Summarizing the main points of this presentation: - Analysis of real malicious campaigns on Twitter and methodology used - How these campaigns are related to Ads companies that take your digital fingerprint to cross-check your browsing with real world information. - How much money are these trackers making (and how profiling relates to governments). - A method using Machine Learning with real world data for detecting malicious (and hacked!) profiles with over a 90% success. - Reflections on how we can help in avoiding social networks to become next fraud ́s haven.