In today’s world, video conferencing software has become a key instrument in the workplace and day-to-day life. Due to the ongoing Covid-19 pandemic, Zoom has seen an astounding growth of 2900% in daily users since December 31, 2019, with more than 300 million daily meeting participants. However, there are still no good free and open-source tools to collect and analyze artifacts created by Zoom. This project aims to develop a tool to examine the Zoom artifacts that remain on the host system after usage. In this project, I build the “Zoom Scraper” tool which can collect user data, recordings, chat time, and configurations automatically and help forensic investigators.
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To extract the data
python app.py -
To browse the data
python zoom.py
