Can I export the attack trees generated by this skill?

Yes, the skill includes Python templates to export attack tree models into JSON format for documentation or integration with other security analysis tools.

What is an attack tree in security modeling?

An attack tree is a conceptual diagram showing all possible ways an attacker could achieve a specific goal, helping security teams visualize and mitigate vulnerabilities systematically.

Do I need to be a security expert to use this skill?

While useful for security professionals, it is designed to help developers and architects integrate threat modeling into their standard development workflow by providing clear patterns and structures.

How does this skill help with quantitative risk assessment?

The skill assigns attributes like cost, required expertise, and detection risk to each node, allowing you to mathematically calculate the easiest or most likely paths an attacker might take.

Attack Tree Construction

Name: Attack Tree Construction
Author: GaitanS

byGaitanS

Security & Testing

Builds systematic attack trees to visualize potential threat paths and identify critical security vulnerabilities.

About

Attack Tree Construction is a specialized security skill designed to help developers and security architects map out complex cyber-attack scenarios through a structured, hierarchical model. By breaking down high-level security goals into specific sub-goals and atomic attack steps, this skill enables precise identification of defense gaps, prioritization of security investments, and clear communication of risk postures to stakeholders. It provides automated templates for calculating path difficulty, resource costs, and detection risks, making it an essential tool for penetration test planning and comprehensive security architecture reviews.

Key Features

Automated calculation of path difficulty, resource cost, and detection probability
Python-based data models for programmatic attack tree generation and JSON export
0 GitHub stars
Hierarchical attack path visualization using AND/OR logic nodes
Structured templates for identifying unmitigated vulnerabilities and high-risk exploits
Integration for mapping CVE references and mitigation strategies to specific attack nodes

Use Cases

Planning penetration tests by identifying paths of least resistance
Communicating cyber risk scenarios to stakeholders using standardized visual models
Conducting security architecture reviews for complex cloud applications

About

Key Features

Automated calculation of path difficulty, resource cost, and detection probability
Python-based data models for programmatic attack tree generation and JSON export
0 GitHub stars
Hierarchical attack path visualization using AND/OR logic nodes
Structured templates for identifying unmitigated vulnerabilities and high-risk exploits
Integration for mapping CVE references and mitigation strategies to specific attack nodes

Use Cases

Planning penetration tests by identifying paths of least resistance
Communicating cyber risk scenarios to stakeholders using standardized visual models
Conducting security architecture reviews for complex cloud applications