GitHub Advisoryadvisory · PyPI
GHSA-3v79-q7ph-j75h MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution
CRITICAL
Official page ↗
- Aliases
- CVE-2024-27133
- Ecosystem
- PyPI
- Packages
- mlflow
- Severity
- Critical
- CVSS vector
- CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
- Weaknesses
- CWE-79
- Reviewed
- 2024-02-27
Affected packages
• PyPI mlflow: < 2.10.0 → fixed in 2.10.0
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.
Related
Alias · CVE (1)
- CVE-2024-27133 Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. vulnerability
Weakness · CWE (1)
- CWE-79 Improper Neutralization of Input During Web Page Generation weakness
References
- https://nvd.nist.gov/vuln/detail/CVE-2024-27133 advisory
- https://github.com/mlflow/mlflow/pull/10893 web
- https://github.com/mlflow/mlflow/commit/c43823750bffa5b6abcc086683b15a068513b67b web
- https://github.com/mlflow/mlflow/commit/cfa71879a884cc3520e23ccab998c9aa78fdf2b1 web
- https://github.com/mlflow/mlflow package
- https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-241.yaml web
- https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932 web