PYSEC-2024-240
Dashboard / Vulnerabilities / PYSEC-2024-240
PYSEC-2024-240
Published: 23 Feb 2024Last Modified: 10 Jun 2026
Summary:
Details: Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe. This issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over template variables.
References: https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/, https://github.com/mlflow/mlflow/pull/10873, https://github.com/mlflow/mlflow/pull/10873, https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/, https://github.com/advisories/GHSA-6749-m5cp-6cg7
Affected packages
Package
Name: mlflow
Purl: pkg:pypi/mlflow
Affected ranges
Type: ECOSYSTEM
Events:
Introduced- 0
Fixed -2.10.0
Affected versions
0.0.1
Common Vulnerability Scoring System
Attack Vector
Network
Adjacent
Local
Physical
Privileges Required
None
Low
High
User Interaction
None
Required
Scope
Unchanged
Changed
Confidentiality
None
Low
High
Integrity
None
Low
High
Availability
None
Low
High
