Improper Access Control Affecting mlflow package, versions [,2.9.2)
Threat Intelligence
Exploit Maturity
Proof of concept
EPSS
0.12% (47th
percentile)
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Test your applications- Snyk ID SNYK-PYTHON-MLFLOW-6134600
- published 21 Dec 2023
- disclosed 20 Dec 2023
- credit kevin-mizu
Introduced: 20 Dec 2023
CVE-2023-6975 Open this link in a new tabHow to fix?
Upgrade mlflow to version 2.9.2 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 via a specially crafted path input that exploits improper neutralization of special elements through the FTP model. An attacker can gain unauthorized read or write access to files on the server by submitting a path with directory traversal sequences.
References
CVSS Scores
version 3.1