oyi77/1ai-skills/analyzing-cyber-kill-chain

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Use when analyzes intrusion activity against the Lockheed Martin Cyber

Install

npx vskill@latest install oyi77/1ai-skills/analyzing-cyber-kill-chain

SKILL.md

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
  2. Gather — Collect data from primary sources, APIs, and public records
  3. 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

RationalizationReality
"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.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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