Command Injection Affecting mlflow package, versions [0,2.6.0)


Severity

Recommended
0.0
high
0
10

CVSS assessment made by Snyk's Security Team

    Threat Intelligence

    Exploit Maturity
    Proof of concept
    EPSS
    0.04% (11th percentile)

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  • Snyk ID SNYK-PYTHON-MLFLOW-5811861
  • published 1 Aug 2023
  • disclosed 1 Aug 2023
  • credit Unknown

How to fix?

Upgrade mlflow to version 2.6.0 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 Command Injection due to not properly escaping the arguments used by the predict() method in the backend.py file.

References

CVSS Scores

version 3.1
Expand this section

Snyk

Recommended
8.8 high
  • Attack Vector (AV)
    Local
  • Attack Complexity (AC)
    Low
  • Privileges Required (PR)
    Low
  • User Interaction (UI)
    None
  • Scope (S)
    Changed
  • Confidentiality (C)
    High
  • Integrity (I)
    High
  • Availability (A)
    High
Expand this section

NVD

7.8 high