{"id":"CVE-2024-27133","aliases":["BIT-mlflow-2024-27133","GHSA-3v79-q7ph-j75h","PYSEC-2024-241"],"url":"https://o3.security/vulnerability/CVE-2024-27133","summary":"Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.","details":"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.","published":"2024-02-23T22:00:33.124Z","modified":"2026-08-08T03:47:30.322269407Z","cvss":{"score":7.5,"severity":"HIGH","vector":"CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H"},"epss":null,"cisaKev":null,"exploitsKnown":1,"affectedPackages":[{"ecosystem":"PyPI","name":"mlflow","fixedVersion":"2.10.0"}],"fix":{"url":"https://github.com/mlflow/mlflow/pull/10893","label":"mlflow/mlflow#10893"},"references":[{"type":"WEB","url":"https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/"},{"type":"ADVISORY","url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2024/27xxx/CVE-2024-27133.json"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2024-27133"},{"type":"FIX","url":"https://github.com/mlflow/mlflow/pull/10893"},{"type":"PACKAGE","url":"https://pypi.org/project/pip"}],"provenance":{"sources":["OSV.dev","FIRST.org (EPSS)"],"lastVerified":"2026-08-08T03:47:30.322269407Z"}}