🚀 Domain Analysis Toolkit

Overview

This powerful Python script empowers you to comprehensively analyze a list of subdomains, providing invaluable insights into their HTTP status codes, CDN presence, and inactive status. Leveraging renowned tools like httpx and cdncheck, this script ensures a thorough examination of your subdomain ecosystem.

Features

1. HTTP Status Code Check 🌐

   • Utilizes httpx to swiftly check the HTTP status codes for each subdomain.
   • Saves the detailed results to a file for reference (httpx_results.txt).

2. Subdomain Filtering 🧹

   • Cleanses subdomains by removing trailing dots.
   • Filters out unnecessary prefixes like "https://" and "http."
   • Outputs a pristine list of subdomains to a dedicated file (filtered_subdomains.txt).

3. CDN Check 🚀

   • Harnesses the power of cdncheck to identify Content Delivery Networks associated with each subdomain.
   • Archives CDN check results for further analysis (cdncheck_results.txt).

4. Merging Subdomains 🤝

   • Seamlessly combines subdomains with their corresponding HTTP status codes and CDN information.
   • Creates a consolidated report, saving it to a user-friendly file (output.txt).

5. Finding Inactive Subdomains 🕵️‍♂️

   • Compares the original subdomain list with httpx results to pinpoint inactive subdomains.
   • Outputs a dedicated file highlighting inactive subdomains (inactive_subdomains.txt).

Usage

1. Prepare Your List

   • Place your list of subdomains in a file named input_file.txt.

2. Execute the Script

   • Run the domain_analysis.py script.

Requirements

• Python 3.x
• Dependencies: httpx (Install using: pip install httpx), cdncheck (Install using: pip install cdncheck)

File Descriptions

• input_file.txt: Your source file containing the list of subdomains.
• httpx_results.txt: Archive of HTTP status code results.
• filtered_subdomains.txt: Refined list of subdomains after filtering.
• cdncheck_results.txt: Compilation of CDN check results.
• output.txt: Merged report with subdomains, status codes, and CDN information.
• inactive_subdomains.txt: List of identified inactive subdomains.

Experience a seamless and insightful subdomain analysis with this toolkit. Happy exploring! 🚀🔍