This picture shows what happens when your ads data gets leaked. If we tie them to you, we know exactly where you went and at what hotel you stayed, for example. As the dots tell of this unfortunate person.
This is a privacy issue of course. But, in the Gravy Analytics leak, we witness first-hand the consequence of using tech giants services instead of privacy-focused solutions.
The sample the hacker leaked included millions of location data points. Areas covered include military bases, the White House, the Vatican etc. You are not safe just because you are in a physically restricted area.
The data was sourced from some apps including:
com . facebook . katana (Facebook)
com . instagram . android (Instagram)
com . whatsapp (WhatsApp)
com . snapchat . android (Snapchat)
com . tiktok . android (TikTok)
com . google . android . youtube (YouTube)
com . spotify . music (Spotify)
com . king . candycrushsaga (Candy Crush Saga)
com . miniclip . eightballpool (8 Ball Pool)
com . supercell . clashofclans (Clash of Clans)
com . supercell . brawlstars (Brawl Stars)
com . imangi . templerun2 (Temple Run 2)
com . ea . gp . fifamobile (FIFA Mobile)
com . epicgames . fortnite (Fortnite)
com . mojang . minecraftpe (Minecraft)
com . zynga . FarmVille3 (FarmVille3)
com . netflix . mediaclient (Netflix)
com . tinder (Tinder)
com . microsoft . office . outlook (Outlook)
com . discord (Discord)
It’s a hard jolt to know that our favourite apps can be incredibly dangerous if conditions meet.
For example, if you have been in your house, we can tie the location to you and follow you all along. It has been done with the leak.
Connecting random points is just as fruitful. Let’s say you are looking for someone who visited a supermarket, a phone store and a random house. You only find a weak link like who visited the house. Apply this to points who were tracked inside the white house and we know who they were and of course where they roam.
I liked the way Baptiste Robert analysed the data points, link in comment.