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
# 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()}
- Scope the Analysis — Define what cyber kill chain artifacts or data sources to examine and the investigation timeline.
- Preserve Evidence — Create forensic copies of relevant data. Maintain chain of custody documentation.
- Extract Key Indicators — Parse and extract relevant cyber kill chain data points from collected artifacts.
- Correlate Findings — Cross-reference extracted data with other sources (threat intel, logs, timelines).
- Build Timeline — Construct a chronological sequence of events related to cyber kill chain.
- 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
- Scope — Define research questions, identify data sources, set time boundaries
- Gather — Collect data from primary sources, APIs, and public records
- 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. |