{"id":"PYSEC-2026-2661","summary":"MLflow has a command injection in mlflow/sagemaker/__init__.py","details":"A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the `mlflow/sagemaker/__init__.py` file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization, which are then executed using `os.system()`. This allows attackers to execute arbitrary commands by supplying malicious input through the `--container` parameter of the CLI. The issue affects environments where MLflow is used, including development setups, CI/CD pipelines, and cloud deployments.","aliases":["BIT-mlflow-2025-14287","CVE-2025-14287","GHSA-xch3-2f9x-wh9f"],"modified":"2026-07-13T16:42:49.591762139Z","published":"2026-07-13T14:36:42.913255Z","references":[{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2025-14287"},{"type":"WEB","url":"https://github.com/mlflow/mlflow/pull/19277"},{"type":"WEB","url":"https://github.com/mlflow/mlflow/commit/8b8792a7034fb33a14b0b31cabcaa9b912d3485f"},{"type":"PACKAGE","url":"https://github.com/mlflow/mlflow"},{"type":"WEB","url":"https://github.com/mlflow/mlflow/releases/tag/v3.8.0rc0"},{"type":"WEB","url":"https://huntr.com/bounties/229cd526-41aa-4819-b6f0-e2d0371c89e3"},{"type":"PACKAGE","url":"https://pypi.org/project/mlflow"},{"type":"ADVISORY","url":"https://github.com/advisories/GHSA-xch3-2f9x-wh9f"}],"affected":[{"package":{"name":"mlflow","ecosystem":"PyPI","purl":"pkg:pypi/mlflow"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"3.8.0rc0"}]}],"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","2.14.0","2.14.0rc0","2.14.1","2.14.2","2.14.2.dev0","2.14.3","2.15.0","2.15.0rc0","2.15.1","2.16.0","2.16.1","2.16.2","2.17.0","2.17.0rc0","2.17.1","2.17.2","2.18.0","2.18.0rc0","2.19.0","2.19.0rc0","2.2.0","2.2.1","2.2.2","2.20.0","2.20.0rc0","2.20.1","2.20.2","2.20.3","2.20.4","2.21.0","2.21.0rc0","2.21.1","2.21.2","2.21.3","2.22.0","2.22.0rc0","2.22.1","2.22.2","2.22.3","2.22.4","2.22.5","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","3.0.0","3.0.0rc0","3.0.0rc1","3.0.0rc2","3.0.0rc3","3.0.1","3.1.0","3.1.0rc0","3.1.1","3.1.2","3.1.3","3.1.4","3.2.0","3.2.0rc0","3.3.0","3.3.0rc0","3.3.1","3.3.2","3.4.0","3.4.0rc0","3.5.0","3.5.0rc0","3.5.1","3.6.0","3.6.0rc0","3.7.0","3.7.0rc0"],"database_specific":{"source":"https://github.com/pypa/advisory-database/blob/main/vulns/mlflow/PYSEC-2026-2661.yaml"}}],"schema_version":"1.7.5","severity":[{"type":"CVSS_V3","score":"CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H"}]}