abuseipdb-api
FreeAbuseIPDB API reference. IP reputation and abuse report lookups.
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Use when the user asks about ISAC participation, TAXII feeds, MISP communities, FIRST, STIX-based sharing, or how to publish intelligence externally. Covers sharing models, standards, communities, and TLP-governed dissemination.
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Intelligence sharing creates a network effect — threats identified by one organisation protect the entire community. However, sharing must be governed, reciprocal, and risk-managed.
Sector-specific sharing communities.
| ISAC | Sector | URL |
|---|---|---|
| FS-ISAC | Financial Services | fs-isac.com |
| H-ISAC | Healthcare | h-isac.org |
| IT-ISAC | Technology | it-isac.org |
| E-ISAC | Energy | eisac.com |
| A-ISAC | Aviation | a-isac.com |
| Auto-ISAC | Automotive | automotiveisac.com |
Benefits: Sector-relevant intelligence, trusted community, pre-vetted members, established TLP norms.
Global incident response community. Membership-based, includes national CERTs and enterprise security teams.
Sharing via: FIRST mailing lists, TF-CSIRT community, CTI SIG.
Open-source threat intelligence platform for sharing IOCs and threat data.
How to share via MISP:
Standards for structured intelligence exchange.
TAXII channels:
Direct sharing with trusted partners under agreed terms.
Requirements:
| TLP | Sharing Scope | Automated Sharing? |
|---|---|---|
| RED | Named recipients only | No |
| AMBER+STRICT | Own organisation | No |
| AMBER | Organisation + need-to-know | Restricted TAXII |
| GREEN | Community | ISAC portals, MISP community |
| CLEAR | Unrestricted | Public TAXII feeds, blogs |
Shared intelligence should meet the same quality standards as internal products:
The number one complaint about shared intelligence: "Just IOCs with no context." Always share the WHY alongside the WHAT.
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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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