Cyber forensics, Computer forensics, Mobile device forensics
Computer Engineering | Computer Sciences | Electrical and Computer Engineering | Forensic Science and Technology
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.
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Karpisek, Filip; Baggili, Ibrahim; and Breitinger, Frank, "WhatsApp Network Forensics: Decrypting and Understanding the WhatsApp Call Signaling Messages" (2015). Electrical & Computer Engineering and Computer Science Faculty Publications. 49.
F. Karpisek, I. Baggili, F. Breitinger, WhatsApp network forensics: Decrypting and understanding the WhatsApp call signaling messages, Digital Investigation, Available online 10 October 2015, ISSN 1742-2876, http://dx.doi.org/10.1016/j.diin.2015.09.002.