Information Exposure Affecting mlflow package, versions [2.0.0,2.9.0)


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
1.5% (88th percentile)

Do your applications use this vulnerable package?

In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.

Test your applications
  • Snyk IDSNYK-PYTHON-MLFLOW-6099131
  • published5 Dec 2023
  • disclosed5 Dec 2023
  • creditJoseph Beeton

Introduced: 5 Dec 2023

CVE-2023-43472  (opens in a new tab)
CWE-200  (opens in a new tab)

How to fix?

Upgrade mlflow to version 2.9.0 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 Information Exposure via a request to the REST API using text/plain content type, which is passed unvalidated. An attacker can obtain sensitive information by redirecting output to an arbitrary artifact_location that they control.

CVSS Scores

version 3.1