{"action":"Upgrade mlflow to 3.11.0rc0 or later.","affected":[{"fixed":"3.11.0rc0","introduced":"0"}],"component":"mlflow","cve_ids":["CVE-2026-33865"],"ecosystem":"PyPI","epss":0.00218,"exploited":false,"fixed_versions":["3.11.0rc0"],"ghsa_id":"GHSA-fh64-r2vc-xvhr","id":"tcs_01M5KHEEK86KERJ38J7QJ1T795","modified_at":"2026-06-10T17:02:20.155874108Z","published_at":"2026-04-07T13:16:46.840Z","references":["https://osv.dev/vulnerability/PYSEC-2026-93","https://cert.pl/en/posts/2026/04/CVE-2026-33865/","https://github.com/mlflow/mlflow/pull/21435","https://afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors","https://github.com/advisories/GHSA-fh64-r2vc-xvhr"],"severity":{"label":"medium","score":5.4},"sources":[{"source":"osv","source_id":"PYSEC-2026-93","url":"https://osv.dev/vulnerability/PYSEC-2026-93"}],"summary":"MLflow is vulnerable to Stored Cross-Site Scripting (XSS) caused by unsafe parsing of YAML-based MLmodel artifacts in its web interface. An authenticated attacker can upload a malicious MLmodel file c"}