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Skill32.6k repo starsupdated 11d ago

analyzing-threat-actor-ttps-with-mitre-navigator

This Claude Code skill maps advanced persistent threat (APT) group tactics, techniques, and procedures by programmatically querying MITRE ATT&CK STIX data through the attackcti library and generating Navigator layer files. Use it when investigating security incidents, building detection rules, assessing monitoring coverage gaps, or validating defensive controls against known threat actor behaviors.

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git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills /tmp/analyzing-threat-actor-ttps-with-mitre-navigator && cp -r /tmp/analyzing-threat-actor-ttps-with-mitre-navigator/skills/analyzing-threat-actor-ttps-with-mitre-navigator ~/.claude/skills/analyzing-threat-actor-ttps-with-mitre-navigator
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# 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

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