A Decision-Support Tool for Experimentation on Zero-Hour Phishing Detection

In Foundations and Practice of Security (FPS 2022), 2022

Abstract

New, sophisticated phishing campaigns victimize targets in few hours from attack delivery. Some methods, such as visual similarity-based techniques, can spot these zero-hour attacks, at the cost of additional user intervention. However, more research is needed to investigate the trade-off between automatic detection and user intervention. To enable this line of research, we present a phishing detection tool that can be used to instrument scientific research in this direction. The tool can be used for experimentation on assisting user decision-making, evaluating user trust in detection, and keeping track of users' previous 'bad' decisions.