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WhatsApp network forensics: Decrypting and understanding the WhatsApp call signaling messages

2015; Elsevier BV; Volume: 15; Linguagem: Inglês

10.1016/j.diin.2015.09.002

1873-202X

Filip Karpíšek, Ibrahim Baggili, Frank Breitinger,

Internet Traffic Analysis and Secure E-voting

WhatsApp is a widely adopted mobile messaging application with over 800 million users. Recently, a calling feature was added to the application and no comprehensive digital forensic analysis has been performed with regards to this feature at the time of writing this paper. In this work, we describe how we were able to decrypt the network traffic and obtain forensic artifacts that relate to this new calling feature which included the: a) WhatsApp phone numbers, b) WhatsApp server IPs, c) WhatsApp audio codec (Opus), d) WhatsApp call duration, and e) WhatsApp's call termination. We explain the methods and tools used to decrypt the traffic as well as thoroughly elaborate on our findings with respect to the WhatsApp signaling messages. Furthermore, we also provide the community with a tool that helps in the visualization of the WhatsApp protocol messages.