{"id":"CVE-2024-37053","aliases":["GHSA-43c4-9qgj-x742","BIT-mlflow-2024-37053","PYSEC-2026-1636"],"title":"MLFlow unsafe deserialization","summary":"MLFlow unsafe deserialization","severity":"high","cvss":8.8,"cvssVector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","vendor":"mlflow","product":"mlflow","ecosystem":"pip","affected":["mlflow >= 1.1.0, <= 2.14.1"],"published":"2024-06-04","updated":"2026-07-07","source":"OSV","sourceUrl":"https://osv.dev/vulnerability/GHSA-43c4-9qgj-x742","references":[{"url":"https://nvd.nist.gov/vuln/detail/CVE-2024-37053"},{"url":"https://github.com/mlflow/mlflow"},{"url":"https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"}],"tags":["osv","pip"],"epss":0.00618,"epssPercentile":0.48267,"ingestedAt":"2026-07-08T18:25:45.235Z","slug":"CVE-2024-37053","body":"## Overview\n\nDeserialization 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.\n\n## Affected packages\n\n- `mlflow >= 1.1.0, <= 2.14.1`\n\n## Remediation\n\nRefer to the advisory for the patched release.","depth":"twilight","depthScore":49,"depthScoreParts":{"impact":48.4,"likelihood":0.1,"exploitation":0,"ransomware":0},"changes":[]}