Ensure your system has Python 3 and the pip package manager deployed. Installation Steps
Webkiller can be easily installed on Linux-based distributions (optimized for Kali Linux and Ubuntu) as well as Windows environments. Prerequisites
The ultrasecurity/webkiller project relies on community feedback. Global security analysts continually issue bug fixes and optimize Python prerequisite configurations through active GitHub Pull Requests .
Setting up Webkiller requires a Git client and Python Package Installer (pip) installed on your system. Follow these terminal commands to deploy the tool: 1. Clone the Repository webkiller github
Webkiller includes an automated module to discover the core software powering a target web application.
python3 webkiller.py -u http://target.com
: The tool can also test for command execution and file inclusion vulnerabilities, which can be used to execute system commands or include files from remote servers. Ensure your system has Python 3 and the
Incident responders can use the reverse IP and domain lookup features to verify whether a suspicious external domain shares hosting infrastructure with known malicious sites or phishing campaigns. Operational Constraints and Best Practices
: First, clone the WebKiller repository from GitHub to your local machine.
: The tool includes modules specifically designed to detect SQL injection vulnerabilities. SQL injection is a common attack vector that allows attackers to execute arbitrary SQL queries. Global security analysts continually issue bug fixes and
pip3 install -r requirements.txt
pip3 install -r requirements.txt
For web-based targets, knowing the underlying Content Management System (CMS) or software stack is vital. Webkiller can analyze HTTP headers, source code patterns, and specific file paths to detect if a site runs on WordPress, Joomla, Drupal, or specific JavaScript frameworks. This allows analysts to cross-reference the detected versions with known vulnerability databases (CVEs). How to Install and Use Webkiller from GitHub
Webkiller is designed to be platform-agnostic but performs best within environments pre-configured for security workflows. The tool has been extensively tested on several major platforms: