Predictive Model for Exploit Kit based Attacks
Slim Trabelsi, Skander Ben Mahmoud, Anis Zouaoui · 2016
Exploit kits are becoming frequently used to generate attacks against systems and software components. These exploit kits are really popular among the non-expert community (script kiddies) and are publicly available on Social Medias. In this paper we demonstrate how this popularity of such exploit kits on social media can impact the severity of the attacks generated from these tools. We propose we propose a new predictive model to estimate in advance the possible attacks that could be generated from trendy kits.