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.
01
beschreibt (1)
Zugehörige CVEs.
| ID | Schweregrad | ausnutzbar | ||
|---|---|---|---|---|
| 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… | ||||
02
Referenzen
Externe Belege — Patches, Meldungen, Analysen.
- 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
scry
Advisories wie diese benennen die exponierten Produkte, die Angreifer auf Ihrer Angriffsfläche ins Visier nehmen. Sehen Sie mit einem kostenlosen Passiv-Scan, was exponiert ist.
Kostenloser Scan