Monitoring of Wi-Fi and Bluetooth Traffic and Possible Attacks for Lawful Interception

Society has become increasingly interconnected during the last 30 years, since the birth of the World Wide Web in 1989. Along with it, wireless networks have become incredibly widespread all around the world, with billions of Wi-Fi or Bluetooth compatible devices that connect people with each other. The increasing diffusion of Internet of Things devices in the last decade has encouraged this phenomenon even more, at the point that, by now, we share many of our life details and activities online, for example our holiday photos or our evening running route on social networks. This also means that our actions may be remotely tracked by anyone who wants to, which opens new possibilities in lawful interceptions of suspects. This is the main subject of this thesis, that starts with an overview of common attacks mainly targeting wireless technologies such as Wi-Fi and presents a prototype that allows to perform such attacks through a user-friendly web application. Then, it focuses on the design and implementation of a new architecture for the prototype that aims at enhancing the existing solutions with a modular and extensible structure. The main work of this part is the realization of a Wi-Fi scan module that efficiently detects Access Points and clients in the surrounding area, with plenty of useful information extracted from the captured frames. This led to a positive outcome, since the Wi-Fi scan feature provided by the prototype gained several benefits with respect to the initial implementation, in terms of amount of retrieved information. The last part of the thesis has the goal to further expand the functionalities of the prototype by improving existing attacks and adding support for new ones.