Red Analyzing Threat Actor Ttps With Mitre Navigator
ASecurity
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.
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---
name: red-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.
domain: red
category: threat-intelligence
hide: true
license: Apache-2.0
metadata:
manifest_entry: src/corpus/red-analyzing-threat-actor-ttps-with-mitre-navigator/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"}
]
}
```
## Shipped Playbook Resources
- `skill://red-analyzing-threat-actor-ttps-with-mitre-navigator/references/api-reference.md` — API and execution command reference