Crawlergo

Abstract

1. Introduction

crawlergo is a browser crawler that uses chrome headless mode for URL collection. It hooks key positions of the whole web page with DOM rendering stage, automatically fills and submits forms, with intelligent JS event triggering, and collects as many entries exposed by the website as possible. The built-in URL de-duplication module filters out a large number of pseudo-static URLs, still maintains a fast parsing and crawling speed for large websites, and finally gets a high-quality collection of request results.

2. Objective

A powerful browser crawler for web vulnerability scanners

This project demonstrates how Go 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/Qianlitp/crawlergo.git
cd crawlergo

1. compilation for current platform
2. compile for all platforms
3. crawlergo relies only on the chrome environment to run, go to download for the new version of chromium.
4. Go to download page for the latest version of crawlergo and extract it to any directory. If you are on linux or macOS, please give crawlergo executable permissions (+x).
5. Or you can modify the code and build it yourself.

make build

make build_all

git clone https://github.com/Qianlitp/crawlergo
docker build . -t crawlergo
docker run crawlergo http://testphp.vulnweb.com/

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 Qianlitp and published on GitHub under the GNU General Public License v3.0. Please follow the license terms and credit the original author when you use or modify this code.