Atlas / Skills / mukul975 / Analyzing Cyber Kill Chain

Analyzing Cyber Kill ChainCAUTION

skills/mukul975/analyzing-cyber-kill-chain

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Verdict
CAUTION
Grade
B
Trust score
89 /100
Version
1.0.0
Hosts
—
License
Apache-2.0
Stars
33,870
01

Overview

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Read from source at commit 6c59587be632OBSERVED · 2026-10-07
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
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. Activates for requests
  involving kill chain analysis, intrusion kill chain, attack phase mapping, or Lockheed
  Martin kill chain framework.

  '
domain: cybersecurity
subdomain: threat-intelligence
tags:
- kill-chain
- Lockheed-Martin
- MITRE-ATT&CK
- intrusion-analysis
- defense-in-depth
- NIST-CSF
version: 1.0.0
author: team-cybersecurity
license: Apache-2.0
nist_csf:
- ID.RA-01
- ID.RA-05
- DE.CM-01
- DE.AE-02
mitre_attack:
- T1566.001
- T1190
- T1547.001
- T1071.001
- T1486
---
# Analyzing Cyber Kill Chain

## When to Use

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.

## 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

### Step 1: Map Observed Actions to Kill Chain Phases

The Lockheed Martin Cyber Kill Chain consists of seven phases. Map all observed adversary actions:

**Phase 1 - Reconnaissance**: Adversary gathers target information before attack.
- Indicators: DNS queries from adversary IP, LinkedIn scraping, job posting analysis, Shodan scans of organization infrastructure

**Phase 2 - Weaponization**: Adversary creates attack tool (malware + exploit).
- Indicators: Malware compilation timestamps, exploit document metadata, builder artifacts in malware samples

**Phase 3 - Delivery**: Adversary transmits weapon to target.
- Indicators: Phishing emails, malicious attachments, drive-by downloads, USB drops, supply chain compromise

**Phase 4 - Exploitation**: Adversary exploits vulnerability to execute code.
- Indicators: CVE exploitation events in application/OS logs, memory corruption artifacts, shellcode execution

**Phase 5 - Installation**: Adversary establishes persistence on target.
- Indicators: New scheduled tasks, registry run keys, service installation, web shells, bootkits

**Phase 6 - Command & Control (C2)**: Adversary communicates with compromised system.
- Indicators: Beaconing traffic (regular intervals), DNS tunneling, HTTPS to uncommon domains, C2 framework signatures (Cobalt Strike, Sliver)

**Phase 7 - Actions on Objectives**: Adversary achieves goals.
- Indicators: Data staging/exfiltration, lateral movement, ransomware execution, destructive activity

### Step 2: Identify Phase Completion and Detection Points

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.

### Step 3: Map to MITRE ATT&CK for Technique Detail

Each kill chain phase maps to multiple ATT&CK tactics:
- Delivery → Initial Access (TA0001)
- Exploitation → Execution (TA0002)
- Installation → Persistence (TA0003), Privilege Escalation (TA0004)
- C2 → Command and Control (TA0011)
- Actions on Objectives → Exfiltration (TA0010), Impact (TA0040)

Within each phase, enumerate specific ATT&CK techniques observed and map to existing detections.

### Step 4: Identify Courses of Action per Phase

For each phase, document applicable defensive courses of action (COAs):
- **Detect COA**: What detection would alert on adversary activity in this phase?
- **Deny COA**: What control would prevent the adversary from completing this phase?
- **Disrupt COA**: What control would interrupt the adversary mid-phase?
- **Degrade COA**: What control would reduce the adversary's effectiveness in this phase?
- **Deceive COA**: What deception (honeypots, canary tokens) would expose activity in this phase?
- **Destroy COA**: What active defense capability would neutralize adversary infrastructure?

### Step 5: Produce Kill Chain Analysis Report

Structure findings as:
1. Attack narrative (timeline of phases)
2. Phase-by-phase analysis with evidence
3. Detection point analysis (what worked, what failed)
4. Defensive recommendation per phase prioritized by cost/effectiveness
5. Control improvement roadmap

## Key Concepts

| 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 detec
03

Trust audit

CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeWARN
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
declared (5 observation(s))
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (5)

MEDIUMNetwork egress · net.beacon_words · CWE-200, CWE-319
scripts/agent.py:112
"detect": "Network beacon analysis, JA3 fingerprinting, DNS monitoring",
MEDIUMNetwork egress · net.beacon_words · CWE-200, CWE-319
scripts/agent.py:123
"Data staging and exfiltration",
MEDIUMNetwork egress · net.beacon_words · CWE-200, CWE-319
scripts/agent.py:129
"mitre_tactics": ["TA0010 - Exfiltration", "TA0040 - Impact"],
MEDIUMNetwork egress · net.beacon_words · CWE-200, CWE-319
scripts/agent.py:151
6: ["beacon", "c2", "c&c", "command and control", "callback", "dns tunnel"],
MEDIUMNetwork egress · net.beacon_words · CWE-200, CWE-319
scripts/agent.py:152
7: ["exfiltrat", "lateral", "ransomware", "encrypt", "data stag", "credential dump",

Gates applied: no_behavioural_pass.

Audited 2026-10-07 · audit v0.4.1 · source sha 6c59587be632full audit observations/trust-audit/skill/mukul975__analyzing-cyber-kill-chain.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-076c59587be632CAUTIONB89first audit
05

Questions

What does the Analyzing Cyber Kill Chain skill do?

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains ·

Is Analyzing Cyber Kill Chain safe to install?

With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.

What can Analyzing Cyber Kill Chain access on my machine?

The audit observed that it reaches the network. Each of those is consistent with what it says it does. Secrets in the source: none found.

How current is this page?

The grade is for one exact copy of the source (6c59587be632), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.

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