Equipment used and purpose
• RTL-SDR – GSM Traffic
• Wi-Fi Range Extender – Wireless Traffic
Our collection targeted SSID’s (Service Set Identifier), MAC (Media Access Control) addresses that were categorised to random and non-random, as well as attempts to geolocate these. Here is what we found.
• 2132 unique SSID’s
• 845 unique non-random MAC addresses
• 7999 (7237 removed duplications) random MAC addresses
• 542 networks geolocated
• 25.4% networks could be geolocated
Due to constraints around API usage we geofenced our collection of SSID geolocation through WIGLE, an open-source Wi-Fi mapping platform. The results were still astounding with many of these networks belonging to home routers where we could narrow down the SSID location to the street level. We also noted during data processing that 762 random MAC addresses were removed after removal of duplications. The reason for this is that randomised MAC addresses were designed as a way of increasing privacy. Some devices will however reuse the same MAC address to connect to the same SSID. This obfuscates the device itself but not when it comes to understanding if the device is within a specific location. There was a notable similarity found during analysis between the country associated with SIM cards traced and SSID’s tracked during this demo.