AbuseIPDB API reference. IP reputation and abuse report lookups.
日本語の概要は準備中です。原文の説明を表示しています。
Use when a user asks to investigate, check, enrich, or characterize an IP address (IPv4 or IPv6). Chains VirusTotal, Shodan, AbuseIPDB, GreyNoise, OTX, and optionally Censys in parallel, then consolidates findings and prioritizes follow-up IOCs. Invoked by /cti-orchestrator when the target is an IP.
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Investigate an IP address end-to-end. Chain multiple lookup-* skills, consolidate results, prioritize follow-up IOCs, and return a rated investigation summary. You invoke skills — you don't call APIs directly.
This skill invokes: /lookup-liberty91 (first-party — run first), /lookup-virustotal, /lookup-shodan, /lookup-abuseipdb, /lookup-greynoise, /lookup-otx, optionally /lookup-censys, optionally /lookup-reversinglabs (network threat-intel + sample fan-out), optionally /lookup-crowdstrike (IOC reputation + actor/malware links), optionally /lookup-misp and/or /lookup-opencti (internal correlation), optionally /lookup-sentinel (exposure check in your own telemetry), then /source-assessment, /tlp-guide, /confidence-levels.
indicator: <IPv4 or IPv6 address>
context: <optional — why is the user asking? where did this come from?>
tlp_ceiling: <optional — CLEAR/GREEN/AMBER/AMBER+STRICT/RED, default AMBER>
data/iocs/ — if yes, load existing enrichment and note ageInvoke in parallel (agents should batch these calls):
/lookup-liberty91 ioc-lookup <value> # FIRST-PARTY, if $LIBERTY91_API_KEY is set — run first: is this already in your own platform, with what verdict, confidence and TLP?
/lookup-greynoise ip <value> # FAST — filter out noise early
/lookup-virustotal ip <value> # reputation aggregate
/lookup-abuseipdb ip <value> # abuse reports
/lookup-shodan ip <value> # infrastructure fingerprint
/lookup-otx ip <value> # community pulses
Add to the same parallel batch if credentials are configured:
/lookup-reversinglabs ip <value> # if $REVERSINGLABS_USER is set. Network reputation from RL's malware-analysis corpus — files seen contacting this IP, RL classification. One API call, no pivot fan-out.
/lookup-crowdstrike indicator <value> # if $CROWDSTRIKE_CLIENT_ID is set. Falcon Intel view — malicious confidence, linked actors + malware families, report refs. One API call.
/lookup-misp search-attributes --value <value> # if $MISP_URL + $MISP_KEY are set. Internal correlation against your own catalogued events.
/lookup-opencti lookup <value> # if $OPENCTI_URL + $OPENCTI_TOKEN are set. Internal correlation against your OpenCTI knowledge base (observables + indicators in one call).
Optionally add (escalation — separate API budget):
/lookup-censys ip <value> # ONLY if Shodan insufficient + quota available
/lookup-reversinglabs ip <value> --pivot files,domains,urls --max-results 25
# only when you want sample fan-out from the IP — each --pivot entry is a separate API call
If GreyNoise returns noise: true and classification: benign, AND AbuseIPDB confidence <10, this is likely mass-scanning background noise. Summarize briefly and stop — no need to burn full analysis on it. Note: noise: true with classification: malicious is still interesting (opportunistic attacker infrastructure).
Build a unified view:
indicator: <ip>
type: ipv4 | ipv6
consolidated_verdict: malicious | suspicious | clean | benign-noise | unknown
detection_signals:
- source: virustotal
detection_ratio: <X/Y>
verdict: <...>
- source: abuseipdb
abuse_confidence: <0-100>
recent_reports: <count>
- source: greynoise
noise: <bool>
riot: <bool>
classification: <...>
infrastructure:
asn: <...>
org: <...>
country: <...>
open_ports: <[...] from shodan>
services: <top 5 from shodan>
vulnerabilities: <CVE list>
certificates: <present/absent>
community_context:
pulse_count: <from otx>
key_actors_attributed: <any pulse authors or malware families?>
pivot_candidates:
- type: domain
value: <hostname from shodan/vt>
reason: <"resolves to this IP", "shares cert", etc.>
- type: hash
value: <communicating_files from vt>
reason: <...>
Rank pivot candidates by investigative value:
Return the top 3-5 candidates to the invoking skill or orchestrator for optional deep-dive via /domain-investigation, /hash-investigation, or /indicator-pivoting.
If $SENTINEL_WORKSPACE_ID + app credentials are set and the verdict is malicious or suspicious, chain /lookup-sentinel to sweep the IP across the workspace's available tables (DeviceNetworkEvents, CommonSecurityLog, SigninLogs, … — that skill discovers what exists before querying). Report hits with first/last seen and affected devices/accounts; report a miss as "not observed in collected telemetry over <window>", never "not compromised". Skip for benign-noise verdicts.
Before returning, chain:
/source-assessment — rate each lookup result (defaults in each lookup skill's frontmatter)/tlp-guide — mark the investigation output (default AMBER)/confidence-levels — score the consolidated verdict (MISP 0-100)title: "IP Investigation: <ip>"
tlp: AMBER
confidence: <0-100>
summary: <2-3 sentences>
verdict: <...>
detection_signals: <...>
infrastructure: <...>
community_context: <...>
pivot_candidates: <top 3-5>
source_ratings:
virustotal: B2
shodan: B2
...
investigation_date: <ISO8601>
recommended_next_steps:
- <e.g., "pivot on domain X via /domain-investigation">
Respect the lookup skills' own rate limits. Parallelizing 5 lookups on one IP = 5 API calls total, well within all free tiers. Don't loop over a list without throttling — use /ioc-enrichment-workflow for bulk.
/domain-investigation, /hash-investigation, /url-investigation — sibling investigation skills/indicator-pivoting — deeper graph traversal from a starting IOC/ioc-enrichment-workflow — bulk IOC list enrichment/threat-actor-profiling — if the IP is attributed to a known actor, consider profiling/cti-orchestrator — typically the callerまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
AbuseIPDB API reference. IP reputation and abuse report lookups.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Censys API v2 reference. Host reconnaissance and certificate data.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。