Can I use this skill to find the most likely attack path?

Yes, the skill includes logic to calculate aggregate difficulty and cost, allowing you to programmatically identify the easiest, cheapest, or stealthiest paths.

What is an attack tree in security analysis?

An attack tree is a hierarchical diagram that represents the various paths an attacker might take to reach a specific objective, helping security teams visualize and mitigate risks.

Does this skill help with mitigation planning?

Absolutely. You can assign specific mitigations to each attack node and use the provided tools to generate reports on which attack paths currently have no defenses.

How does the AND/OR logic work in this skill?

'OR' nodes represent alternative methods to achieve a sub-goal, while 'AND' nodes represent a series of steps that must all be completed to advance the attack.

Security Attack Tree Builder

Name: Security Attack Tree Builder
Author: as4584

byas4584

Security & Testing

Generates systematic attack path visualizations and threat models to identify defense gaps and communicate security risks.

About

The Security Attack Tree Builder enables developers and security engineers to construct comprehensive attack trees that map potential exploit paths from a root goal down to individual leaf actions. By utilizing structured AND/OR logic and detailed attributes such as cost, difficulty, and detection risk, this skill facilitates data-driven security analysis. It is an essential tool for security architecture reviews, penetration test planning, and visualizing complex threat scenarios for stakeholders, helping teams prioritize defensive investments effectively.

Key Features

Automated pathfinding to identify the easiest or cheapest attack vectors
Hierarchical AND/OR logic for complex threat modeling
Data-driven attributes for attack cost, difficulty, and detection risk
0 GitHub stars
Python-based data model for programmatic tree construction and analysis
Mitigation tracking to identify and address unmitigated security gaps

Use Cases

Prioritizing defensive security investments by identifying high-risk paths
Communicating architectural security risks to stakeholders via clear visualizations
Mapping penetration testing scenarios and defining assessment scope

About

Key Features

Automated pathfinding to identify the easiest or cheapest attack vectors
Hierarchical AND/OR logic for complex threat modeling
Data-driven attributes for attack cost, difficulty, and detection risk
0 GitHub stars
Python-based data model for programmatic tree construction and analysis
Mitigation tracking to identify and address unmitigated security gaps

Use Cases

Prioritizing defensive security investments by identifying high-risk paths
Communicating architectural security risks to stakeholders via clear visualizations
Mapping penetration testing scenarios and defining assessment scope