Stoq

Abstract

1. Introduction

stoQ is an automation framework that helps to simplify the mundane and repetitive tasks an analyst is required to do. It enables analysts and DevSecOps teams to quickly transition between different data sources, databases, decoders/encoders, and numerous other tasks using enriched and consistent data structures. stoQ was designed to be enterprise ready and scalable, while also being lean enough for individual security researchers.

Kubernetes, AWS Lambda, Google Cloud Functions, Azure Functions, and many more.

2. Objective

An open source framework for enterprise level automated analysis.

This project demonstrates how Python can be applied to a real-world Cybersecurity & Ethical Hacking problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/PUNCH-Cyber/stoq.git
cd stoq

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add logging and alert notifications (email / Telegram)
• Write a threat model document for the tool
• Package it with Docker for safe lab testing

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Which threat or attack does this project defend against?
2. What detection or protection technique is used and what are its limits?
3. How are false positives and false negatives handled?
4. Which cryptographic algorithms or security standards are involved?
5. What legal and ethical rules apply when testing a tool like this?

9. Source Code & License

This project is developed by PUNCH-Cyber and published on GitHub under the Apache License 2.0. Please follow the license terms and credit the original author when you use or modify this code.