Undefined Behavior Affecting mlflow package, versions [,2.11.3)


Severity

Recommended
0.0
medium
0
10

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

Threat Intelligence

Exploit Maturity
Proof of concept
EPSS
0.04% (16th percentile)

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  • Snyk IDSNYK-PYTHON-MLFLOW-7217835
  • published7 Jun 2024
  • disclosed6 Jun 2024
  • creditdan-xzero

Introduced: 6 Jun 2024

CVE-2024-3099  (opens in a new tab)
CWE-475  (opens in a new tab)

How to fix?

Upgrade mlflow to version 2.11.3 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 Undefined Behavior due to inadequate validation of model names. An attacker can disrupt service or poison data models by creating multiple entries under the same name, exploiting URL encoding differences.

References

CVSS Scores

version 3.1