Detecting Phishing Using Deep Learning Networks

Proofpoint, Inc. Computer Science, 2017-18

Liaison(s): Thomas Lynam, Mike Morris ’97
Advisor(s): Zach Dodds
Students(s): Daniel Sonner (PM), Nic Trieu, Srinidhi Srinivasan, Amberlee Baugus, Montana Roberts

Proofpoint is a leader at identifying online threats. This project seeks to more accurately classify phishing webpages based on their look, i.e., their visual rendering within a browser. The team designed, piloted, and tested software tools to support this investigation, culminating in a machine-learning pipeline that estimates the probability that a page is phishing based on its screen capture.