{"action":"Upgrade mlflow to 2.10.0 or later.","affected":[{"fixed":"2.10.0","introduced":"0"}],"component":"mlflow","cve_ids":["CVE-2024-27133"],"ecosystem":"PyPI","epss":0.00656,"exploited":false,"fixed_versions":["2.10.0"],"ghsa_id":"GHSA-3v79-q7ph-j75h","id":"tcs_01M5KGMP7B4FXTKTHJXTJVR3SX","modified_at":"2026-06-10T17:01:26.483700507Z","published_at":"2024-02-23T22:15:55Z","references":["https://osv.dev/vulnerability/PYSEC-2024-241","https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/","https://github.com/mlflow/mlflow/pull/10893","https://github.com/advisories/GHSA-3v79-q7ph-j75h"],"severity":{"label":"critical","score":9.6},"sources":[{"source":"osv","source_id":"PYSEC-2024-241","url":"https://osv.dev/vulnerability/PYSEC-2024-241"}],"summary":"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 vulnerabil"}