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mukul975
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Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
2.5 KiB
2.5 KiB
API Reference: MITRE ATT&CK Navigator APT Analysis
ATT&CK Navigator Layer Format
Layer JSON Structure
{
"name": "APT29 - TTPs",
"versions": {"attack": "14", "navigator": "4.9.1", "layer": "4.5"},
"domain": "enterprise-attack",
"techniques": [
{
"techniqueID": "T1566.001",
"tactic": "initial-access",
"color": "#ff6666",
"score": 100,
"comment": "Used by APT29",
"enabled": true
}
],
"gradient": {"colors": ["#ffffff", "#ff6666"], "minValue": 0, "maxValue": 100}
}
ATT&CK STIX Data Access
Download Enterprise ATT&CK Bundle
curl -o enterprise-attack.json \
https://raw.githubusercontent.com/mitre/cti/master/enterprise-attack/enterprise-attack.json
STIX Object Types
| Type | Description |
|---|---|
intrusion-set |
APT groups / threat actors |
attack-pattern |
Techniques and sub-techniques |
relationship |
Links groups to techniques (uses) |
malware |
Malware families |
tool |
Legitimate tools used by adversaries |
mitreattack-python Library
Installation
pip install mitreattack-python
Query Group Techniques
from mitreattack.stix20 import MitreAttackData
attack = MitreAttackData("enterprise-attack.json")
groups = attack.get_groups()
for g in groups:
techs = attack.get_techniques_used_by_group(g)
print(f"{g.name}: {len(techs)} techniques")
Get Technique Details
technique = attack.get_object_by_attack_id("T1566.001", "attack-pattern")
print(technique.name) # Spearphishing Attachment
print(technique.x_mitre_platforms) # ['Windows', 'macOS', 'Linux']
Navigator CLI (attack-navigator)
Export Layer to SVG
npx attack-navigator-export \
--layer layer.json \
--output output.svg \
--theme dark
ATT&CK API (TAXII)
from stix2 import TAXIICollectionSource, Filter
from taxii2client.v20 import Collection
collection = Collection(
"https://cti-taxii.mitre.org/stix/collections/95ecc380-afe9-11e4-9b6c-751b66dd541e/"
)
tc_source = TAXIICollectionSource(collection)
groups = tc_source.query([Filter("type", "=", "intrusion-set")])
Key APT Groups Reference
| ID | Name | Known Aliases |
|---|---|---|
| G0016 | APT29 | Cozy Bear, The Dukes, NOBELIUM |
| G0007 | APT28 | Fancy Bear, Sofacy, Strontium |
| G0022 | APT3 | Gothic Panda, UPS |
| G0032 | Lazarus Group | HIDDEN COBRA, Zinc |
| G0074 | Dragonfly 2.0 | Energetic Bear, Berserk Bear |
| G0010 | Turla | Waterbug, Venomous Bear |