Summaryinfo

A vulnerability identified as critical has been detected in MLflow up to 3.8.x. Impacted is the function extract_archive_to_dir of the file mlflow/pyfunc/dbconnect_artifact_cache.py. This manipulation causes path traversal. The identification of this vulnerability is CVE-2025-15036. It is possible to initiate the attack remotely. There is no exploit available. You should upgrade the affected component.

Detailsinfo

A vulnerability was found in MLflow up to 3.8.x. It has been declared as critical. Affected by this vulnerability is the function extract_archive_to_dir of the file mlflow/pyfunc/dbconnect_artifact_cache.py. The manipulation with an unknown input leads to a path traversal vulnerability. The CWE definition for the vulnerability is CWE-29. The product uses external input to construct a pathname that should be within a restricted directory, but it does not properly neutralize '\..\filename' (leading backslash dot dot) sequences that can resolve to a location that is outside of that directory. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

A path traversal vulnerability exists in the `extract_archive_to_dir` function within the `mlflow/pyfunc/dbconnect_artifact_cache.py` file of the mlflow/mlflow repository. This vulnerability, present in versions before v3.7.0, arises due to the lack of validation of tar member paths during extraction. An attacker with control over the tar.gz file can exploit this issue to overwrite arbitrary files or gain elevated privileges, potentially escaping the sandbox directory in multi-tenant or shared cluster environments.

It is possible to read the advisory at huntr.com. This vulnerability is known as CVE-2025-15036 since 12/23/2025. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1006 according to MITRE ATT&CK.

Upgrading to version 3.9.0 eliminates this vulnerability. Applying the patch 3bf6d81ac4d38654c8ff012dbd0c3e9f17e7e346 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-209119). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Name

• MLflow

Version

• 3.0
• 3.1
• 3.2
• 3.3
• 3.4
• 3.5
• 3.6
• 3.7
• 3.8

License

• open-source

Website

• Product: https://github.com/mlflow/mlflow/

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