In this project, the goals were to aggregate DNS-level data, apply machine learning approaches to identify command and control (C&C) botnets through automated analysis of live traffic patterns, and construct a website for dynamic visualization of threats. Visualizations help the user pinpoint where botnet attacks are coming from, identify geographic hotspots for botnet activity, and find out who is at risk for infection.