{"id":"CVE-2024-37056","aliases":["GHSA-7p8j-qv6x-f4g4","PYSEC-2026-1644"],"url":"https://o3.security/vulnerability/CVE-2024-37056","summary":null,"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.","published":"2024-06-08T07:26:02.015Z","modified":"2026-09-08T08:48:13.763221795Z","cvss":null,"epss":null,"cisaKev":null,"exploitsKnown":0,"affectedPackages":[{"ecosystem":"Bitnami","name":"mlflow","fixedVersion":"2.14.2"}],"fix":null,"references":[{"type":"ADVISORY","url":"https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"},{"type":"WEB","url":"https://nvd.nist.gov/vuln/detail/CVE-2024-37056"}],"provenance":{"sources":["OSV.dev","FIRST.org (EPSS)"],"lastVerified":"2026-09-08T08:48:13.763221795Z"}}