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https://github.com/0memo07/url-seeker
The URL Seeker, an advanced dorking tool for discovering URLs associated with a target domain, also includes SQL injection scanning capabilities. This allows users to identify potential vulnerabilities, providing a comprehensive security assessment beyond traditional URL discovery.
https://github.com/0memo07/url-seeker
dork dork-scanner dorking dorking-target dorking-tool dorks sql-attack sql-injection url-searcher url-seeker
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The URL Seeker, an advanced dorking tool for discovering URLs associated with a target domain, also includes SQL injection scanning capabilities. This allows users to identify potential vulnerabilities, providing a comprehensive security assessment beyond traditional URL discovery.
- Host: GitHub
- URL: https://github.com/0memo07/url-seeker
- Owner: 0MeMo07
- License: mit
- Created: 2023-12-05T19:50:41.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2023-12-15T15:16:07.000Z (11 months ago)
- Last Synced: 2023-12-15T16:34:02.465Z (11 months ago)
- Topics: dork, dork-scanner, dorking, dorking-target, dorking-tool, dorks, sql-attack, sql-injection, url-searcher, url-seeker
- Language: Python
- Homepage:
- Size: 133 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# URL Seeker
The URL Seeker, an advanced dorking tool for discovering URLs associated with a target domain, also includes SQL injection scanning capabilities. This allows users to identify potential vulnerabilities, providing a comprehensive security assessment beyond traditional URL discovery.
## Table of Contents
- [Introduction](#introduction)
- [Features](#features)
- [Installation](#installation)
- [Usage](#usage)
- [Options](#options)
- [Output](#output)
- [Contributing](#contributing)
- [License](#license)
- [Disclaimer](#disclaimer)
## Introduction
URL 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.
## Features
- Enhanced dorking with random selection of dorks.
- Output options to save sorted and unsorted URLs to a file.
- User-friendly command-line interface.
## Installation
1. Clone the repository:
```bash
git clone https://github.com/0MeMo07/URL-Seeker.git
```
2. Change into the project directory:
```bash
cd URL-Seeker
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
## Usage
To use URL Seeker, run the following command:
```bash
python url_seeker.py
```
## Follow the On-Screen Prompts
Follow the on-screen prompts to configure the scan parameters and initiate the scan.
## Options
URL Seeker uses `argparse` for command-line argument parsing. Here are the available options:
- `--sites`: Target Domain (e.g., .com, .org, .net)
- `--dorks`: Number of Dorks (0 for all, default: 0)
- `--threads`: Number of Threads (recommended range: 50-500)
- `--pages`: Pages per Dork (between 25 and 100 at 25 increments)
- `--rdork`: 'Y' if you want the dorks to be randomly selected, 'N' if not
- `--S`: URL or .txt file
- `--O`: Automatically perform SQL injection scanning
**Example usage:**
### Dork Search
```bash
python url_seeker.py --sites .com --dorks 10 --threads 50 --pages 50 --rdork Y
```
### for sql injection scanning automatically after the dork scan is finished --O
```bash
python url_seeker.py --sites .com --dorks 10 --threads 50 --pages 50 --rdork Y --O
```
or
```bash
python url_seeker.py --O
```
### Sql injection scan
If you enter --S url or .txt it scans for sql injection
```bash
python url_seeker.py --S url or .txt
```
## if you want to run it with input:
```bash
python url_seeker.py
```
## Output
After the scan, you can choose from the following output options:
1. Save current sorted URLs to a file.
2. Save current unsorted URLs to a file.
3. Print all unsorted URLs.
4. Print all sorted URLs.
5. SQL injection scanning sorted URLs.
6. SQL injection scanning unsorted URLs.
Choose an option by entering the corresponding number.
## Contributing
Contributions are welcome! If you have any ideas, enhancements, or bug fixes, please submit a pull request.
## License
This project is licensed under the MIT License.
## Disclaimer
Use this tool responsibly and in compliance with applicable laws. The author is not responsible for any misuse or damage caused by this tool.