CVE-2024-27132: Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.
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.
Affected Software
Remediation
Recommended actions to resolve this vulnerability, in priority order.
- Upgrade
Upgrade
pip/mlflowto a version that resolves this vulnerability.Fixed in 2.10.0
Event History
Frequently Asked Questions
What is the severity of CVE-2024-27132?
CVE-2024-27132 has been classified as a high severity vulnerability due to the potential for client-side remote code execution.
How do I fix CVE-2024-27132?
To mitigate CVE-2024-27132, upgrade to MLflow version 2.10.0 or later.
Which versions of MLflow are affected by CVE-2024-27132?
CVE-2024-27132 affects MLflow versions prior to 2.10.0 and including up to 2.9.2.
What type of vulnerability is CVE-2024-27132?
CVE-2024-27132 is an insufficient sanitization vulnerability that can lead to cross-site scripting (XSS) attacks.
In what scenario does CVE-2024-27132 pose a risk?
CVE-2024-27132 poses a risk when executing untrusted recipes in a Jupyter Notebook environment.