{"id":"PYSEC-2026-1658","summary":"MLflow Uncontrolled Resource Consumption vulnerability","details":"In mlflow/mlflow version v2.13.2, a vulnerability exists that allows the creation or renaming of an experiment with a large number of integers in its name due to the lack of a limit on the experiment name. This can cause the MLflow UI panel to become unresponsive, leading to a potential denial of service. Additionally, there is no character limit in the `artifact_location` parameter while creating the experiment.","aliases":["BIT-mlflow-2024-6838","CVE-2024-6838","GHSA-q3gw-8236-5jw4"],"modified":"2026-07-07T17:57:13.920343130Z","published":"2026-07-07T14:34:54.017981Z","references":[{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2024-6838"},{"type":"PACKAGE","url":"https://github.com/mlflow/mlflow"},{"type":"WEB","url":"https://huntr.com/bounties/8ad52cb2-2cda-4eb0-aec9-586060ee43e0"},{"type":"PACKAGE","url":"https://pypi.org/project/mlflow"},{"type":"ADVISORY","url":"https://github.com/advisories/GHSA-q3gw-8236-5jw4"}],"affected":[{"package":{"name":"mlflow","ecosystem":"PyPI","purl":"pkg:pypi/mlflow"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"last_affected":"2.13.2"}]}],"versions":["0.0.1","0.1.0","0.2.0","0.2.1","0.3.0","0.4.0","0.4.1","0.4.2","0.5.0","0.5.1","0.5.2","0.6.0","0.7.0","0.8.0","0.8.1","0.8.2","0.9.0","0.9.0.1","0.9.1","1.0.0","1.1.0","1.1.1.dev0","1.10.0","1.11.0","1.12.0","1.12.1","1.13","1.13.1","1.14.0","1.14.1","1.15.0","1.16.0","1.17.0","1.18.0","1.19.0","1.2.0","1.20.0","1.20.1","1.20.2","1.21.0","1.22.0","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","1.3.0","1.30.0","1.30.1","1.4.0","1.5.0","1.6.0","1.7.0","1.7.1","1.7.2","1.8.0","1.9.0","1.9.1","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","2.2.0","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-2026-1658.yaml"}}],"schema_version":"1.7.5","severity":[{"type":"CVSS_V3","score":"CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L"}]}