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IndexedDB is a fast‐growing client‐side storage technology that is relatively new as a source for digital forensic investigations. This paper scrutinizes the artifacts created by Microsoft Teams in IndexedDB persistent storage. It is prevalently used by organizations and indicates a great potential to be a source of digital forensic investigations. Microsoft Teams is an application offered within the scope of Microsoft Office 365 that offers services for hosting virtual meetings, team communication, and comprehensive team resource management. As the way electronic communications are handled changes drastically, new applications and storage mechanisms are introduced. While the COVID‐19 virus remolded the routines of the establishments, remote collaboration and distant communication gained more popularity.


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The findings of this study showed a variety of artifacts in the internal memory unit utilized by the Android system for the WhatsApp application, which might aid digital forensic examiners in their examination of WhatsApp on the Android system without the need to root the device.
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As a result, various techniques, devices, and software may now be utilized for WhatsApp digital forensics. As a means of presenting and analyzing artifacts taken from the most recent version of WhatsApp to signs of fresh and important evidence and artifacts to assist investigators and forensic analysts in the investigation.
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This study describes how to recover the encryption key from WhatsApp to decrypt WhatsApp databases and retrieve important artifacts displayed and saved in the Android system without rooting the device. WhatsApp application is considered the largest messaging application around the world and an important source of information, they just incorporated a new technique that operates on end-to-end encryption, which presents a significant problem for forensic investigators and analysts. indicate that the evidence was obtained through backup without rooting the device, and it was stored in another storage unit, and the analysis was started by open-source forensic tools, and the results showed that part of the conversations was encrypted and there were challenges in showing the results. However, the records that are observed are valuable for forensic investigation, the indexed database for WhatsApp contains with it a set of important elements that can be used as evidence of a crime after it has been presented and analyzed in the style of the time frame, and the database in WhatsApp is a valuable source of information that is used for forensic investigations and therefore the database is very important to know and see what is inside and analyze it to reach important results that may be based on the case.
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indicates that the data stored in the memory includes lines with characters that cannot be read by humans because it contains binary data for the full object storage array of the origin inside the database. The results indicate that Instagram artifacts stored in IndexedDB technology can be utilized efficiently for forensic investigations, with a large variety of information ranging from fully constructed user data to time and location indicators. In the end, the efficacy of using these artifacts in forensic investigations is shown with a demonstration through a proof-of-concept tool. The artifacts obtained from Mozilla Firefox are crossed-checked with artifacts of Google Chrome for verification. A single case pretest–posttest quasi-experiment is designed and executed over Instagram web application to produce artifacts that are later extracted, processed, characterized, and presented in forms of information suited to forensic investigation. It focuses on artifacts from prevalently used social networking site Instagram on the Mozilla Firefox browser. This paper investigates the convenience and efficacy of performing forensic investigations with a time frame and social network connection analysis on IndexedDB technology. Consequently, forensic investigators are facing challenges to adapt to the emerging technologies to establish reliable techniques for extracting and analyzing suspect information. As the size and velocity of data increase, innovative technologies such as Web Storage and IndexedDB are emerging.

Everyday users are leaving a substantial amount of data as artifacts in these applications. Social media usage is increasing at a rapid rate.
