Visualizes and analyzes security threat paths through systematic attack tree modeling and risk assessment.
This skill enables security researchers and developers to systematically map out potential attack vectors using a structured hierarchical model. By defining root goals and breaking them down into AND/OR logic nodes with specific attributes like cost, difficulty, and detection risk, it allows for the identification of the easiest or cheapest paths an attacker might take. It is an essential tool for performing architectural reviews, planning penetration tests, and quantifying the impact of defensive investments by pinpointing unmitigated leaf nodes in complex system designs.
Key Features
01Quantitative risk modeling using cost, time, and expertise attributes
02Automated path analysis to identify the easiest or stealthiest attack routes
03Hierarchical AND/OR logic node construction for complex threat scenarios
040 GitHub stars
05Mitigation gap analysis to highlight undefended attack vectors
06Python-based data model and JSON export for reporting and integration
Use Cases
01Prioritizing defensive engineering tasks based on quantified risk paths
02Conducting security architecture reviews for new system designs
03Planning red team operations and scoping penetration tests
