Forensics Analysis of Wish-Shopping Made Fun Application on Android

Nowadays in the digital world, the Internet has become the desired medium to perform actions in daily lives. Shopping over the internet has made lives easier and comfortable. Internet users' attitudes towards online shopping are not entirely consistent. They wanted to utilize the plastic money to shop online simultaneously they feel themselves at risk to share their credit card information. As the popularity increases so do the trend to shop online increases. While using mobile devices there might be some residual data left behind in those devices. In the e-commerce domain, it is being difficult for the forensics analyst to identify sensitive information and observe the user's behavior. In this paper, we have identified and evaluate the forensically sound remnants left in a mobile device with an experimental analysis of wish application. The location containers found during the analysis will be useful for investigators to build case scenarios. With exhaustive research of wish architecture, we have summarized the artifacts in tabular form. It is composed of an artifact's location and identification type of those remnants.