Automated Malware Analysis Via Dynamic Sandboxes

The goal of this project is to develop an analysis framework enabled by dynamic sandboxes that allows for automated analysis, provides non-existing core capabilities to analyze industrial control system malware, and outputs to a format that is machine readable and an industry standard in sharing threat information. This will enable further analysis efforts via machine learning and provide a foundational platform that would allow for timely, automated analysis of malware samples.