Inspiration
During our internships, there were many times when employees failed phishing tests or got compromised by phishing scams. Therefore, we wanted to create an application that can minimize the risk of scams and show stats for people to know what to look out for.
What it does
Our application is a Chrome extension that detects which emails are phishing emails within your inbox, highlights them, and generates a long-term statistics page of what type of phishing emails came in as well as the percentage of phishing emails caught.
How we built it
We built our extension using Node.js, Express, HTML, CSS, and JavaScript.
Challenges we ran into
Some of the challenges we ran into were formatting the stats page, finding the right type of API for Gmail, and the OpenAI API being slow.
Accomplishments that we're proud of
We are proud that we created this Chrome extension as we did not have much experience in API-related projects.
What we learned
We learned the use of API and AI through this hackathon.
What's next for Phish-Net
In the future, we would like to implement faster calls/results as well as the extension being able to auto-detect all the phishing emails without having to push a button, other than to see the stats page.
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