DefectDojo
A unified DevSecOps platform for managing vulnerabilities and security posture across multiple tools and projects.
Category | DevSecOps & Pipeline Security |
---|---|
Community Stars | 3804 |
Last Commit | last week |
Last page update | 19 days ago |
Pricing Details | Open Source |
Target Audience | Security professionals, DevOps teams, and organizations looking to manage vulnerabilities. |
DefectDojo addresses the complex challenge of managing vulnerabilities and security posture across multiple tools and projects by providing a unified DevSecOps platform. At its core, DefectDojo is a Django-based application that orchestrates end-to-end security testing, vulnerability tracking, deduplication, remediation, and reporting.
Technically, DefectDojo's architecture is built around a modular design that integrates with over 190 security tools, allowing for the aggregation and correlation of findings. It uses a Product:Engagement model to enable traceability across multiple projects and test cycles. The platform supports various installation options, including Docker, Docker Compose, and AWS AMI, making it versatile for different deployment environments. The use of Celery for task management and support for multiple database engines (such as MySQL, PostgreSQL, and MariaDB) ensures scalability and flexibility in handling background tasks and data storage.
Operationally, DefectDojo requires careful configuration, particularly in setting up the database, Celery backend, and other environmental variables. The platform's performance can be optimized by tuning deduplication settings and managing the integration with source code repositories to provide direct links to vulnerability locations. However, this also introduces operational complexities, such as managing credentials securely with AES-256 encryption and ensuring proper time zone and internationalization settings.
Specific technical details include the use of REST APIs and client APIs for integration, support for various SCM types (GitHub, GitLab, BitBucket), and the ability to set custom fields for products. The platform also has limitations, such as the need for regular maintenance and updates, especially when using the open-source version, and potential performance impacts when handling large volumes of data.