{"id":"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.","aliases":["BIT-mlflow-2024-27133","GHSA-3v79-q7ph-j75h","PYSEC-2024-241"],"modified":"2026-08-12T03:30:12.194106526Z","published":"2024-02-23T22:00:33.124Z","database_specific":{"cna_assigner":"JFROG","cwe_ids":["CWE-79"],"osv_generated_from":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2024/27xxx/CVE-2024-27133.json"},"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"}],"affected":[{"ranges":[{"type":"GIT","repo":"https://github.com/mlflow/mlflow","events":[{"introduced":"0"},{"last_affected":"6ca72469b289e77acc2f1201ca39237fc025c090"}],"database_specific":{"source":["AFFECTED_FIELD","CPE_RANGE"],"cpe":"cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*","extracted_events":[{"introduced":"0"},{"last_affected":"2.9.2"}]}}],"versions":["v2.9.2","v2.9.1","v2.9.0","v2.2.0","v1.7.0","1.0.0","v0.8.1","v0.8.0","v0.7","v0.6.0","v0.5.0","v0.4.2","v0.4.1","v0.4.0","v0.3.0","v0.2.1","v0.2.0"],"database_specific":{"source":"https://storage.googleapis.com/osv-test-cve-osv-conversion/osv-output/CVE-2024-27133.json"}}],"schema_version":"1.9.0","severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H"}]}