{"id":"CVE-2025-15379","aliases":["BIT-mlflow-2025-15379","GHSA-r23q-823p-vmf7","PYSEC-2026-423"],"url":"https://o3.security/vulnerability/CVE-2025-15379","summary":"Command Injection in mlflow/mlflow","details":"A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.","published":"2026-03-30T07:16:57.610Z","modified":"2026-08-07T11:50:06.593195603Z","cvss":{"score":9,"severity":"CRITICAL","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H"},"epss":null,"cisaKev":null,"exploitsKnown":0,"affectedPackages":[{"ecosystem":"PyPI","name":"mlflow","fixedVersion":"3.8.1"}],"fix":{"url":"https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e","label":"mlflow/mlflow@361b6f6"},"references":[{"type":"WEB","url":"https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75"},{"type":"WEB","url":"https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-15379.json"},{"type":"ADVISORY","url":"https://access.redhat.com/security/cve/CVE-2025-15379"},{"type":"ADVISORY","url":"https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/15xxx/CVE-2025-15379.json"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2025-15379"},{"type":"REPORT","url":"https://bugzilla.redhat.com/show_bug.cgi?id=2452949"},{"type":"FIX","url":"https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e"}],"provenance":{"sources":["OSV.dev","FIRST.org (EPSS)"],"lastVerified":"2026-08-07T11:50:06.593195603Z"}}