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Code on phishing-site detection using Machine-Learning.

Functionality of Code {<>}

This code takes following as a input.

• URL from the address bar.
• Screen-shot of the current page.

Using these as inputs for the code the network test the data if the given URL is Legitimate or not.

About Code {<>}

This code is written with following language.

• UI designs are done using HTML,CSS and JS with the combination of Django framework.
• Training and testing of data are done using Python.

File Details {<>}

Following are the details about the file inside phishApp/PhishingSiteDetection

File Name	Description
site_list.txt	These are the site details which you will be training the network for testing or for datasets
openBrowser.py	Code to open the sites listed inside site_list.txt to take screen shot of it and store it as a dataset
save_model.py	Code that is used to train the model (Updated the path based on your system)
screenshot.py	Used to take the screen shot of the browser page
load_models.py	Used to test the sample model

Note {<>}

Explore other files in phishingUrlDetectionUsingML

Run code {<>}

Run

python3 manage.py runserver

Note {<>}

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