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Adversarial Knowledge Workflow Suite (AKWS)

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Overview

Adversarial Knowledge Workflow Suite (AKWS) is a comprehensive framework designed to provide both red and blue teams with a structured template for simulating cyber-attacks and defending against them using machine learning techniques. The suite consists of various modules, each targeting a specific aspect of cyber-security, from basic attacks like password spraying to advanced persistent threats like the Golden Ticket attack. The modules are named sequentially from AK1 to AK47, where each module addresses a distinct attack vector or defensive measure.

Modules

AK1 - Password Spray

Objective: Simulate a password spray attack where a few common passwords are tried against many accounts to avoid account lockouts and detect weak credentials.

Features:

  • Customizable list of common passwords.
  • Configurable rate limits to mimic real-world attack scenarios.
  • Logging and reporting of successful attempts.

AK2 - Golden Ticket

Objective: Simulate a Golden Ticket attack, where a forged Kerberos ticket grants unauthorized access to resources within the domain.

Features:

  • Emulation of ticket creation using compromised domain credentials.
  • Simulation of ticket usage to access protected resources.
  • Detection algorithms to identify Golden Ticket usage.

Features

  • Modular Design: Each attack and defense module is independent, allowing easy integration and customization.
  • Machine Learning Integration: Leverages machine learning algorithms to enhance attack simulations and defensive strategies.
  • Scalable and Configurable: Designed to work in various environments, with configuration options to tailor the behavior of each module.
  • Detailed Reporting: Provides comprehensive reports on each simulated attack, including success rates and detected vulnerabilities.

Getting Started

Prerequisites

  • Python 3.8 or higher
  • Required Python libraries (specified in requirements.txt)

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/akws.git
cd akws

  2. Install the required libraries:

    pip install -r requirements.txt

Contribution

We welcome contributions from the community. To contribute, please fork the repository and submit a pull request with your changes. Ensure that your code adheres to the existing style and includes appropriate tests.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Brought to you by:

HADESS

HADESS performs offensive cybersecurity services through infrastructures and software that include vulnerability analysis, scenario attack planning, and implementation of custom-integrated preventive projects. We organized our activities around the prevention of corporate, industrial, and laboratory cyber threats.