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{"bugzilla": {"description": "mlflow: MLflow: Arbitrary command execution via unsanitized container image names", "id": "2447690", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2447690"}, "csaw": false, "cvss3": {"cvss3_base_score": "7.8", "cvss3_scoring_vector": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", "status": "draft"}, "cwe": "CWE-78", "details": ["A flaw was found in MLflow, a platform for managing the machine learning lifecycle. This vulnerability, known as command injection, allows an attacker to execute unauthorized commands on the system. By providing specially crafted input through the `--container` parameter, an attacker can bypass security checks and inject malicious code. This can lead to arbitrary command execution, potentially compromising the integrity and confidentiality of the affected system."], "name": "CVE-2025-14287", "package_state": [{"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-mlflow-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-training-cuda128-torch29-py312-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2026-03-15T09:27:36Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2025-14287\nhttps://nvd.nist.gov/vuln/detail/CVE-2025-14287\nhttps://huntr.com/bounties/229cd526-41aa-4819-b6f0-e2d0371c89e3"], "threat_severity": "Important"}

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