What it does. 'Map advanced persistent threat (APT) group TTPs to the MITRE ATT&CK framework using the attackcti Python library to query STIX/TAXII data for group-technique associations, then generate ATT&CK Navigator layer files to visualize and compare defensive coverage against adversary profiles. Use when profiling an APT group''s techniques, building Navigator coverage heatmaps, or assessing technique coverage gaps against a specific threat actor. Part of mukul975/Anthropic-Cybersecurity-Skills (817 security skills) (mukul975/Anthropic-Cybersecurity-Skills).

Install

• npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-threat-actor-ttps-with-mitre-navigator, or copy the skill folder into ~/.claude/skills/analyzing-threat-actor-ttps-with-mitre-navigator/.
• Raw file: curl -sL https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/HEAD/skills/analyzing-threat-actor-ttps-with-mitre-navigator/SKILL.md

SKILL.md (verbatim)

name: analyzing-threat-actor-ttps-with-mitre-navigator
description: 'Map advanced persistent threat (APT) group TTPs to the MITRE ATT&CK framework using the attackcti Python library to query STIX/TAXII data for group-technique associations, then generate ATT&CK Navigator layer files to visualize and compare defensive coverage against adversary profiles. Use when profiling an APT group''s techniques, building Navigator coverage heatmaps, or assessing technique coverage gaps against a specific threat actor.

  '
domain: cybersecurity
subdomain: threat-intelligence
tags:
- mitre-attack
- navigator
- threat-intelligence
- apt
- ttp-mapping
- stix
- attackcti
version: '1.0'
author: mahipal
license: Apache-2.0
nist_ai_rmf:
- MEASURE-2.7
- MAP-5.1
- MANAGE-2.4
atlas_techniques:
- AML.T0070
- AML.T0066
- AML.T0082
d3fend_techniques:
- File Metadata Consistency Validation
- Application Protocol Command Analysis
- Identifier Analysis
- Content Format Conversion
- Message Analysis
nist_csf:
- ID.RA-01
- ID.RA-05
- DE.CM-01
- DE.AE-02
mitre_attack:
- T1566.001
- T1059.001
- T1071.001
- T1547.001
- T1053.005

Analyzing Threat Actor TTPs with MITRE Navigator

Overview

The MITRE ATT&CK Navigator is a web application for annotating and visualizing ATT&CK matrices. Combined with the attackcti Python library (which queries ATT&CK STIX data via TAXII), analysts can programmatically generate Navigator layer files mapping specific threat group TTPs, compare multiple groups, and assess detection coverage gaps against known adversaries.

When to Use

• When investigating security incidents that require analyzing threat actor ttps with mitre navigator
• When building detection rules or threat hunting queries for this domain
• When SOC analysts need structured procedures for this analysis type
• When validating security monitoring coverage for related attack techniques

Prerequisites

• Python 3.8+ with attackcti and stix2 libraries installed
• MITRE ATT&CK Navigator (web UI or local instance)
• Understanding of STIX 2.1 objects and relationships

Steps

1. Query ATT&CK STIX data for target threat group using attackcti
2. Extract techniques associated with the group via STIX relationships
3. Generate ATT&CK Navigator layer JSON with technique annotations
4. Overlay detection coverage to identify gaps
5. Export layer for team review and defensive planning

Expected Output

{
  "name": "APT29 TTPs",
  "domain": "enterprise-attack",
  "techniques": [
    {"techniqueID": "T1566.001", "score": 1, "comment": "Spearphishing Attachment"},
    {"techniqueID": "T1059.001", "score": 1, "comment": "PowerShell"}
  ]
}

Other files in this skill

• LICENSE
• references/api-reference.md
• scripts/agent.py

references/api-reference.md (verbatim)

Analyzing Threat Actor TTPs with MITRE Navigator — API Reference

attackcti Python Library

STIX 2.1 Group Object Fields

STIX 2.1 Technique Object Fields

ATT&CK Navigator Layer JSON Schema

CLI Usage

# List all ATT&CK threat groups
python agent.py --list-groups

# Analyze a specific group
python agent.py --group "APT29"

# Generate Navigator layer file
python agent.py --group "APT29" --layer-output apt29_layer.json

# Compare multiple groups
python agent.py --compare "APT29" "APT28" "Lazarus Group"

# Save full report as JSON
python agent.py --group "APT29" --layer-output apt29.json --output report.json

External References

• ATT&CK Navigator GitHub
• attackcti Documentation
• MITRE ATT&CK Groups
• STIX 2.1 Specification

Back to mukul975/Anthropic-Cybersecurity-Skills (817 security skills) or Agent skills.