Disciplines

📻 Radio Frequency Intelligence (RFINT)

The Electromagnetic Spectrum as an Intelligence Source
Technical

Sources

3
3 no-auth

Mission domains

3
reach

Data points

3
covered

Related INT

2
disciplines

🔌 Sources for Radio Frequency Intelligence (3)

SourceCategoryAuthFormat
SatNOGS / WebSDR (RF)
Crowd-sourced RF/radio observation network.
RFINTNONEjsonhome↗ api↗
SatNOGS network
Crowd-sourced RF observations.
RF/SpaceNONEjsonhome↗ api↗
WebSDR network
Global SDR receivers.
RFNONEhtmlhome↗ api↗

🔍 Lookup

📜 Playbook — Radio Frequency Intelligence collection

  1. Direction — frame the requirement for Radio Frequency Intelligence: what decision does this support, by when?
  2. Collection — collect from the 3 mapped sources (3 free) — filter the catalog by RFINT; 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).

🎯 Mission

Radio Frequency Intelligence surveys and characterizes the RF spectrum to detect, decode, fingerprint and geolocate emitters — aircraft, vessels, drones, IoT and navigation systems. It answers which emitters are active where, whom they belong to, and where GNSS jamming or spoofing and unauthorized transmissions are occurring.

📡 Collection methods

  • Wideband spectrum survey and waterfall monitoring via software-defined radio
  • ADS-B, AIS, ACARS and POCSAG protocol demodulation and decoding
  • TDoA / multilateration emitter geolocation from distributed receivers
  • RF fingerprinting of transmitters from unintentional emitter characteristics
  • GNSS interference (jamming and spoofing) detection and mapping
  • Drone control- and video-link RF detection and classification

🔧 Tools & frameworks

  • GNU Radio
  • GQRX
  • dump1090
  • rtl_ais
  • Universal Radio Hacker (URH)
  • multimon-ng
  • SatDump
  • Inspectrum

📜 Radio Frequency Intelligence Tradecraft

  1. Run wideband SDR surveys and pull ADS-B and AIS feeds across the target area and bands
  2. Demodulate and decode protocols, building a time-stamped emitter log with signal parameters
  3. Cluster emitters by RF fingerprint and correlate tracks across distributed sensors
  4. Geolocate emitters via TDoA and tie callsigns and MMSIs to platforms and operators
  5. Publish an electronic order-of-battle and emitter map with flagged anomalies
  6. Flag GNSS jamming and spoofed tracks and cue GEOINT and SIGINT

📊 Dashboard KPIs

Emitters trackedBands surveyedGeo-fixesSpoof/jam eventsFingerprints matched
Workstation · Copilot · AI Skills · Automation · Playbooks · Lookups · Docs · Reports

🤖 AI Copilot

🔍 Lookup & Enrich

💡 Recommendations

⚙ Automation

Cron: 0 * * * * php /home/zaptf0zdggll/public_html/threats/cron.php