iSchool Capstone

Impostor Blocker

Project tags:

information assurance & cybersecurity

Project poster

96% of global cybercrime attacks can be attributed to ​phishing, ​yet there exists no viable solution to accurately fight phishing. These attacks cost the world $6 trillion annually, consequentially increasing brand erosion and reducing online channel adoption. We want to help enterprises counter phishing attacks to minimize financial losses and regain brand trust. Our solution is a detection algorithm that determines phishing activity. Through our unique use of ​computer vision​ to detect logos and related brand content, paired with HTML+URL classification, we provide clients with accurate and reliable detection scores. Doing so empowers them to secure their online presence.

Project participants:

Saurav Kharb

Informatics

Brian Kim

Informatics

Anushka Raheja

Informatics

Pranita Mantravadi

Informatics