abuseipdb-api
FreeAbuseIPDB API reference. IP reputation and abuse report lookups.
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MITRE ATT&CK local dataset reference. Query techniques, groups, software, and mitigations from the local enterprise-attack.json.
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See how to installReview the instructions the agent will receive before you install.
Local file: mitre-attack/enterprise-attack.json (~45 MB STIX 2.1 bundle).
First use — if the file is missing, run the bundled download script before any query:
./scripts/download-mitre.sh
The script is idempotent (skips if the file is already present) and supports --force for refresh. If scripts/download-mitre.sh is not present in the install (e.g. for plugin-only deployments), fall back to:
mkdir -p mitre-attack
curl -fsSL https://raw.githubusercontent.com/mitre/cti/master/enterprise-attack/enterprise-attack.json \
-o mitre-attack/enterprise-attack.json
This yields a STIX 2.1 bundle containing all Enterprise ATT&CK objects.
The dataset is a JSON file with a objects array. Each object has a type field.
cat mitre-attack/enterprise-attack.json | python3 -c "
import json, sys
data = json.load(sys.stdin)
tid = 'T1566' # Change as needed
for obj in data['objects']:
refs = obj.get('external_references', [])
for ref in refs:
if ref.get('external_id') == tid:
print(json.dumps(obj, indent=2))
break
"
Tactics are mapped via kill_chain_phases[].phase_name:
reconnaissance, resource-development, initial-access, execution, persistenceprivilege-escalation, defense-evasion, credential-access, discoverylateral-movement, collection, command-and-control, exfiltration, impact# Groups have type "intrusion-set"
cat mitre-attack/enterprise-attack.json | python3 -c "
import json, sys
data = json.load(sys.stdin)
name = 'APT28' # Change as needed
for obj in data['objects']:
if obj.get('type') == 'intrusion-set':
aliases = obj.get('aliases', [])
if name in aliases or obj.get('name') == name:
print(json.dumps(obj, indent=2))
"
Groups link to techniques via relationship objects with relationship_type: "uses".
Software objects have type malware or tool.
| Type | ATT&CK Concept | Key Fields |
|---|---|---|
attack-pattern | Technique | name, description, kill_chain_phases, external_references (technique ID) |
intrusion-set | Group | name, aliases, description |
malware | Malware | name, description, labels |
tool | Tool | name, description |
course-of-action | Mitigation | name, description |
relationship | Links objects | source_ref, target_ref, relationship_type |
x-mitre-tactic | Tactic | name, x_mitre_shortname |
| ID | Name | Common Use |
|---|---|---|
| T1566 | Phishing | Initial access via email |
| T1566.001 | Spearphishing Attachment | Malicious attachment |
| T1566.002 | Spearphishing Link | Malicious URL |
| T1059 | Command and Scripting Interpreter | Execution via scripts |
| T1059.001 | PowerShell | PowerShell execution |
| T1078 | Valid Accounts | Using legitimate credentials |
| T1071 | Application Layer Protocol | C2 over HTTP/HTTPS/DNS |
| T1055 | Process Injection | Code injection for evasion |
| T1053 | Scheduled Task/Job | Persistence via scheduled tasks |
| T1547 | Boot or Logon Autostart | Persistence via autostart |
| T1562 | Impair Defenses | Disabling security tools |
| T1486 | Data Encrypted for Impact | Ransomware encryption |
| T1190 | Exploit Public-Facing Application | Vulnerability exploitation |
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AbuseIPDB API reference. IP reputation and abuse report lookups.
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Analysis of Competing Hypotheses — structured technique for evaluating multiple explanations against evidence. Use when facing ambiguous attribution or multiple plausible scenarios. Prefers graded evidence items from /quality-of-information-check and runs that skill first when handed raw URLs or text. Runs on ungraded evidence when asked, labelled as such, unweighted, and capped at Moderate confidence.
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Use when documenting a named campaign across time and victims, the user asks to start or update a campaign record, or another skill identified a multi-incident cluster that warrants formal tracking. Provides the template (timeline, attribution, victimology, attack chain, Diamond Model mapping, IOC clusters) and the lifecycle from active to historical.
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Use when the user asks about carding, BIN attacks, payment-card breach markets, fullz/CVV2 trade, autoshops (BidenCash, Brian's Club, Russianmarket, B1ack's Stash), or financial-fraud TTPs. Self-updating knowledge cell.
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Censys API v2 reference. Host reconnaissance and certificate data.
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Use when the user asks about Chinese state-sponsored cyber operations or specific PRC-aligned actors (APT41, Volt Typhoon, Mustang Panda, APT10, APT31, Salt Typhoon, etc.), MSS/PLA-attributed campaigns, or PRC sector targeting. Self-updating knowledge cell.
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