cve/2024/CVE-2024-27133.md

### [CVE-2024-27133](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2024-27133)
![](https://img.shields.io/static/v1?label=Product&message=n%2Fa&color=blue)
![](https://img.shields.io/static/v1?label=Version&message=n%2Fa&color=blue)
![](https://img.shields.io/static/v1?label=Vulnerability&message=CWE-79%20Improper%20Neutralization%20of%20Input%20During%20Web%20Page%20Generation%20('Cross-site%20Scripting')&color=brighgreen)

### 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.

### POC

#### Reference
- https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/

#### Github
- https://github.com/fkie-cad/nvd-json-data-feeds