{"id":"PYSEC-2026-1644","summary":"MLFlow unsafe deserialization","details":"Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.23.0 or newer, enabling a maliciously uploaded LightGBM scikit-learn model to run arbitrary code on an end user’s system when interacted with.","aliases":["BIT-mlflow-2024-37056","CVE-2024-37056","GHSA-7p8j-qv6x-f4g4"],"modified":"2026-07-07T17:56:52.206163477Z","published":"2026-07-07T11:45:44.419637Z","references":[{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2024-37056"},{"type":"PACKAGE","url":"https://github.com/mlflow/mlflow"},{"type":"WEB","url":"https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"},{"type":"PACKAGE","url":"https://pypi.org/project/mlflow"},{"type":"ADVISORY","url":"https://github.com/advisories/GHSA-7p8j-qv6x-f4g4"}],"affected":[{"package":{"name":"mlflow","ecosystem":"PyPI","purl":"pkg:pypi/mlflow"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"1.23.0"},{"last_affected":"2.14.1"}]}],"versions":["1.23.0","1.23.1","1.24.0","1.25.0","1.25.1","1.26.0","1.26.1","1.27.0","1.28.0","1.29.0","1.30.0","1.30.1","2.0.0","2.0.0rc0","2.0.1","2.1.0","2.1.1","2.10.0","2.10.1","2.10.2","2.11.0","2.11.1","2.11.2","2.11.3","2.11.4","2.12.0","2.12.1","2.12.2","2.13.0","2.13.1","2.13.2","2.14.0","2.14.0rc0","2.14.1","2.2.0","2.2.1","2.2.2","2.3.0","2.3.1","2.3.2","2.4.0","2.4.1","2.4.2","2.5.0","2.6.0","2.7.0","2.7.1","2.8.0","2.8.1","2.9.0","2.9.1","2.9.2"],"database_specific":{"source":"https://github.com/pypa/advisory-database/blob/main/vulns/mlflow/PYSEC-2026-1644.yaml"}}],"schema_version":"1.7.5","severity":[{"type":"CVSS_V3","score":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H"}]}