MLFlow Cross-site Scripting vulnerability leads to client-side Remote Code Execution
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.
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describes (1)
Related CVEs.
| ID | severity | exploitable | ||
|---|---|---|---|---|
| CVE-2024-27133US | critical9.6 | — | ||
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 Note… | ||||
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references
External citations — patches, advisories, analysis.
- https://github.com/mlflow/mlflowPACKAGE
- https://github.com/mlflow/mlflow/commit/c43823750bffa5b6abcc086683b15a068513b67bWEB
- https://github.com/mlflow/mlflow/commit/cfa71879a884cc3520e23ccab998c9aa78fdf2b1WEB
- https://github.com/mlflow/mlflow/pull/10893WEB
- https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-241.yamlWEB
- https://nvd.nist.gov/vuln/detail/CVE-2024-27133ADVISORY
- https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932WEB
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