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
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.
Affected software
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| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | mlflow | < 2.10.1 | 2.10.1 |
References
- https://nvd.nist.gov/vuln/detail/CVE-2024-4263
- https://github.com/mlflow/mlflow/commit/b43e0e3de5b500554e13dc032ba2083b2d6c94b8
- https://github.com/mlflow/mlflow
- https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-51.yaml
- https://huntr.com/bounties/bfa116d3-2af8-4c4a-ac34-ccde7491ae11
- https://github.com/advisories/GHSA-p4jx-q62p-x5jr
- CVSS vector
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L- Weakness (CWE)
CWE-284- Platform
- Python (PyPI)
- Package
mlflow- Disclosed
- 16.05.2024
- Updated
- 11.10.2026 12:20
Sources and licenses
OSV / GitHub Advisory Database - GHSA-p4jx-q62p-x5jr - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2024-51 - PyPA Advisory Database; 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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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 this entry
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