Ward

Abstract

1. Introduction

Ward understands your Laravel application — its routes, models, controllers, middleware, Blade templates, config files, .env secrets, Composer dependencies, and more. It doesn't just grep for patterns. It resolves your project's structure first, then runs targeted security checks against it.

Ward checks for all of these and more. It's designed to fit into the workflow you already have — run it locally during development, or wire it into CI to gate deployments.

2. Objective

Security scanner built for Laravel, detects misconfigurations, vulnerabilities, and exposed secrets with a beautiful TUI.

This project demonstrates how Go, Laravel 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.

• Go 1.20 or later
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/Eljakani/ward.git
cd ward

go install github.com/eljakani/ward@latest

export PATH="$PATH:$(go env GOPATH)/bin"

git clone https://github.com/Eljakani/ward.git
cd ward
make build    # builds ./ward with embedded version, commit, and date
make install  # installs to $GOPATH/bin

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 Eljakani 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.