A curated list of threat modeling resources including books, courses, videos, tools, tutorials, and examples for learning and practicing threat modeling.
Awesome Threat Modeling is a curated GitHub repository that aggregates learning resources and tools for threat modeling and security review. It provides a structured collection of books, courses, videos, tutorials, and practical examples to help individuals and teams understand and implement threat modeling in their projects. The project addresses the challenge of finding reliable, up-to-date educational materials in the cybersecurity domain.
Security professionals, software developers, DevOps/DevSecOps engineers, and students who want to learn or improve their threat modeling skills and integrate security into the software development lifecycle.
It saves time by centralizing high-quality, vetted resources in one place, eliminating the need to scour the internet. As an open-source project, it benefits from community contributions, ensuring the list stays current with evolving threats, tools, and methodologies.
A curated list of threat modeling resources (Books, courses - free and paid, videos, tools, tutorials and workshops to practice on ) for learning Threat modeling and initial phases of security review.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Centralizes books, courses, videos, tutorials, and tools from trusted sources, as shown in the structured Contents section, eliminating scattered research.
Encourages pull requests and issues to keep the list updated, ensuring it evolves with new contributions and trends.
Organizes content into clear categories like Fundamentals, Books, and Tools, making it easy to find specific learning materials.
Includes threat model examples for systems like Kubernetes, Docker, and OAuth, providing actionable references for common technologies.
It's a static list; users must manually explore and apply resources without built-in guidance, quizzes, or interactive elements.
Lacks a vetting process; the quality of listed resources depends on community contributions and may include outdated or unverified materials.
Only includes what has been curated; may miss niche or emerging threats until someone contributes, requiring users to supplement with external research.