PoC for the CVE-2023-49103
This Python script is designed to efficiently process a large list of URLs to check for the presence of phpinfo() output. It uses multi-threading to handle a large number of URLs concurrently, significantly speeding up the process. The script also features a real-time progress bar to visually track the progress.
requestsurllib3coloramaalive-progressconcurrent.futures (part of the standard library in Python 3) pip install requests urllib3 colorama alive-progressTo use the script, you need a text file containing a list of URLs to check. Each URL should be on a new line.
Prepare your URL list: Create a text file (e.g., urls.txt) with each URL on a new line.
Run the script: Use the script with the following command, replacing input_file.txt with your file of URLs and output_file.txt with the desired output file name:
python exploit.py -t input_file.txt -o output_file.txtView Results: The script will process each URL and output the results to the specified output file. URLs with valid phpinfo() output are logged in this file.
Contributions Feel free to fork this repository or submit pull requests with improvements.
Introduction Bash scripting is a powerful way to automate Linux tasks, but writing a script…
Introduction A self-signed SSL certificate is a certificate that is created and signed by the…
Introduction Debugging is an important part of Bash scripting. When a script does not work…
Introduction Cron jobs are used in Linux to run commands or Bash scripts automatically at…
Introduction Pipes are an important feature in Linux and Bash scripting. A pipe allows you…
Introduction The grep, awk, and sed commands are powerful text-processing tools in Linux. They are…