Use when analyzes intrusion activity against the Lockheed Martin Cyber
Scanned 9/8/2026
Install to Claude Code
npx -y skills add oyi77/1ai-skills --skill analyzing-cyber-kill-chain --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: analyzing-cyber-kill-chain
description: Use when 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
category: cybersecurity
---
# 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
```python
# Example: IOC detection
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) for k, v in IOC_PATTERNS.items()}
```
1. **Scope the Analysis** — Define what cyber kill chain artifacts or data sources to examine and the investigation timeline.
2. **Preserve Evidence** — Create forensic copies of relevant data. Maintain chain of custody documentation.
3. **Extract Key Indicators** — Parse and extract relevant cyber kill chain data points from collected artifacts.
4. **Correlate Findings** — Cross-reference extracted data with other sources (threat intel, logs, timelines).
5. **Build Timeline** — Construct a chronological sequence of events related to cyber kill chain.
6. **Document Analysis** — Write findings report with evidence, conclusions, and recommendations.
## Tools
- **Forensic Toolkit** — Evidence collection and analysis
- **Timeline Tools** — Chronological event reconstruction
- **Log Analysis Platform** — Centralized log parsing and search
## Process
1. **Scope** — Define research questions, identify data sources, set time boundaries
1. **Gather** — Collect data from primary sources, APIs, and public records
1. **Synthesize** — Analyze findings, identify patterns, produce actionable report
## Verification
- [ ] All cyber kill chain procedures executed completely and documented
- [ ] Findings validated against multiple data sources
- [ ] False positives identified and filtered
- [ ] Results documented with evidence and timestamps
- [ ] Recommendations provided with risk-based prioritization
## Anti-Rationalization Table
| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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