CloakQuest3r: Uncovering Real IPs Behind Cloudflare and Reverse Proxies

This repository profile is provided by osrepos.com, an open source repository discovery platform.

CloakQuest3r: Uncovering Real IPs Behind Cloudflare and Reverse Proxies

Summary

CloakQuest3r is an open-source Python tool designed for security professionals to uncover the real origin IP addresses of websites protected by Cloudflare and other reverse proxy services. It achieves this through comprehensive subdomain enumeration, DNS history analysis, and SSL certificate examination. This tool is invaluable for authorized security testing and strengthening web infrastructure defenses.

Repository Information

Analyzed by OSRepos on January 9, 2026

Use at your own risk

OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.

Introduction

CloakQuest3r is a powerful, open-source security research tool developed in Python, specifically designed to identify the true origin IP addresses of websites that utilize Cloudflare and similar reverse proxy or CDN services. While Cloudflare offers significant security and performance benefits, misconfigurations can inadvertently expose the underlying server infrastructure. CloakQuest3r helps security professionals, penetration testers, and web administrators assess these vulnerabilities through passive analysis techniques like subdomain enumeration, DNS history, and SSL certificate analysis. It is intended for authorized security testing and defensive assessments to enhance web asset security.

Installation

To get started with CloakQuest3r, follow these simple steps:

  1. Clone the repository:
    git clone https://github.com/spyboy-productions/CloakQuest3r.git
  2. Navigate to the directory:
    cd CloakQuest3r
  3. Install dependencies:
    pip3 install -r requirements.txt

    For Termux (Android) users encountering issues with cryptography installation, use:

    pkg install python-cryptography

Examples

Using CloakQuest3r is straightforward. Once installed, you can run it with a single command-line argument, the target domain you want to analyze:

python cloakquest3r.py example.com

Replace example.com with your target domain. The tool will automatically detect if Cloudflare is in use, print historical IP records, and then scan for subdomains to identify real IP addresses.

Optional: SecurityTrails API Integration

For enhanced historical IP data, you can integrate a free SecurityTrails API key. Upon first execution, a config.ini file will be generated in the CloakQuest3r directory. Edit this file to add your API key:

[DEFAULT]
securitytrails_api_key = your_api_key

Run Online:

CloakQuest3r can also be run online using platforms like Google Colab, Google Cloud Shell, and Binder for quick testing:

Why Use It

CloakQuest3r offers a robust set of features making it an essential tool for web security:

  • Real IP Detection: Accurately discovers the true IP address of web servers behind Cloudflare, crucial for comprehensive penetration tests.
  • Subdomain Scanning: Utilizes subdomain enumeration as a core component to identify the actual server hosting the website and its associated subdomains.
  • IP Address History: Retrieves historical IP address information, including location, owner, and last seen dates, often revealing past configurations.
  • SSL Certificate Analysis: Extracts and analyzes SSL certificates, which can sometimes expose details about the hosting infrastructure.
  • Threaded Scanning: Enhances efficiency by scanning a large list of subdomains concurrently, reducing execution time.
  • Detailed Reporting: Provides clear output, including the number of subdomains scanned, found, and the scan duration, along with any discovered real IP addresses.

This tool empowers security professionals to confidently evaluate website security, uncover hidden vulnerabilities, and fortify web assets. It was even recognized as one of the "Top 20 Most Popular Hacking Tools in 2023" by KitPloit.

Important Note: This tool is a Proof of Concept and is intended for educational purposes only. Please use it responsibly and ethically, always with the written permission of the targeted parties for legitimate penetration testing assignments.

Links

For more information, to contribute, or to report issues, please visit the official repository and related resources:

Related repositories

Similar repositories that may be relevant next.

dify-official-plugins: Extending Dify with AI Models, Tools, and Agent Strategies

dify-official-plugins: Extending Dify with AI Models, Tools, and Agent Strategies

August 18, 2026

The `dify-official-plugins` repository hosts a collection of official plugins for Dify, an open-source platform for developing LLM-powered AI applications. These plugins, including models, tools, agent strategies, and extensions, enhance Dify's capabilities and are maintained by the official Dify team. They are designed to help developers efficiently build, deploy, and manage AI-driven solutions.

PythonAILLM
Agent Skills: A Standardized Way to Give AI Agents New Capabilities

Agent Skills: A Standardized Way to Give AI Agents New Capabilities

August 18, 2026

Agent Skills provides a lightweight, open format for extending AI agent capabilities with specialized knowledge and workflows. It allows packaging procedural knowledge and context into portable, version-controlled folders that agents load on demand. This enables agents to gain domain expertise, follow repeatable workflows, and reuse skills across various compatible AI tools.

agent-skillsPythonAI
A-MEM: Self-Evolving Memory for Coding Agents

A-MEM: Self-Evolving Memory for Coding Agents

August 17, 2026

A-MEM is an innovative self-evolving memory system designed for coding agents, organizing knowledge into a dynamic Zettelkasten-style graph. It allows memories to evolve and connect over time, enhancing an agent's ability to recall and utilize information effectively. This system offers both semantic and structural search capabilities for a richer knowledge base.

PythonAILLM
Agent Sandbox: Secure Local Development for AI Coding Agents

Agent Sandbox: Secure Local Development for AI Coding Agents

August 17, 2026

Agent Sandbox provides a robust and secure local development environment specifically designed for collaborating with AI coding agents. It ensures minimal filesystem access, configurable network egress policies, and secure secret injection, protecting your local machine from potentially risky agent operations. This project supports various AI agents and integrates seamlessly with both CLI and popular IDE devcontainer setups.

agent-harnessagent-sandboxagents

Source repository

Open the original repository on GitHub.

17 counted GitHub visits

View on GitHub
OS
OSRepos

Analysis and discovery of open source repositories. Find interesting projects and follow their updates.

Monitor your website with YourWebsiteScore

OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of third-party repository code is at your own risk. Always review source code, dependencies, licenses, and security implications before running anything.

© 2025 OSRepos. Built with Nuxt 3 and lots of ❤️