AbuseIPDB API reference. IP reputation and abuse report lookups.
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Use when you need abuse-report history for an IPv4/IPv6 address — confidence score, total reports, distinct reporters, usage type. IP-only. Commonly invoked by /ip-investigation. Retrieval only.
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实测评分 未实测
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Queries AbuseIPDB for IP reputation data. IP addresses only (v4 and v6). Retrieval only — do not interpret.
Two CLIs are provided. Pick by capability needed:
node tools/clis/abuseipdb.js ip <ip>
Hits the /check endpoint with a 90-day window. Best for fast retrieval inside an investigation chain.
python3 tools/clis/abuseipdb.py check <ip> [--max-age-in-days N] [--verbose]
python3 tools/clis/abuseipdb.py reports <ip> [--per-page N] [--page N]
python3 tools/clis/abuseipdb.py check-block <cidr> [--max-age-in-days N]
python3 tools/clis/abuseipdb.py blacklist [--confidence-min N] [--limit N]
[--ip-version 4|6]
[--only-countries CC,CC]
[--except-country CC,CC]
No external deps — Python 3 stdlib only, no venv needed.
Capabilities the Node CLI doesn't have:
check --verbose) — full per-report list including category, comment, reporter ID, country.check-quota).check-block) — reputation summary across an entire network range. Useful for triaging suspicious /24s, hosting providers, ASN sub-ranges.Examples:
# Detailed report list for a suspect IP
python3 tools/clis/abuseipdb.py check 185.220.101.45 --verbose
# What's been reported in this /24 in the last 30 days?
python3 tools/clis/abuseipdb.py check-block 185.220.101.0/24
# Pull RU-only IPs with 90%+ confidence, max 500
python3 tools/clis/abuseipdb.py blacklist --only-countries RU --confidence-min 90 --limit 500
Both CLIs accept --dry-run to preview the request without calling the API. Both exit code 2 if $ABUSEIPDB_API_KEY is unset (when not in dry-run). Report missing key; do not fabricate.
AbuseIPDB also exposes /report, /bulk-report, and /clear-address for contributing reports back. These are NOT wired into either CLI by default — this skill is retrieval-focused. To contribute reports, use the AbuseIPDB web UI or write a deliberate purpose-built script with a confirmation flow.
source: abuseipdb
indicator: <IP>
query_time: <ISO8601>
abuse_confidence: <0-100>
total_reports: <number>
distinct_reporters: <number>
last_reported: <date>
isp: <ISP>
usage_type: <type>
country: <country>
is_tor: <boolean>
recent_report_categories: [<list of category IDs>]
Free tier: 1000 checks/day. Paid tiers have higher limits.
Default rating for downstream /score-source: C3 (fairly reliable, possibly true). Community-reported; false positives possible. Upgrade to B2 if distinct_reporters >10 and abuse_confidence >75.
/lookup-greynoise — scanner/noise classification for the same IP/lookup-virustotal, /lookup-shodan, /lookup-otx — additional IP context/ip-investigationtools/integrations/abuseipdb.mdtools/clis/abuseipdb.jstools/clis/abuseipdb.py还没有评价。欢迎分享你的使用感受。
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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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