Analyzing Threat Actor Ttps With Mitre Navigator

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

Trigger phrases:

• "analyzing threat actor ttps with mitre navigator"

• "Map advanced persistent threat (APT) group tactics, techniques, and procedures ("

• 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

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

• 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"}
  ]
}

Red Flags

• Performing actions without explicit written authorization from the asset owner
• Testing against production systems without a defined scope and rules of engagement
• Acting on threat intelligence without validating source reliability
• Sharing classified or sensitive indicators without proper handling procedures
• Alerting threat actors to detection capabilities through visible response actions

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 steps executed successfully against a test environment before production use
• Output documented with screenshots or logs demonstrating expected behavior
• Results validated against known-good baselines or reference implementations
• Documentation complete enough for another analyst to reproduce findings

Anti-Rationalization Table