AI Security Skill: Optimize Attack Paths with MITRE ATT&CK

AI Security Skill: Optimize Attack Paths with MITRE ATT&CK

Unleash the power of the AI Security Skill to transform reconnaissance data into robust attack strategies mapped to the MITRE ATT&CK framework. Perfect for authorized penetration testing and red team engagements, this advanced skill generates strategic attack trees and actionable kill chains, enabling you to prioritize attack paths by feasibility and impact.

What this skill does

• Step 1: Input Collection
  • Accept inputs such as Recon JSON data from recon-dominator, raw domain information, or a user-provided manual asset list of hostnames, IPs, services, and technologies.
  • If a raw domain is provided, perform a quick reconnaissance summary using recon-dominator scripts before proceeding.
• Step 2: Asset Classification
  • Classify discovered assets using a Python script to assess their exposure levels as EXTERNAL, SEMI-EXTERNAL, or INTERNAL-EXPOSED.
• Map security findings to MITRE ATT&CK Tactics, Techniques, and Procedures (TTPs) for an enhanced understanding of potential attack paths and trust relationships.

Use cases

• Developers and security teams looking to enhance their threat modeling capabilities by converting reconnaissance data into strategic attack paths.
• Red teams seeking to identify and prioritize potential attack vectors during security assessments.
• IT professionals aiming to conduct thorough attack surface analysis and prioritize targets based on their impact and feasibility.

Technical details

• This skill is integrated with the recon-dominator for data input processing and asset classification.
• Utilizes Python scripts to automate asset discovery and classification based on exposure levels.
• Strictly designed for use in authorized pentesting environments, ensuring compliance with security protocols.

Empower your security strategies with the AI Security Skill and leverage MITRE ATT&CK to stay ahead in the fast-evolving landscape of cybersecurity threats.

Source & Licence

This package is built on open-source work published by Orizon-eu (Orizon-eu/claude-code-pentest) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

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