Improper Access Control Affecting mlflow package, versions [,2.9.2)


Severity

Recommended
0.0
critical
0
10

CVSS assessment made by Snyk's Security Team. Learn more

Threat Intelligence

Exploit Maturity
Proof of concept
EPSS
0.16% (55th percentile)

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  • Snyk IDSNYK-PYTHON-MLFLOW-6134600
  • published21 Dec 2023
  • disclosed20 Dec 2023
  • creditkevin-mizu

Introduced: 20 Dec 2023

CVE-2023-6975  (opens in a new tab)
CWE-29  (opens in a new tab)

How 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