Improper Access Control Affecting mlflow package, versions [,2.12.1)
Threat Intelligence
Exploit Maturity
Proof of concept
EPSS
0.04% (11th
percentile)
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Test your applications- Snyk ID SNYK-PYTHON-MLFLOW-6859930
- published 16 May 2024
- disclosed 16 May 2024
- credit Aditya Singh
Introduced: 16 May 2024
CVE-2024-4263 Open this link in a new tabHow to fix?
Upgrade mlflow to version 2.12.1 or higher.
Overview
mlflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models.
Affected versions of this package are vulnerable to Improper Access Control due to improper validation for DELETE requests for EDIT user permission. A low privilege attacker can delete artefacts without permission.
References
CVSS Scores
version 3.1