{"id":20738674,"url":"https://github.com/0memo07/url-seeker","last_synced_at":"2026-03-11T18:33:30.040Z","repository":{"id":210977884,"uuid":"727894739","full_name":"0MeMo07/URL-Seeker","owner":"0MeMo07","description":"The URL Seeker, an advanced dorking tool for discovering URLs associated with a target domain, also includes SQL injection scanning capabilities. 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This allows users to identify potential vulnerabilities, providing a comprehensive security assessment beyond traditional URL discovery.\n\n![Url_SeekerB](https://github.com/0MeMo07/URL-Seeker/assets/103096364/51af6ded-e410-4d50-9b57-89bc6551eb7e)\n\n## Table of Contents\n\n- [Introduction](#introduction)\n- [Features](#features)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Options](#options)\n- [Output](#output)\n- [Contributing](#contributing)\n- [License](#license)\n- [Disclaimer](#disclaimer)\n\n## Introduction\n\nURL Seeker is a Python-based tool designed to simplify the process of discovering URLs associated with a target domain. It leverages enhanced dorking techniques and supports multithreading for faster results.\n\n## Features\n\n- Enhanced dorking with random selection of dorks.\n- Output options to save sorted and unsorted URLs to a file.\n- User-friendly command-line interface.\n\n## Installation\n\n1. Clone the repository:\n\n    ```bash\n    git clone https://github.com/0MeMo07/URL-Seeker.git\n    ```\n\n2. Change into the project directory:\n\n    ```bash\n    cd URL-Seeker\n    ```\n\n3. Install the required dependencies:\n\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n## Usage\n\nTo use URL Seeker, run the following command:\n\n```bash\npython url_seeker.py\n```\n## Follow the On-Screen Prompts\n\nFollow the on-screen prompts to configure the scan parameters and initiate the scan.\n\n## Options\n\nURL Seeker uses `argparse` for command-line argument parsing. Here are the available options:\n\n- `--sites`: Target Domain (e.g., .com, .org, .net)\n- `--dorks`: Number of Dorks (0 for all, default: 0)\n- `--threads`: Number of Threads (recommended range: 50-500)\n- `--pages`: Pages per Dork (between 25 and 100 at 25 increments)\n- `--rdork`: 'Y' if you want the dorks to be randomly selected, 'N' if not\n- `--S`: URL or .txt file\n- `--O`: Automatically perform SQL injection scanning\n\n**Example usage:**\n\n### Dork Search\n```bash\npython url_seeker.py --sites .com --dorks 10 --threads 50 --pages 50 --rdork Y\n```\n### for sql injection scanning automatically after the dork scan is finished --O\n\n```bash\npython url_seeker.py --sites .com --dorks 10 --threads 50 --pages 50 --rdork Y --O\n```\nor\n\n```bash\npython url_seeker.py --O\n```\n### Sql injection scan\nIf you enter --S url or .txt it scans for sql injection\n\n```bash\npython url_seeker.py --S url or .txt\n```\n## if you want to run it with input:\n\n```bash\npython url_seeker.py\n```\n## Output\n\nAfter the scan, you can choose from the following output options:\n\n1. Save current sorted URLs to a file.\n2. Save current unsorted URLs to a file.\n3. Print all unsorted URLs.\n4. Print all sorted URLs.\n5. SQL injection scanning sorted URLs.\n6. SQL injection scanning unsorted URLs.\n\nChoose an option by entering the corresponding number.\n\n## Contributing\n\nContributions are welcome! If you have any ideas, enhancements, or bug fixes, please submit a pull request.\n\n## License\n\nThis project is licensed under the MIT License.\n\n## Disclaimer\n\nUse this tool responsibly and in compliance with applicable laws. The author is not responsible for any misuse or damage caused by this tool.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F0memo07%2Furl-seeker","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F0memo07%2Furl-seeker","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F0memo07%2Furl-seeker/lists"}