RattaGATTa: Scalable Bluetooth Low-Energy Survey

The report describes “Phase 1: RattaGATTA,” a ~$100, ESP32-based system for large-scale BLE reconnaissance and device fingerprinting, using multiple collectors coordinated by a logger to scan advertisements, selectively initiate exclusive GATT connections, and extract unique metadata. It explains radio coexistence (WiFi/BLE), adaptive frequency hopping constraints, and employs sharding, hashing, and rate-limiting to prevent duplication and disruption while ensuring ethical operation. The output is aggregated into structured JSONL and transformed into relational tables to enable vendor/product/version labeling from GATT trees. This is a methodology and tooling write-up for BLE data collection, not an incident or vulnerability disclosure.