CVE-2024-4263: MLflow allows low privilege users to delete any artifact
A broken access control vulnerability exists in mlflow/mlflow versions before 2.10.1, where low privilege users with only EDIT permissions on an experiment can delete any artifacts. This issue arises due to the lack of proper validation for DELETE requests by users with EDIT permissions, allowing them to perform unauthorized deletions of artifacts.
Published May 16, 2024
Affected packages
mlflow
- Ecosystem
- PyPI
- Affected
- < 2.10.1
- Fixed in
- 2.10.1
- Check
pip show mlflow
Advisory details
From the GitHub Advisory Database (CC BY 4.0).
A broken access control vulnerability exists in mlflow/mlflow versions before 2.10.1, where low privilege users with only EDIT permissions on an experiment can delete any artifacts. This issue arises due to the lack of proper validation for DELETE requests by users with EDIT permissions, allowing them to perform unauthorized deletions of artifacts. The vulnerability specifically affects the handling of artifact deletions within the application, as demonstrated by the ability of a low privilege user to delete a directory inside an artifact using a DELETE request, despite the official documentation stating that users with EDIT permission can only read and update artifacts, not delete them.
References
- https://nvd.nist.gov/vuln/detail/CVE-2024-4263
- https://github.com/mlflow/mlflow/commit/b43e0e3de5b500554e13dc032ba2083b2d6c94b8
- https://huntr.com/bounties/bfa116d3-2af8-4c4a-ac34-ccde7491ae11
- https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-51.yaml
- https://github.com/advisories/GHSA-p4jx-q62p-x5jr
How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology
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