{"action":"Upgrade mlflow to 2.10.1 or later.","affected":[{"fixed":"2.10.1","introduced":"0"}],"component":"mlflow","cve_ids":["CVE-2024-4263"],"ecosystem":"PyPI","epss":0.00332,"exploited":false,"fixed_versions":["2.10.1"],"ghsa_id":"GHSA-p4jx-q62p-x5jr","id":"tcs_01M5KGN9DRZA7CWDYVTQE4XPHZ","modified_at":"2026-06-10T17:01:27.427421870Z","published_at":"2024-05-16T09:15:00Z","references":["https://osv.dev/vulnerability/PYSEC-2024-51","https://huntr.com/bounties/bfa116d3-2af8-4c4a-ac34-ccde7491ae11","https://github.com/mlflow/mlflow/commit/b43e0e3de5b500554e13dc032ba2083b2d6c94b8","https://github.com/advisories/GHSA-p4jx-q62p-x5jr"],"severity":{"label":"unknown"},"sources":[{"source":"osv","source_id":"PYSEC-2024-51","url":"https://osv.dev/vulnerability/PYSEC-2024-51"}],"summary":"A broken access control vulnerability exists in mlflow/mlflow versions before 2.10.1, where low privilege users with only EDIT permissions on an experiment can delete any artifacts. This issue arises"}