fbd1f446c328830e601ca13a28219b8a
- https://huntr.com/bounties/648dc30b-76c7-4433-86b8-f43d926fd8d6
- https://huntr.com/bounties/648dc30b-76c7-4433-86b8-f43d926fd8d6
FAQ
What is CVE-2026-4137?
CVE-2026-4137 is a vulnerability with a CVSS score of 7.0 (HIGH). 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 `_c...
How severe is CVE-2026-4137?
CVE-2026-4137 has been rated HIGH with a CVSS base score of 7.0/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-4137?
Check the references section above for vendor advisories and patch information. Review vendor security bulletins for remediation guidance.