analyzing-apt-group-with-mitre-navigator

name	analyzing-apt-group-with-mitre-navigator
description	Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
domain	cybersecurity
subdomain	threat-intelligence
tags	["mitre-attack","navigator","apt","threat-actor","ttp-analysis","heatmap","detection-gap","threat-intelligence"]
version	1.0
author	mahipal
license	Apache-2.0
d3fend_techniques	["Executable Denylisting","Execution Isolation","File Metadata Consistency Validation","Content Format Conversion","File Content Analysis"]
nist_csf	["ID.RA-01","ID.RA-05","DE.CM-01","DE.AE-02"]
mitre_attack	["T1059.001","T1071.001","T1003.001","T1486","T1547.001"]
source	https://github.com/mukul975/Anthropic-Cybersecurity-Skills
source_commit	04450304b12645cb2b974ab96d28c0664758a88d

Analyzing APT Group with MITRE ATT&CK Navigator

Overview

MITRE ATT&CK Navigator is a web-based tool for annotating and exploring ATT&CK matrices, enabling analysts to visualize threat actor technique coverage, compare multiple APT groups, identify detection gaps, and build threat-informed defense strategies. This skill covers querying ATT&CK data programmatically, mapping APT group TTPs to Navigator layers, creating multi-layer overlays for gap analysis, and generating actionable intelligence reports for detection engineering teams.

When to Use

• When investigating security incidents that require analyzing apt group 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 3.9+ with attackcti, mitreattack-python, stix2, requests libraries
• ATT&CK Navigator (https://mitre-attack.github.io/attack-navigator/) or local deployment
• Understanding of ATT&CK Enterprise matrix: 14 Tactics, 200+ Techniques, Sub-techniques
• Access to threat intelligence reports or MISP/OpenCTI for threat actor data
• Familiarity with STIX 2.1 Intrusion Set and Attack Pattern objects

Key Concepts

ATT&CK Navigator Layers

Navigator layers are JSON files that annotate ATT&CK techniques with scores, colors, comments, and metadata. Each layer can represent a single APT group's technique usage, a detection capability map, or a combined overlay. Layer version 4.5 supports enterprise-attack, mobile-attack, and ics-attack domains with filtering by platform (Windows, Linux, macOS, Cloud, Azure AD, Office 365, SaaS).

APT Group Profiles in ATT&CK

ATT&CK catalogs over 140 threat groups with documented technique usage. Each group profile includes aliases, targeted sectors, associated campaigns, software used, and technique mappings with procedure-level detail. Groups are identified by G-codes (e.g., G0016 for APT29, G0007 for APT28, G0032 for Lazarus Group).

Multi-Layer Analysis

The Navigator supports loading multiple layers simultaneously, allowing analysts to overlay threat actor TTPs against detection coverage to identify gaps, compare multiple APT groups to find common techniques worth prioritizing, and track technique coverage changes over time.

Workflow

Step 1: Query ATT&CK Data for APT Group

from attackcti  attack_client
 json

lift = attack_client()


groups = lift.get_groups()
()


apt29 = ((g  g  groups  g.get() == ), )
 apt29:
    ()
    ()
    ()


techniques = lift.get_techniques_used_by_group()
()

technique_map = {}
 tech  techniques:
    tech_id = 
     ref  tech.get(, []):
         ref.get() == :
            tech_id = ref.get(, )
            
     tech_id:
        tactics = [p.get(, )  p  tech.get(, [])]
        technique_map[tech_id] = {
            : tech.get(, ),
            : tactics,
            : tech.get(, )[:],
            : tech.get(, []),
            : tech.get(, []),
        }