Project-MONAI — Vulnerabilities & Security Advisories 4

Project-MONAI is an open-source framework for medical imaging deep learning, enabling researchers to develop and deploy AI models for healthcare applications. Historically, it has faced vulnerabilities including remote code execution, cross-site scripting, and privilege escalation, primarily due to insecure input handling and improper access controls. The framework's complex architecture and integration with multiple third-party libraries contribute to its attack surface. While no major public security incidents have been documented, the presence of four CVEs indicates ongoing security challenges that require careful implementation and regular patching in production environments handling sensitive medical data.