attack-tree-construction
Systematic visualization and analysis of attack paths with difficulty, cost, and detection metrics.
- Provides Python data models for building attack trees with OR/AND logic, leaf attacks, and attributes (difficulty, cost, detection risk, time required)
- Includes fluent builder API for constructing trees programmatically and methods to find easiest, cheapest, and stealthiest attack paths
- Exports to Mermaid and PlantUML diagram formats for stakeholder communication and threat visualization
- Analyzes all possible attack paths, identifies critical nodes, and prioritizes mitigations by coverage impact
Attack Tree Construction
Systematic attack path visualization and analysis.
When to Use This Skill
- Visualizing complex attack scenarios
- Identifying defense gaps and priorities
- Communicating risks to stakeholders
- Planning defensive investments
- Penetration test planning
- Security architecture review
Core Concepts
1. Attack Tree Structure
[Root Goal]
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