# T-Embed RF SubGHz Wardriving Export **Export Date:** 2026-01-13 **Device:** Bruce T-Embed CC1101 (ESP32-S3) **GPS Source:** Phone (termux-location) **Format:** Wigle-compatible CSV ## Files in This Export ### `test_export_wigle.csv` Wigle-compatible CSV format with GPS+RF signal pairs. **Format:** - **SignalHash:** SHA256 hash of frequency+protocol (16 chars) - **Frequency(MHz):** RF frequency in MHz - **Protocol:** SubGHz protocol (RAW, Princeton, etc.) - **Latitude/Longitude:** GPS coordinates (decimal degrees) - **FirstSeen/LastSeen:** ISO 8601 timestamps - **CaptureCount:** Number of times signal was observed - **BruceFile:** Original .sub filename from Bruce device ### `raw10.sub` Flipper Zero format SubGHz capture file from Bruce T-Embed. **Format:** ``` Filetype: Flipper SubGhz RAW File Version: 1 Frequency: 433920000 (433.92 MHz) Preset: FCC_433 Protocol: RAW RAW_Data: ``` ### `quick_capture.py` Python script to capture GPS+RF pairs and store in database. **Usage:** ```bash python3 quick_capture.py [session_id] ``` ## Current GPS Location **Latest Capture:** - **Coordinates:** 34.073625°N, -118.359557°W - **Accuracy:** 24.5 meters - **Timestamp:** 2026-01-13T19:17:51Z - **Provider:** GPS **Location:** Greater Los Angeles area, California, USA ## Database Schema Stored in: `~/logs/subghz_wardriving.db` (on phone) **Tables:** - `wardriving_sessions` - Session metadata - `gps_track` - GPS breadcrumb trail - `subghz_signals` - RF captures with GPS correlation ## Wigle CSV Sample ```csv WigleWifi-1.4,appRelease=SubGHz-Wardrive-1.0,model=BruceT-Embed... SignalHash,Frequency(MHz),Protocol,RSSI(dBm),Latitude,Longitude... 8a3f2d1c4e5b6a7f,433.920,RAW,,34.073625,-118.359557,24.5... ``` ## Hardware **Bruce T-Embed CC1101:** - **RF Module:** Texas Instruments CC1101 - **Frequency Range:** 300-928 MHz - **Modulations:** ASK, FSK, GFSK, MSK, 2-FSK, 4-FSK - **Data Rate:** 0.6 - 500 kBaud - **RX Sensitivity:** -112 dBm @ 1.2 kBaud - **TX Power:** -30 to +10 dBm **Phone GPS:** - **Providers:** GPS, Network, Passive - **Typical Accuracy:** 10-50 meters - **Update Interval:** 158.4 seconds (2.64 minutes) for wardriving ## Next Steps 1. **Analyze Signals:** Plot frequency distribution 2. **Map Visualization:** Create heatmap of signal locations 3. **Protocol Decode:** Identify known protocols (garage doors, car keys, weather stations) 4. **Expand Collection:** Add more capture sessions 5. **Cross-reference:** Compare with FCC database for legitimate transmitters ## Resources - **Bruce Firmware:** https://github.com/pr3y/Bruce - **Flipper SubGHz:** https://docs.flipperzero.one/sub-ghz - **CC1101 Datasheet:** https://www.ti.com/product/CC1101 - **Wigle.net:** https://wigle.net/ (WiFi wardriving reference) ## Security Notes This system is designed for: - ✅ Security research and education - ✅ RF spectrum analysis - ✅ Authorized penetration testing - ✅ Personal network security assessment - ❌ **NOT for:** Unauthorized access, signal replay attacks, or malicious use --- **System:** SubGHz Wigle-Like Wardriving v1.0 **Documentation:** ~/docs/SUBGHZ_WIGLE_WARDRIVING.md **Database:** ~/logs/subghz_wardriving.db **Export Tool:** ~/python/subghz_wardriving/exporter.py