Constant advancements in technology have a significant impact on our everyday lives and the ecosystem in which we live. The growing popularity of cryptocurrencies (e.g., Bitcoin and Ethereum), along with Non-Fungible Tokens (NFTs), which are founded on blockchain technology, has opened the way for these blockchain projects to be integrated into a wide range of other kinds of applications (apps). Today, cryptocurrencies are used as a popular method of payment online; however, their popularity on the dark Web is also increasing. For example, they can be used to buy and perform various illegal activities among criminals due to their anonymity. Web3 cryptocurrency wallets, used to store cryptocurrencies, have not been studied as thoroughly as many other apps from a digital forensic perspective on mobile devices, given the increasing number of these services and apps today for many platforms, including the leading mobile operating systems (i.e., iOS and Android). Therefore, the purpose of this research is to guide investigators to unlock the full potential of popular cryptocurrency Web3 wallets, Trust Wallet and Metamask, to understand what can be recovered, and to look at areas where there are knowledge gaps. We digitally analyzed and forensically examined two mobile wallets that do not require any personal identifiers to register and are widely used for Web3 cryptocurrencies on Android and iOS devices. We review the digital evidence we have collected and discuss the implications of the forensic tools we have used. Finally, we propose a proof of concept extension to the iOS Logs, Events, And Plists Parser (iLEAPP) tool to automatically recover artifacts.

Wearable devices are becoming increasingly popular, diverse, and accessible. To put it in perspective, in 2022 alone, more than 490 million wearable devices were sold. The diversity of wearables is beneficial to users but poses challenges for mobile forensic investigators. These devices track, utilize, and collect a wide range of user information, generating a wealth of data that can potentially be used or presented in court as evidence. To keep up with these innovations, mobile forensic investigators must continuously monitor and update their knowledge. In particular, smart rings are gaining popularity, with the Oura Ring Gen 3 being one of the most anticipated within the community. This study provides an initial look at the Oura Ring Generation 3 application, known as Oura, from a mobile forensic perspective. The artifacts presented in this article are derived from three different platforms: Android, iOS, and Cloud. The study reveals the exact paths of the data points and their locations. The data uncovered in this study could be significant for digital forensics investigators in various scenarios and inform users about the personal information that is stored. Information such as heart rate, various activities performed, user ID, and other user details could prove valuable in multiple instances.