Assemblyline

Abstract

1. Introduction

AssemblyLine 4 is an open source malware analysis framework. It leverages Kubernetes and Docker to adapt to many use cases; from a small appliance for supporting manual malware analysis and security teams to large-scale enterprise security operations scanning millions of files a day and providing triage capabilities.

AssemblyLine can be easily integrated in your environment using its powerful rest API and web interfaces. The platform comes with dozens of services to provide deep file analysis and enable integration with other security platforms such as anti-virus, malware-detonation sandboxes and threat knowledge bases. Best of all, with a little bit of Python code you can extend it yourself by creating new analysis and integration services.

Repository Name Main Branch Dev Branch PyPI Release Assemblyline Base Assemblyline Core Assemblyline Service Client Assemblyline UI Assemblyline UI Frontend N/A Assemblyline Service Base

2. Objective

AssemblyLine 4: File triage and malware 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/CybercentreCanada/assemblyline.git
cd assemblyline

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 CybercentreCanada and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.