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Malware Detection Tool

This is a lightweight, URL-based malware detection tool built using Streamlit. It allows users to input URLs and to check if the URL are malicious, providing instant feedback in a simple, minimalistic user interface.

Features

• URL Validation: Ensures the input URL is valid before checking.
• Loading Animation: Displays a loading indicator while the URL is being processed.
• Real-Time Check: URL analysis is triggered when pressing Enter
• Malware Detection: Uses a trained Reccurent Neural Network(RNN) model to classify URLs as malicious or safe.
• Minimalist UI: Designed with a simple interface for better user experience.
• Efficacy: Has an Accurracy of 92.84%

Getting Started

You can view and use the app from the live link

##To use the app locally , follow this guide

Prerequisites

Before running the app, make sure you have the following installed:

• Python 3.8+
• Streamlit
• Pytorch
• Scikit-learn
• Pandas

You can install the required Python packages with:

pip install -r requirements.txt

Installation

1. Clone the repository:

   git clone https://github.com/xcalibur5678/URL-checker.git
   cd URL-checker

2. Install dependencies:

   pip install -r requirements.txt

Running the App

To start the app, use the following command:

streamlit run inference.py

This will open the application in your browser at http://localhost:8501.

Usage

1. Enter the URL you'd like to check in the input field.
2. Press Enter, and the tool will validate the URL format and display if it's malicious or safe.
3. If the URL is invalid, an error message will guide you to correct it.

Example

Here's an example of how the app works:

1. Input: http://example.com
2. Result: The URL is safe.

Validation

• The URL validation ensures that the user enters a valid URL format (must start with http:// or https://).
• If an invalid URL is entered, an error message will be displayed, prompting the user to correct the input.

Contributing

Feel free to contribute to the project by submitting a pull request! Any suggestions to improve the functionality or UI are welcome.

License

This project is licensed under the MIT License. See the LICENSE file for details.

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