Data Points

📮 Physical Address

🔗 Analyst pivots

🔌 Sources that yield Physical Address (3)

🧭 Disciplines

🎯 Mission Domains

🔍 Lookup

🔄 Live Datasets & APIs (2 key-free · ingestible)

📜 Playbook — Physical Address exploitation

1. Direction — frame the requirement for Physical Address: what decision does this support, by when?
2. Collection — pull the 3 mapped sources (3 free) and the native workbench; 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

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

🗃 Data Management

🧩 Advanced Capabilities

✨ Enrichment pathways

🎫 Physical Address

A physical address is a structured geographic location (street, locality, region, postal code, country) tied to residence, business, or registration records. It grounds digital identities in the physical world, enabling co-location analysis, corporate-registration linkage, and pattern-of-life reconstruction.

Format: Unstructured or structured postal address; normalize/geocode to lat-long and standardized components (libpostal, ISO-3166 country, postal-code regex per country). Validate against authoritative address datasets.

📡 How it is collected

• Corporate registries and business filings
• Property and land records
• WHOIS registrant addresses
• Breach and delivery/marketing datasets
• Court filings and legal notices
• Geocoded social/EXIF metadata

📚 Enrichment & validation sources

🔗 Pivot to

🧩 Analysis & hunting techniques

• Address normalization and geocoding
• Co-location clustering (shared registered addresses)
• Mass-registration / virtual-office detection
• Property-ownership chain analysis
• Reverse-geocoding of EXIF/geo metadata
• Satellite/street-level imagery verification
• Corporate-registry address correlation
• Postal-format validation per jurisdiction

🔧 Tools

• libpostal
• Nominatim
• QGIS
• OpenRefine
• Maltego
• OSM Overpass Turbo
• Google Earth (reference)
• OpenCorporates API

⚡ Workbench actions

• Normalize and geocode address
• Detect shared/virtual-office registrations
• Map co-located entities
• Pull property/registry ownership
• Verify with satellite/street imagery
• Reverse-geocode media metadata
• Cluster registrants by address
• Plot on country dashboard map

📊 Dashboard KPIs

📂 Open