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ML Framework for Web Threat Analysis

A Structured Framework for Classifying Malicious Web Content for Data-Collection Security

Instructions:

Load the dataset into dir/dataset, with one folder named benign and the other malicious. The dataset used for our model was sourced from Kaggle.

Run train.py.

Convert the trained model to JSON for extension use.

Move model.json to extension/model.

Load the extension into Firefox.

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A Structured Framework for Classifying Malicious Web Content for Data Collection Security

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