Projects / Computer Science / Computer Science project 23

Phishing URL Detector as a Browser Extension

Approx. component budget: Rs. 0 - 1,000

Objective

Detect suspicious links using URL features and a trained model, without sending the user's browsing data to anyone.

What you will build

A Chrome or Firefox extension that checks the page address and warns the user when the link looks like phishing.

Results you can expect

• Detection rate and false alarm rate on a labelled URL dataset
• Response time per page
• Warning behaviour on 50 live safe and 20 known phishing test pages
• And model size inside the extension

What you will learn

URL feature engineering, packaging a model for the browser, browser extension APIs, and privacy by design.

Tools and notes

Python, scikit-learn, JavaScript, ONNX or TensorFlow.js, public phishing datasets such as PhishTank. Test only on safe or listed sample links.

Resume points from this project

• Built and tested Phishing URL Detector as a Browser Extension; objective: detect suspicious links using URL features and a trained model, without sending the user's browsing data to anyone.
• Measured and analysed detection rate and false alarm rate on a labelled URL dataset and response time per page; wrote the report and presented the results in a viva. Add your own numbers: [x].

Replace [x] with your own measured results. Write only what you really did.

More computer science projects

Back to all projects