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MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution

High severity GitHub Reviewed Published Feb 24, 2024 to the GitHub Advisory Database • Updated Aug 6, 2024

Package

pip mlflow (pip)

Affected versions

< 2.10.0

Patched versions

2.10.0

Description

Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.

References

Published by the National Vulnerability Database Feb 23, 2024
Published to the GitHub Advisory Database Feb 24, 2024
Reviewed Feb 27, 2024
Last updated Aug 6, 2024

Severity

High
7.5
/ 10

CVSS base metrics

Attack vector
Network
Attack complexity
High
Privileges required
None
User interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H

EPSS score

0.043%
(10th percentile)

Weaknesses

CVE ID

CVE-2024-27133

GHSA ID

GHSA-3v79-q7ph-j75h

Source code

Credits

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