MLFlow path traversal vulnerability
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.
Affected software
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| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | mlflow | < 3.9.0rc0 | 3.9.0rc0 |
References
- https://nvd.nist.gov/vuln/detail/CVE-2025-15036
- https://github.com/mlflow/mlflow/commit/3bf6d81ac4d38654c8ff012dbd0c3e9f17e7e346
- https://github.com/mlflow/mlflow
- https://huntr.com/bounties/36c314cf-fd6e-4fb0-b9b0-1b47bcdf0eb0
- https://pypi.org/project/mlflow
- https://github.com/advisories/GHSA-vhcx-3pq2-4fvc
- CVSS vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H- Weakness (CWE)
CWE-29- Platform
- Python (PyPI)
- Package
mlflow- Disclosed
- 30.03.2026
- Updated
- 11.10.2026 15:17
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-425 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-vhcx-3pq2-4fvc - CC BY 4.0
Vulnerability history: mlflow
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 82
- First → latest
- 02.2022 09.2026
- Without a fix
- 18
- Exploited in attacks
- 1
Severity breakdown
- Critical 20
- High 48
- Medium 13
- Low 1
Disclosures per year
- 2022: 1
- 2023: 22
- 2024: 24
- 2025: 8
- 2026: 27
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MLFlow path traversal vulnerability this entry
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