{"id":"CVE-2024-37057","aliases":["BIT-mlflow-2024-37057","EUVD-2024-2087","GHSA-j8mg-pqc5-x9gj","PYSEC-2026-1654"],"status":"published","title":"MLFlow unsafe deserialization","description":"Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.","severity":{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"cna","from":"cve"},"epss":{"day":"2026-11-11","score":0.00623,"percentile":0.50359,"model":"v2026.06.15"},"facts":{"in_kev":false,"known_exploited":false,"public_exploit":false,"fix_available":false},"cwes":["CWE-502"],"published":"2024-06-04T12:01:28Z","modified":"2026-09-08T08:48:13Z","affected":[{"source":"ghsa","ecosystem":"PyPI","package":"mlflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.0.0rc0"},{"last_affected":"2.14.1"}]}]},{"source":"osv","ecosystem":"Bitnami","package":"mlflow","ranges":[{"type":"SEMVER","events":[{"introduced":"2.0.0"},{"last_affected":"2.14.1"}]}]},{"source":"osv","ecosystem":"PyPI","package":"mlflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.0.0rc0"},{"last_affected":"2.14.1"}]}],"versions":["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"]},{"source":"osv","ecosystem":"PyPI","package":"mlflow","ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.0.0rc0"},{"last_affected":"2.14.1"}]}],"versions":["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"]}],"products":[{"vendor":"lfprojects","product":"mlflow"},{"vendor":"mlflow","product":"mlflow"}],"references":[{"url":"https://hiddenlayer.com/sai-security-advisory/mlflow-june2024","tags":["x_transferred","Exploit","Third Party Advisory","advisory","web"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2024-37057","tags":["web","advisory"]},{"url":"https://github.com/advisories/GHSA-j8mg-pqc5-x9gj","tags":["advisory"]},{"url":"https://github.com/mlflow/mlflow","tags":["package"]},{"url":"https://pypi.org/project/mlflow","tags":["package"]}],"sources":{"cve":[{"id":"CVE-2024-37057","description":"Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.","status":"published","published":"2024-06-04T12:01:28.229Z","modified":"2024-08-02T03:43:51.015Z","cvss":[{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"cna"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T14:34:00.585327Z"}],"euvd":[{"id":"EUVD-2024-2087","description":"Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.","status":"published","published":"2024-06-04T12:01:28Z","modified":"2024-08-02T03:43:51Z","cvss":[{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"}],"updated_at":"2026-11-03T03:50:19.918696Z"}],"ghsa":[{"id":"GHSA-j8mg-pqc5-x9gj","title":"MLFlow unsafe deserialization","description":"Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.","status":"published","published":"2024-06-04T12:31:05Z","modified":"2024-06-21T14:37:20Z","cvss":[{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T14:37:54.624184Z"}],"nvd":[{"id":"CVE-2024-37057","description":"Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.","status":"published","published":"2024-06-04T12:15:11.8Z","modified":"2026-06-17T07:37:41.61Z","cvss":[{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"secondary"},{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high","assessor":"primary"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T14:10:03.465199Z"}],"osv":[{"id":"GHSA-j8mg-pqc5-x9gj","title":"MLFlow unsafe deserialization","description":"Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.","status":"published","published":"2024-06-04T12:31:05Z","modified":"2026-07-07T17:57:01.635074962Z","cvss":[{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"}],"cwes":["CWE-502"],"updated_at":"2026-11-02T15:46:50.336262Z"},{"id":"PYSEC-2026-1654","title":"MLFlow unsafe deserialization","description":"Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.","status":"published","published":"2026-07-07T11:45:45.008758Z","modified":"2026-07-07T17:57:01.635074962Z","cvss":[{"version":"3.1","score":8.8,"vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H","level":"high"}],"updated_at":"2026-11-02T15:52:55.06457Z"},{"id":"BIT-mlflow-2024-37057","description":"Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0 or newer, enabling a maliciously uploaded Tensorflow model to run arbitrary code on an end user’s system when interacted with.","status":"published","published":"2024-06-10T11:49:36.085Z","modified":"2026-09-08T08:48:13.519763021Z","updated_at":"2026-11-02T15:28:33.072289Z"}]}}