NucleiFuzzer

NucleiFuzzer is an advanced automation tool designed to streamline and optimize web application security testing by integrating a suite of powerful URL discovery and vulnerability scanning tools. It combines ParamSpider, Waybackurls, Katana, Gauplus, and Hakrawler to comprehensively gather and enumerate potential entry points for web applications. Leveraging the power of Nuclei, it scans these endpoints using fuzzing-templates to effectively uncover a wide range of vulnerabilities.

The enhanced NucleiFuzzer is built for speed and accuracy, utilizing advanced URL validation, deduplication with uro, and precise HTTP filtering using httpx. This tool provides security professionals, bug bounty hunters, and web developers with a seamless workflow to detect and address security risks, ensuring robust web application protection.

1. Comprehensive URL Discovery: Integrates multiple tools (ParamSpider, Waybackurls, Katana, Gauplus, and Hakrawler) to ensure exhaustive coverage of URLs and parameters.
2. Enhanced Vulnerability Scanning: Uses Nuclei with fuzzing-templates to identify critical security issues with precision.
3. Advanced Filtering and Validation: Removes duplicates and irrelevant results using uro and httpx for cleaner and more focused scanning.
4. Rate Limiting for Efficiency: Allows customizable request rates for optimal performance during scans.
5. Customizable and User-Friendly: Easy-to-configure options for domains, files, and output directories, catering to both individual and batch scans.

Take advantage of NucleiFuzzer to safeguard your web applications against vulnerabilities and attacks with an enhanced, efficient, and reliable security testing solution!

Note: Nuclei + Paramspider + waybackurls + gauplus + hakrawler + katana + Fuzzing Templates = NucleiFuzzer

Important: Make sure the tools Nuclei, Paramspider, waybackurls, gauplus, hakrawler, katana, httpx & uro are installed on your machine and executing correctly to use the NucleiFuzzer without any issues.

• 🔍 Automated Recon + Crawling
• ⚡ Nuclei Vulnerability Scanning
• 📊 JSON + HTML Reporting
• 🧠 AI Vulnerability Analysis (NEW)
• 📁 Clean Output & Severity Grouping

• Nuclei git clone https://github.com/projectdiscovery/nuclei.git
  
• ParamSpider git clone https://github.com/0xKayala/ParamSpider.git
  
• waybackurls git clone https://github.com/tomnomnom/waybackurls.git
  
• gauplus git clone https://github.com/bp0lr/gauplus.git
  
• hakrawler git clone https://github.com/hakluke/hakrawler.git
  
• katana git clone https://github.com/projectdiscovery/katana.git
  
• httpx git clone https://github.com/projectdiscovery/httpx.git
  
• uro https://github.com/s0md3v/uro.git
  

Fuzzing Templates git clone https://github.com/projectdiscovery/nuclei-templates.git

nf -h

This will display help for the tool. Here are the options it supports.

NucleiFuzzer: A Powerful Automation Tool for Web Vulnerability Scanning

Usage: /usr/bin/nf [options]

Options:
  -h, --help              Display help information
  -d, --domain <domain>   Single domain to scan for vulnerabilities
  -f, --file <filename>   File containing multiple domains/URLs to scan
  -o, --output <folder>   Specify output folder for scan results (default: ./output)

To install NucleiFuzzer, follow these steps:

git clone https://github.com/0xKayala/NucleiFuzzer.git && cd NucleiFuzzer && sudo chmod +x install.sh && ./install.sh && (command -v nf &> /dev/null && nf -h || echo "Installation failed: Command 'nf' not found. Please check for errors during installation.") && cd .. || echo "Failed to clone or navigate to NucleiFuzzer repository. Please check your setup."

Here are a few examples of how to use NucleiFuzzer:

• Run NucleiFuzzer on a single domain:

  nf -d example.com

• Run NucleiFuzzer on multiple domains from a file:

  nf -f file.txt

For a Practical Demonstration of the NucleiFuzzer tool see the below video 👇

Contributions are welcome! If you'd like to contribute to NucleiFuzzer, please follow these steps:

1. Fork the repository.
2. Create a new branch.
3. Make your changes and commit them.
4. Submit a pull request.

Made by Satya Prakash | 0xKayala \

A Security Researcher and Bug Hunter \