CVE-2024-27133: Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads

MLflow, a machine learning platform, has a vulnerability where it doesn't properly clean user input from dataset tables, allowing XSS (cross-site scripting, where attackers inject malicious code into web pages). When someone runs a recipe using an untrusted dataset in Jupyter Notebook, this can lead to RCE (remote code execution, where an attacker can run commands on the user's computer).