Webkiller Github — Complete

The "WebKiller" GitHub project refers primarily to a Python-based tool developed for Information Gathering and reconnaissance. It is maintained by the Ultra Security Team , an Iranian cybersecurity group. The Core Tool: ultrasecurity/webkiller

The most prominent "WebKiller" repository is a security tool designed for penetration testers and bug hunters to automate the initial phases of a web application assessment. Primary Function

: It serves as an all-in-one reconnaissance script written in Key Features Information Gathering

: Retrieves details like CMS type, IP address, and DNS records. Vulnerability Scanning : Includes basic checks for common web misconfigurations. Subdomain Discovery : Maps out the attack surface of a target domain. : The project is led by Ashkan Moghaddas (Team Leader), with programming by Behzad Khalifeh and pentesting input from AmirMohammad Safari Development Status and Issues

The project has a history of community contributions but also faces significant technical debt. Active Maintenance

: While the repository is public, it has numerous open issues and pull requests related to broken print statements

(likely Python 2 vs Python 3 compatibility issues), missing prerequisites like the module, and requests for new features like proxy support. Prerequisites

: Users often struggle with installation because of outdated requirements.txt files or missing modules. Other Versions

There are alternative repositories with the same name, such as gunadizz/WebKiller

, which is a much smaller project with very few stars or forks, likely a personal project or a fork of the main tool. Context in Cybersecurity

Tools like WebKiller are part of a broader ecosystem of "automated recon" scripts found on GitHub, similar to tools like

, which aim to simplify the tedious work of manual reconnaissance for ethical hackers. step-by-step guide

on how to fix the common installation errors for the Ultra Security version of this tool?

ultrasecurity/webkiller: Tool Information Gathering ... - GitHub

GitHub - ultrasecurity/webkiller: Tool Information Gathering Write By Python. GitHub. Navigation Menu. Toggle navigation. Pull requests · ultrasecurity/webkiller - GitHub

Webkiller is an open-source, Python-based reconnaissance tool hosted on GitHub designed for security researchers to automate infrastructure mapping and vulnerability identification, including Cloudflare IP bypass and CMS detection. It streamlines the initial phase of penetration testing through features like subdomain discovery, port scanning, and WHOIS lookups. For more information, visit the Webkiller GitHub repository.

is a Python-based, open-source information-gathering tool available on webkiller github

. It is primarily used by security researchers and penetration testers for scanning websites and web applications to discover technical details and potential vulnerabilities. Core Features

Webkiller serves as a multi-functional reconnaissance engine, providing the following automated lookups: Domain Intelligence

: Performs Whois data collection, DNS lookups, and MX record discovery. Infrastructure Analysis

: Includes GeoIP lookups, banner grabbing, and port scanning to identify services running on a target. Reconnaissance

: Automates subdomain enumeration and reverse IP lookups to map the target's attack surface. Installation & Usage

The tool is designed for Linux environments like Kali Linux and follows a standard Python installation process: Clone the Repository git clone https://github.com/ultrasecurity/webkiller.git Install Dependencies : Navigate to the directory and run pip3 install -r requirements.txt : Launch the tool using python3 webkiller.py Community Observations Maintenance

: While powerful, some users have reported issues with deprecated library dependencies or print statement syntax errors in older Python versions. Educational Use : It is frequently cited in security write-ups

as a beginner-friendly tool for understanding the reconnaissance phase of a penetration test. Alternatives

: Similar tools often bundled in security repositories include

for subdomain fuzzing or Webpack bundle analyzers for production site reconnaissance.

ultrasecurity/webkiller: Tool Information Gathering ... - GitHub

Install. git clone https://github.com/ultrasecurity/webkiller.git cd webkiller pip3 install -r requirements.txt python3 webkiller. Issues · ultrasecurity/webkiller - GitHub

Introduction

In the vast expanse of the internet, security and vulnerability testing are crucial for safeguarding digital assets. Among the plethora of tools available for penetration testing and web application security assessment, WebKiller stands out as a comprehensive suite of tools. Hosted on GitHub, WebKiller offers a wide range of functionalities aimed at identifying vulnerabilities in web applications. This article provides an overview of WebKiller, its features, and how it can be utilized for enhancing web application security.

What is WebKiller?

