Discover ‘httpAlive,’ a powerful URL analysis tool designed for web application penetration testing.

With features like user-agent rotation, multithreading, and colorized output, this versatile tool efficiently probes for alive subdomains and URLs. In this article, we’ll explore its capabilities, installation, and usage, empowering you with a valuable asset for enhancing your web application security assessments.


  • The “httpAlive” tool is designed to efficiently probe for alive subdomains and URLs from a provided list.
  • It includes features such as user-agent rotation, colorized output, multithreading, and a command-line interface (CLI) for ease of use.
  • Works in all platforms.


  1. User-Agent Rotation:
    • Randomly selects a user agent from a predefined list for each HTTP request to avoid detection.
  2. Colorized Output:
    • Utilizes the colorama library to provide colorized and visually appealing output.
  3. Multithreading:
    • Implements multithreading using Python’s concurrent.futures module for concurrent execution of HTTP requests.
  4. HTTP Client:
    • Utilizes the httpx library as the HTTP client with SSL certificate verification disabled.
  5. Command-Line Interface (CLI):
    • Accepts command-line arguments through the argparse module for easy configuration.
  6. Output File:
    • Saves results to an output file specified by the user (default: “httpAlive_output.txt”).
  7. Banner Display:
    • Displays a colorful banner at the beginning with information about the tool, author, and GitHub profile.
  8. Exception Handling:
    • Includes exception handling to gracefully handle interruptions, such as KeyboardInterrupt.


  • Clone the repository to your local machine.

Method 1

git clone

cd httpAlive

pip install -r requirements.txt

Method 2

git clone

cd httpAlive

pip install .

httpAlive help:

        Author   : Aashish
        Github   :
        httpAlive is a tool designed to efficiently probe for alive subdomains and Urls from a provided list.

usage: [-h] -l list [-o output] [-c CONCURRENCY] [-t THREADS]


  -h, --help            show this help message and exit.

  -l list, --DomainList list
                        [INFO]: List of Subdomains or URLs.

  -o output, --output output
                        [INFO]: File to save our output.

                        [INFO]: Concurrency level to make fast process.

  -t THREADS, --threads THREADS
                        [INFO]: Threading level to make fast process.


  • Create a file containing that contains list of URLs or subdoamins or both and give to httpAlive. The output contains status codes and content length.
  • This python code will save the results of the analysis to a file named ‘output.txt’.
  • Run the script with urls or subdomain list.


  • Do not give more threads. It might cause Race Condition

Method 1

python ./httpAlive/httpAlive -l subdomainList.txt

Method 2

httpAlive -l subdomainList.txt