Even before we released Elcomsoft Cloud Explorer, you’ve been able to download users’ location data from Google. What you would get then was a JSON file containing timestamped geolocation coordinates. While this is an industry-standard open data format, it provides little insight on which places the user actually visits. A full JSON journal filled with location data hardly provides anything more than timestamped geographic coordinates. Even if you pin those coordinates to a map, you’ll still have to scrutinize the history to find out which place the user has actually gone to.
Google has changed that by introducing several mapping services running on top of location history. With its multi-million user base and an extremely comprehensive set of POI, Google can easily make educated guesses on which place the user has actually visited. Google knows (or makes a very good guess) when you eat or drink, stay at a hotel, go shopping or do other activities based on your exact location and the time you spent there. This extra information is also stored in your Google account – at least if you use an Android handset and have Location History turned on.
Elcomsoft Cloud Explorer 1.30 can now process Google’s enhanced location data, which means we can now correctly identify, extract and process user’s routes and display places they visited (based on Google’s POI). This significantly improves readability of location data, providing a list of places (such as restaurants, landmarks or shops) instead of plain numbers representing geolocation coordinates. In this article, we’ll figure out how to obtain that data and how to analyze it. (more…)