Z Bang

Abstract

1. Introduction

Organizations and red teamers can utilize zBang to identify potential attack vectors and improve the security posture of the network. The results can be analyzed with the graphic interface or by reviewing the raw output files.

More details on zBang could be found in the Big zBang Theory blog post by @Hechtov: https://www.cyberark.com/threat-research-blog/the-big-zbang-theory-a-new-open-source-tool/

For your convenience, there is also a summarized Data Sheet about zBang: https://github.com/cyberark/zBang/blob/master/zBang%20Summarized%20Data%20Sheet.pdf

2. Objective

zBang is a risk assessment tool that detects potential privileged account threats

This project demonstrates how C# 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.

• .NET SDK / Visual Studio
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/cyberark/zBang.git
cd zBang

1. Download and run the release version from this GitHub repository link or compile it with your favorite compiler.
2. Sometimes, when downloading it through the browser, you will need to "unblock" the downloaded zBang.exe file.
3. In the opening screen, choose what scans you wish to execute.
4. To view demo results, click “Reload.”
5. To initiate new scans in your network, click “Launch.” A new window will pop up and will display the status of the different scans.
6. When the scans are completed, there will be a message saying the results were exported to an external zip file.

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 cyberark 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.