Sharkcop - A machine learning tool to detech phishing URLs

Sharkcop has 2 main parts:

1. Sharkcop-server: A flask webserver which provide a restful api to fetch an url's information
2. Sharkcop-extension: A Chrome extension which interact with sharkcop-server to detech phishing URLs on Facebook and Messenger

Getting Started

These instructions will get you a copy of the project up and running on your local machine.

Prerequisites

Python 3 >

Installing

Clone the repository

git clone https://github.com/CaoHoangTung/sharkcop

1. Install sharkcop-server on your local machine

At the project root directory, run

cd sharkcop-server

Install the required packages

pip3 install –r requirements.txt

python3 app.py

The server will be up at 127.0.0.1:8080. The RESTful API endpoint would be in this format:

http://127.0.0.1:8080/api/check?url=https://abc.xyz

You can test the api through a web interface at http://127.0.0.1:8080

There are 3 statuses that could be returned:

• 1 : The url is phishing
• -1 : The url is normal
• 2 : Cannot fetch the url's information (May be dued to refusal of connection or server error)

2. Setup sharkcop-extension (for Chrome)

• Open Chrome Extension Manager (chrome://extensions/)
• Enable Developer Mode
• Click 'Load unpacked' and select the directory 'sharkcop-extension' inside our project root directory
• Try it on facebook. The extension will highligh phishing URLs

Built With

• Python
• Javascript

Techniques

• We use Machine Learning to detect Phishing Website, specifically SVM (Support Vector Machine) which is a discriminative classifier formally defined by a separating hyperplane. In other words, given labeled training data, the algorithm outputs an optimal hyperplane which categorizes new examples.

Authors

• proxyht - caohoangtung2001@gmail.com
• ngocanhnckh - ngocanhnckh@gmail.com
• aidenpearce - aidenpearcewd01@gmail.com

Notes

• The project is still under construction and requires a lot of optimization.
• Any suggestions or help would be very appreciated