Data Points

🔗 Domain Name

Human-readable address that maps to IP infrastructure via DNS.
Network

Sources

2
2 no-auth

Disciplines

2
that use it

Mission domains

2
reach

Workbench

native tool

🔌 Sources that yield Domain Name (2)

SourceCategoryAuthFormat
MetaMask eth-phishing-detect
Community crypto-phishing domain blocklist (100k+ domains).
Crypto PhishingNONEjsonhome↗ api↗
ScamSniffer scam domains
Community crypto scam / drainer domains.
Crypto PhishingNONEjsonhome↗ api↗

🔍 Lookup

📜 Playbook — Domain Name exploitation

  1. Direction — frame the requirement for Domain Name: what decision does this support, by when?
  2. Collection — pull the 2 mapped sources (2 free) and the native workbench (open); capture provenance and observe OPSEC.
  3. Processing — normalize, de-duplicate and enrich the collected data.
  4. Analysis — correlate against local holdings; apply ACH; assign confidence.
  5. Dissemination — open a case, draft a report, share via STIX/MISP.
  6. Feedback — set an alert rule / watchlist to monitor for change.

⚡ AI Skills & Automation

🤖 Copilot brief⚡ AI SkillsResolveEnrichAuto-CollectHuntReportExport

Automate unattended via the cron pipeline (collect → ingest → resolve → enrich → score → alert).

🎫 Domain Name

A domain name is a human-readable label registered in the DNS hierarchy (e.g. example.com) that maps to network resources and organizational identity. In investigations it anchors campaign infrastructure, reveals registrant patterns, and clusters related malicious assets through shared registration and hosting artifacts.

Format: RFC 1035 labels, each <=63 chars, total <=253; LDH rule (letters/digits/hyphen); IDN as punycode (xn--). Must resolve to a registered eTLD+1 on the Public Suffix List.

📡 How it is collected

  • WHOIS/RDAP registration records
  • Passive DNS resolutions
  • Certificate Transparency logs (SAN entries)
  • Email headers and message bodies
  • Malware C2 config extraction / sandbox detonation
  • Web crawling and referrer/link analysis

🧩 Analysis &amp; hunting techniques

  • WHOIS/registrant pivoting
  • Passive DNS historical resolution mapping
  • CT-log subdomain enumeration
  • Registration timing and bulk-registration correlation
  • Name-server and DNS-provider clustering
  • Typosquat/homoglyph detection
  • Domain age and reputation scoring
  • Fast-flux detection

🔧 Tools

  • Amass
  • dnstwist
  • SecurityTrails
  • crt.sh
  • MISP
  • Maltego
  • urlscan.io
  • whois/rdap CLI

⚡ Workbench actions

  • Resolve DNS records
  • Query passive DNS history
  • Enumerate subdomains from CT logs
  • Pull WHOIS/RDAP registration
  • Generate typosquat permutations
  • Screen against threat feeds
  • Cluster by name server / registrant
  • Snapshot live site (urlscan)

📊 Dashboard KPIs

Domain age (days since registration)Reputation / malicious-verdict scoreCount of resolving A records over timeNumber of associated subdomainsDays-to-first-seen in threat feeds
Workstation · Copilot · AI Skills · Automation · Playbooks · Lookups · Docs · Reports

🤖 AI Copilot

🔍 Lookup & Enrich

💡 Recommendations

⚙ Automation

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