👻 GhostPeek

GhostPeek is a stealthy domain reconnaissance tool that silently collects intelligence on web domains. Like a ghost, it reveals hidden digital footprints without drawing attention.

What is GhostPeek and it's Features?

GhostPeek is a Python tool I made to learn more about web domains. Give it a domain name, and it will quietly gather all sorts of interesting information:

• 🔍 Subdomain Discovery - Finds subdomains you didn't know existed
• ℹ️ WHOIS Intelligence - Shows domain ownership and registration details
• 🌐 DNS Mapping - Maps out all DNS records (A, NS, MX, CNAME, etc.)
• 🖥️ IP Resolution - Discovers IP addresses and ASN information
• 🔧 Technology Detection - Identifies web technologies and frameworks
• 📸 Visual Screenshots - Captures website screenshots automatically
• 📊 HTML Reports - Generates comprehensive, browsable reports
• ⚡ Multi-threading - Fast concurrent scanning
• 🎨 Rich Terminal UI - Beautiful command-line interface

Why I Made This

I created GhostPeek as a personal project to learn more about how websites are structured and to practice my Python skills. It combines a bunch of different tools into one simple command, saving you time when you want to check out a website's technical details. Make sure to retry again in few mins if it catches 0 subdomains.

🚀 Quick Start

Installation

pip install ghostpeek

One-Line Installation

# User installation
curl -sSL https://raw.githubusercontent.com/kaizoku73/Ghostpeek/main/install.sh | bash

# System-wide installation (requires sudo)
curl -sSL https://raw.githubusercontent.com/kaizoku73/Ghostpeek/main/install.sh | sudo bash

# After installation, simply run:
ghostpeek -d example.com

Manual Installation

# Clone the repo
git clone https://github.com/kaizoku73/Ghostpeek.git
cd ghostpeek

# Install requirements
pip install -r requirements.txt

Requirements

• Python 3.6+
• requests
• dnspython
• python-whois
• rich
• selenium
• python-Wappalyzer
• setuptools

Basic Usage

# Scan a domain
python ghostpeek.py -d example.com

# Interactive mode
python ghostpeek.py

# Custom output directory
python ghostpeek.py -d example.com -o /path/to/output

# Adjust threading
python ghostpeek.py -d example.com -t 20

# Disable threading for sequential processing
python ghostpeek.py -d example.com --no-threading

Options

-d, --domain    Target domain to investigate
-o, --output    Custom output directory (optional)
-t, --threads   Number of threads to use (default: 10)
--no-threading  Disable threading for sequential processing

Example Output

When you run GhostPeek, you'll see a beautiful ASCII banner followed by real-time scanning progress:

▄████ ██░ ██ ▒█████ ██████ ▄▄▄█████▓ ██▓███ ▓█████ ▓█████ ██ ▄█▀
██▒ ▀█▒▓██░ ██▒▒██▒ ██▒▒██ ▒ ▓ ██▒ ▓▒▓██░ ██▒▓█ ▀ ▓█ ▀ ██▄█▒
...

Give your desire domain: example.com
Your secrets will be stored in: recon_example.com_20250825_143022

✓ Revealing WHOIS secrets for example.com
✓ Hunting for subdomains of example.com
✓ Found 15 unique domains
✓ Unmasking domains and resolving IPs
✓ Decoding DNS secrets
✓ Identifying technology fingerprints
✓ Capturing visual evidence

Mission accomplished! 🎉
Your intelligence report awaits: recon_example.com_20250825_143022/report.html

The HTML Report

After GhostPeek finishes, it will automatically open an HTML report in your browser with tabs for:

• 📊 Overview - Summary of findings and key metrics
• ℹ️ WHOIS Details - Domain registration and ownership info
• 🔍 Subdomains - Complete list of discovered subdomains
• 🌐 DNS Records - Detailed DNS information for each domain
• 🔧 Technologies - Identified web technologies and frameworks
• 📸 Screenshots - Visual captures of all accessible websites

Disclaimer

This tool is designed for educational purposes and authorized security testing only.

• Only scan domains you own or have explicit permission to test
• Respect robots.txt and website terms of service
• Be mindful of rate limiting to avoid overwhelming target servers
• Use responsibly and ethically

License

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

🔗 Connect

• Author: kaizoku73
• GitHub: @kaizoku73