🐟 Automated Phishing Campaigns Using AI

Welcome to the Automated Phishing Campaigns Using AI project! This repository contains tools and scripts to automate phishing campaigns leveraging AI.

📂 Project Structure

├── __pycache__/
├── instance/
├── templates/
├── app.py
├── getphishinggmail.py
├── phishdet.py
├── phishdetect.modelfile
├── phishgen.modelfile
├── recipients.csv
├── recipients.txt
├── scrapy.py

📑 Files Description

• app.py: Main application script to run the automation.
• getphishinggmail.py: Script to generate phishing emails using AI.
• phishdet.py: Phishing detection script.
• phishdetect.modelfile: Model file for phishing detection.
• phishgen.modelfile: Model file for phishing email generation.
• recipients.csv: CSV file containing recipients' email addresses.
• recipients.txt: Text file containing additional recipients' email addresses.
• scrapy.py: Script for web scraping to gather data for phishing.

🚀 Getting Started

Prerequisites

• Python 3.6+
• Required Python packages (listed in requirements.txt)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/automated-phishing-campaigns.git
   cd automated-phishing-campaigns

2. Install the required packages:

   pip install -r requirements.txt

Usage

1. Prepare your recipients list in recipients.csv or recipients.txt.
2. Run the main application:

   python app.py

3. Use getphishinggmail.py to generate phishing emails:

   python getphishinggmail.py

4. Detect phishing emails with phishdet.py:

   python phishdet.py

🌟 Features

• Automated Phishing Email Generation: Leverage AI to create convincing phishing emails.
• Phishing Detection: Identify phishing emails using trained models.
• Recipient Management: Easily manage your target list with CSV and TXT files.
• Web Scraping: Gather data for creating realistic phishing scenarios.

⚠️ Disclaimer

This project is for educational and research purposes only. Misuse of this tool can lead to serious legal consequences. Use responsibly and only with explicit permission.

🤝 Contributing

Contributions are welcome! Please open an issue or submit a pull request for any improvements or new features. contributers :- khan Saad Maqsood Ahmed Mariyam Pankhania Sameer Mohammed Khan

contributers github id's

khan Saad Maqsood Ahmed Mariyam Pankhania Sameer Mohammed Khan

📜 License

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

📧 Contact

For any queries or support, please contact khansaad Mariyam Shaukat Pankhania .

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Thank you for checking out our project! We hope you find it useful for your research and educational purposes. 🚀