# Detected: SQL Injection Testing Tool

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**Detected** is a powerful and user-friendly tool designed to detect SQL injection vulnerabilities in web applications. It supports both GET and POST requests, custom payloads, cookies for authenticated testing, and generates detailed JSON reports.

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## Features

- **SQL Injection Detection**: Tests input parameters for SQLi vulnerabilities.
- **GET and POST Support**: Allows testing of forms and URLs.
- **Custom Payloads**: Load payloads from a file or use the built-in library.
- **Cookie Management**: Test authenticated endpoints using cookies.
- **Detailed Reporting**: Generates a JSON report of detected vulnerabilities.
- **Multi-threading**: Tests multiple URLs and parameters simultaneously for improved efficiency.
- **Update Checker**: Notifies users of new versions.

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## Installation

### Prerequisites

- Python 3.7 or higher
- Python libraries: `requests`, `colorama`, `tqdm`, `bs4`

### Installation Steps

1. Clone the repository:
   ```bash
   git clone https://github.com/HackfutSec/Detected.git
   cd Detected

2. Install dependencies:

   pip install -r requirements.txt

3. Run the tool:

   python detected.py

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Usage

Testing a Single URL

1. Run the tool:

   python detected.py

2. Choose option 1 to test a single URL.

3. Enter the URL, the parameter to test, and choose the method (GET or POST).

4. Use default payloads or load a custom payload file.

5. If needed, provide a cookie file for authenticated testing.

Testing a File of URLs

1. Run the tool:

   python detected.py

2. Choose option 2 to test a file of URLs.

3. Enter the path to the file containing URLs, the parameter to test, and choose the method (GET or POST).

4. Use default payloads or load a custom payload file.

5. If needed, provide a cookie file for authenticated testing.

Reports

Detected vulnerabilities are logged in vulnerable_urls.txt. A detailed report is generated in report.json.

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Examples

Testing a URL with Default Payloads

python detected.py
1
http://example.com/page?id=1
id
1
1
n

Testing a File of URLs with Cookies

python detected.py
2
urls.txt
id
1
1
y
cookies.json

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Project Structure

Detected/
├── detected.py            # Main script
├── requirements.txt       # Python dependencies
├── payloads.txt           # Example payload file
├── cookies.json           # Example cookie file
├── report.json            # Generated report
├── vulnerable_urls.txt    # Detected vulnerable URLs
└── README.md              # Documentation

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Contributing

Contributions are welcome! To contribute:

1. Fork the repository.
2. Create a branch for your feature (git checkout -b feature/AmazingFeature).
3. Commit your changes (git commit -m 'Add some AmazingFeature').
4. Push the branch (git push origin feature/AmazingFeature).
5. Open a Pull Request.

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License

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

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Authors

• HackfutSec - Lead developer
• Contributors - See the list of contributors.

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Acknowledgments

• Thanks to the open-source community for the libraries used in this project.
• Inspired by popular security tools like SQLmap.

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Support

For questions or issues, open an issue on GitHub.

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### Key Points of the README:
1. **Title and Badges**: Shows the project status (version, license, issues, etc.).
2. **Description**: Briefly explains what the tool is and its main features.
3. **Installation**: Provides clear instructions for installing and setting up the tool.
4. **Usage**: Offers practical examples for testing URLs and files.
5. **Project Structure**: Describes the organization of files in the repository.
6. **Contributing**: Encourages contributions and explains how to contribute.
7. **License**: Specifies the project license.
8. **Authors and Acknowledgments**: Recognizes contributors and inspirations.
9. **Support**: Indicates how to get help.