{"id":"CVE-2024-37052","details":"Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.","aliases":["BIT-mlflow-2024-37052","GHSA-76cg-cfhx-373f"],"modified":"2026-03-14T12:34:17.987631Z","published":"2024-06-04T12:15:10.413Z","references":[{"type":"EVIDENCE","url":"https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"}],"affected":[{"database_specific":{"unresolved_ranges":[{"events":[{"introduced":"1.1.0"}]}],"source":"https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2024-37052.json"}}],"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"}]}