abuseipdb-api
FreeAbuseIPDB API reference. IP reputation and abuse report lookups.
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Use when the user asks "what is coming next?", wants strategic forecasting, or is hunting weak signals of emerging threats before they materialise. Covers signal identification, trend analysis, and scenario development.
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Horizon scanning identifies emerging threats, opportunities, and developments that could impact the organisation's security posture in the medium to long term (6-24 months).
Weak signals are early indicators of emerging trends. Sources:
| Category | Examples |
|---|---|
| Emerging TTPs | New exploitation techniques, novel social engineering methods, AI-augmented attacks |
| Technology shifts | New platforms widely adopted, legacy tech being deprecated, cloud migration patterns |
| Threat actor evolution | New groups emerging, existing groups changing targets, capability development |
| Geopolitical drivers | Conflicts, sanctions, elections, diplomatic shifts |
| Regulatory/legal | New laws, enforcement actions, liability changes |
| Underground economy | New services, market shifts, ecosystem changes |
For each significant signal, develop three scenarios:
For each scenario:
For each high-impact scenario, define:
## Horizon Scanning Report: [Focus Area]
**Period**: [Time horizon]
**Date**: YYYY-MM-DD
### Executive Summary
[Key emerging threats and their implications]
### Emerging Threats
#### [Threat 1]: [Title]
- **Signal strength**: Weak / Emerging / Established
- **Time horizon**: [When could this materialise?]
- **Likelihood**: [Probability yardstick term]
- **Potential impact**: [Critical/High/Moderate/Low]
- **Confidence**: [Level with rationale]
- **Description**: [What is this threat and why does it matter?]
- **Early warning indicators**: [What to watch for]
- **Recommended action**: [Proactive steps]
### Scenario Analysis
[For top 2-3 threats, develop best/worst/most likely scenarios]
### Collection Gaps
[What we need to monitor but currently can't]
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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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