A study of clickjacking worm propagation in online social networks
Mohammad Reza Faghani, Uyen Trang Nguyen · 2014
Clickjacking worms exploit online social network features such as Like and Share to propagate themselves in these networks. They trick a user into clicking on something different from what the user intends to click on. We discuss an implementation of such clickjacking malware and the way it propagates in a social network. We present simulation results that characterize the propagation of clickjacking malware in social networks. In particular, user habits of following posted links and the highly clustered structure of online social networks have significant impacts on the propagation speed of clickjacking malware.