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

Details

Serval ID
serval:BIB_BBE7A739FC70
Type
Article: article from journal or magazin.
Collection
Publications
Title
WhatsApp network forensics: Decrypting and understanding the WhatsApp call signaling messages
Journal
Digital Investigation
Author(s)
Karpisek F., Baggili I., Breitinger F.
ISSN
1742-2876
Publication state
Published
Issued date
12/2015
Volume
15
Pages
110-118
Language
english
Abstract
Abstract 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.
Keywords
Audio encoding
Web of science
Create date
06/05/2021 11:01
Last modification date
06/05/2021 11:40
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