| name | analyzing-cyber-kill-chain |
| description | 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. |
| domain | cybersecurity |
| tags | ["kill-chain","Lockheed-Martin","MITRE-ATT&CK","intrusion-analysis","defense-in-depth","NIST-CSF"] |
| subdomain | threat-intelligence |
| version | 1.0.0 |
| author | oyi77 |
| license | Apache-2.0 |
| nist_csf | ["ID.RA-01","ID.RA-05","DE.CM-01","DE.AE-02"] |
Analyzing Cyber Kill Chain
Overview
Cybersecurity skill for analyzing cyber kill chain. Follows industry best practices and security standards.
When to Use
Trigger phrases:
- "analyzing cyber kill chain"
- "Conducting post-incident analysis to determine how far an adversary progressed t"
- "Designing layered defensive controls with the goal of interrupting attacks at th"
- "Producing threat intelligence reports that communicate attack progression to non"
Use this skill when:
- Conducting post-incident analysis to determine how far an adversary progressed through an attack sequence
- Designing layered defensive controls with the goal of interrupting attacks at the earliest possible phase
- Producing threat intelligence reports that communicate attack progression to non-technical stakeholders
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.
When NOT to Use
- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope
Prerequisites
- Complete incident timeline with forensic artifacts mapped to specific adversary actions
- MITRE ATT&CK Enterprise matrix for technique-level mapping within each kill chain phase
- Access to threat intelligence on the suspected adversary group's typical kill chain progression
- Post-incident report or IR timeline from responding team
Workflow
import re
IOC_PATTERNS = {
"ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
"domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
"hash_md5": r"\b[a-f0-9]{32}\b",
"hash_sha256": r"\b[a-f0-9]{64}\b",
}
def extract_iocs(text: str) -> dict:
return {k: re.findall(v, text) k, v IOC_PATTERNS.items()}