Impostor Blocker
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 sponsored by: N/A
Project participants:
Saurav Kharb
Informatics
Brian Kim
Informatics
Anushka Raheja
Informatics
Pranita Mantravadi
Informatics