Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

3.5 KiB

Analyzing Threat Actor TTPs with MITRE Navigator — API Reference

attackcti Python Library

Method Description
attack_client() Initialize STIX/TAXII client for ATT&CK data
client.get_groups() Retrieve all threat groups from ATT&CK
client.get_techniques() Retrieve all techniques from ATT&CK
client.get_techniques_used_by_group(group) Get techniques linked to a specific group
client.get_software() Retrieve all software/tools from ATT&CK
client.get_software_used_by_group(group) Get software used by a specific group
client.get_mitigations() Retrieve all mitigations from ATT&CK
client.get_data_sources() Retrieve all data sources from ATT&CK

STIX 2.1 Group Object Fields

Field Description
id STIX object ID (e.g., intrusion-set--abc123)
name Group name (e.g., APT29)
aliases Alternative names for the group
description Group description and background
external_references List of references including ATT&CK ID
created Object creation timestamp
modified Last modification timestamp

STIX 2.1 Technique Object Fields

Field Description
name Technique name (e.g., Spearphishing Attachment)
external_references[].external_id ATT&CK technique ID (e.g., T1566.001)
x_mitre_platforms Target platforms (Windows, Linux, macOS)
kill_chain_phases Associated tactics in the kill chain
x_mitre_detection Detection guidance for the technique
x_mitre_is_subtechnique Whether this is a sub-technique

ATT&CK Navigator Layer JSON Schema

Field Type Description
name string Layer display name
versions.attack string ATT&CK version (e.g., "15")
versions.navigator string Navigator version (e.g., "5.0")
versions.layer string Layer format version (e.g., "4.5")
domain string enterprise-attack, mobile-attack, or ics-attack
techniques[].techniqueID string ATT&CK technique ID
techniques[].score integer Numeric score for coloring (0-100)
techniques[].color string Hex color override (e.g., #ff6666)
techniques[].comment string Annotation text for the technique
techniques[].enabled boolean Whether technique cell is enabled
gradient.colors array Color gradient from min to max score
gradient.minValue integer Minimum score value
gradient.maxValue integer Maximum score value
filters.platforms array Platforms to display in the matrix
legendItems[].label string Legend entry label
legendItems[].color string Legend entry color

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