WebKiller is an open-source toolkit designed for web application security testing. It is available on GitHub, making it accessible to security professionals and enthusiasts alike. The tool is engineered to help in the identification of vulnerabilities such as SQL injection, cross-site scripting (XSS), and other common web application security issues. The "WebKiller" GitHub project refers primarily to a

Key Features of WebKiller

  1. Vulnerability Scanning: WebKiller can automatically scan a web application for known vulnerabilities. It uses a database of known vulnerabilities to identify potential issues.

  2. SQL Injection Detection: 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.

  3. Cross-Site Scripting (XSS) Detection: WebKiller can identify potential XSS vulnerabilities. XSS is a type of vulnerability that allows attackers to inject client-side scripts into web pages viewed by other users.

  4. Command Execution and File Inclusion Vulnerabilities: 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.

  5. User Interface: WebKiller offers a user-friendly interface that makes it easier for users to navigate through the tool and perform scans.

  6. Customizable: Being open-source, WebKiller allows users to customize and extend its functionality according to their needs.

How to Use WebKiller

Using WebKiller involves several steps:

  1. Clone the Repository: First, clone the WebKiller repository from GitHub to your local machine.

  2. Install Dependencies: Ensure you have all the necessary dependencies installed. This might include Python and specific libraries.

  3. Run the Tool: Execute WebKiller and follow the on-screen instructions to select the type of scan you want to perform.

  4. Analyze Results: Review the scan results to identify potential vulnerabilities.

  5. Report and Remediate: Generate reports on identified vulnerabilities and work on remediating them.

Ethical and Legal Considerations

  • Authorization: Always obtain proper authorization before performing security tests on a web application.
  • Legal Frameworks: Be aware of the legal implications and frameworks in your jurisdiction regarding penetration testing.

Conclusion

WebKiller on GitHub is a powerful tool for web application security testing. Its comprehensive feature set makes it an invaluable asset for security professionals looking to identify and mitigate vulnerabilities. However, like any powerful tool, it must be used responsibly and ethically. By promoting a culture of security and continuous testing, we can make the internet a safer place for everyone.

You're looking for a solid guide on WebKiller, a tool available on GitHub.

WebKiller is a Python-based tool used for web application vulnerability scanning and exploitation. Here's an overview of the tool and its features:

WebKiller GitHub: The Complete Guide to the Automated Penetration Testing Toolkit

Final Recommendation:

  1. Download from the official GitHub repository.
  2. Install on a Kali VM or Termux.
  3. Practice only on vulnerable VMs (like DVWA or Metasploitable).
  4. Never scan external domains without permission.

By understanding both the power and the peril of WebKiller, you become a more responsible cybersecurity professional. The code is a tool—how you wield it defines your ethics.

4. Reddit (r/netsec / r/hacking / r/tools)

WebKiller – A fast, open-source web fuzzing tool for directory & endpoint discovery

Hey everyone,

I just released WebKiller on GitHub. It’s a multithreaded web fuzzer built to help with:

  • Directory brute-forcing
  • File extension discovery
  • Endpoint fuzzing with custom wordlists
  • Proxy & request customization support

Unlike some heavier tools, WebKiller is minimal, fast, and easy to extend.

Would love feedback, issues, or PRs.

🔗 Repo: github.com/yourusername/webkiller

Quick snapshot

  • What it is: A script-based toolkit that automates web interactions—scanning, probing endpoints, fuzzing parameters, and in some forks, payload delivery.
  • Audience: Security researchers, penetration testers, and curious developers. Not suitable for casual use without explicit authorization.
  • Style: Lean code, command-line oriented, often combining existing libraries and simple orchestration logic rather than reinventing components.

A Typical Code Snippet (Python Variant)

Looking at the raw code on GitHub reveals how rudimentary yet effective these tools are. A simplified version looks like this:

import requests
import threading

url = "http://target-site.com"
def attack():
while True:
try:
requests.get(url, headers="User-Agent": "Mozilla/5.0")
except:
pass


for i in range(500):
thread = threading.Thread(target=attack)
thread.start()

This script creates 500 threads, each endlessly pinging the target URL. For a small shared hosting server, this is devastating.

5. Typical Features in WebKiller

  • Subdomain enumeration
  • Directory/file brute-forcing
  • CMS detection (WordPress, Joomla, etc.)
  • Server header analysis
  • Basic SQL injection detection
  • XSS scanning
  • Admin panel finder

Responsible use recommendations

  • Only run against targets you own or have explicit written permission to test.
  • Use rate-limiting and logging to avoid accidental DoS.
  • Combine findings with manual verification—automated hits often produce false positives.
  • Prefer forks with clear documentation and an active maintainer community.