Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain framework to identify which phases an adversary has completed, where defenses succeeded or failed, and what controls would have interrupted the attack at earlier phases. Use when conducting post-incident analysis, building prevention-focused security controls, or mapping detection gaps to kill chain phases. Activates for requests involving kill chain analysis, intrusion kill chain, attack phase mapping, or Lockheed Martin kill chain framework.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Use this skill when:
Do not use this skill as a standalone framework — combine with MITRE ATT&CK for technique-level granularity beyond what the 7-phase kill chain provides.
The Lockheed Martin Cyber Kill Chain consists of seven phases. Map all observed adversary actions:
Phase 1 - Reconnaissance: Adversary gathers target information before attack.
Phase 2 - Weaponization: Adversary creates attack tool (malware + exploit).
Phase 3 - Delivery: Adversary transmits weapon to target.
Phase 4 - Exploitation: Adversary exploits vulnerability to execute code.
Phase 5 - Installation: Adversary establishes persistence on target.
Phase 6 - Command & Control (C2): Adversary communicates with compromised system.
Phase 7 - Actions on Objectives: Adversary achieves goals.
Create a phase matrix for the incident:
Phase 1: Recon → Completed (undetected)
Phase 2: Weaponize → Completed (undetected — pre-attack)
Phase 3: Delivery → Completed; phishing email bypassed SEG
Phase 4: Exploit → Completed; CVE-2023-23397 exploited
Phase 5: Install → DETECTED: EDR flagged scheduled task creation (attack stalled here)
Phase 6: C2 → Not achieved (installation blocked)
Phase 7: Objectives → Not achieved
For each phase completed without detection, document the defensive control gap.
Each kill chain phase maps to multiple ATT&CK tactics:
Within each phase, enumerate specific ATT&CK techniques observed and map to existing detections.
For each phase, document applicable defensive courses of action (COAs):
Structure findings as:
| Term | Definition |
|---|---|
| Kill Chain | Sequential model of adversary intrusion phases; breaking any link theoretically stops the attack |
| Courses of Action (COA) | Defensive responses mapped to each kill chain phase: detect, deny, disrupt, degrade, deceive, destroy |
| Beaconing | Regular, periodic C2 check-in pattern from compromised host to adversary server; detectable by frequency analysis |
| Phase Completion | Adversary successfully finishes a kill chain phase and progresses to the next; defense-in-depth aims to prevent this |
| Intelligence Gain/Loss | Analysis of whether detecting at Phase 5 (vs. Phase 3) reduced intelligence about adversary capabilities or intent |
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概要と使いどころ
Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
日本語の概要は準備中です。原文の説明を表示しています。
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
日本語の概要は準備中です。原文の説明を表示しています。
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
日本語の概要は準備中です。原文の説明を表示しています。
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
日本語の概要は準備中です。原文の説明を表示しています。
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
日本語の概要は準備中です。原文の説明を表示しています。