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Stage 01 of the Goodboy Framework β€” A progressive Windows malware development & analysis course. This stage teaches shellcode loader fundamentals: XOR decryption, PEB-walking API resolution, W^X memory discipline, and AV/ML evasion engineering. Dual red/blue team perspective, and hands-on debugger exercises. Achieved 0/76 on VirusTotal.

15
0
69% credibility
Found Mar 19, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This repository offers an educational sample program and extensive guides for hands-on learning about basic shellcode loading techniques in a Windows malware analysis course from offensive and defensive viewpoints.

How It Works

1
πŸ” Find the Learning Adventure

You discover this cybersecurity education project on GitHub, a fun way to learn about sneaky software tricks safely.

2
πŸ“₯ Grab Your Materials

Download the sample program and the massive step-by-step learning guide from the ready-to-go package.

3
πŸ’» Set Up a Safe Space

Create an isolated virtual computer on your main machine to play around without any risks.

4
πŸ“š Dive into the Guide

Follow the friendly lessons on theory, examining the sample, watching it work, and building defenses.

5
πŸ›‘οΈ Practice Spotting Tricks

Use simple tools to look inside the example and create your own ways to catch or dodge common checks.

6
πŸ† Test Your Skills

Run challenges from both the sneaky side and the protector side to see what you've learned.

πŸŽ“ Master Stage One

You now understand these basic techniques, feeling confident to tackle the next levels in the course.

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Star Growth

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AI-Generated Review

What is goodboy-stage01-basic-loader?

This GitHub stage 1 project delivers a Rust-built shellcode loader binary that decrypts and runs payloads while dodging AV/ML detection, achieving 0/76 on VirusTotal. It solves the core challenge of building evasive Windows malware prototypes for training, paired with a detailed analysis course covering decryption, API resolution, and memory discipline from red and blue team angles. Developers get a ready-to-analyze executable plus guided exercises using debuggers and static tools for hands-on development and analysis.

Why is it gaining traction?

It stands out in the github stage changes landscape by blending offensive loader basics with defensive countermeasures in a progressive course format, unlike scattered tutorials or basic PoCs. The hook is empirical AV/ML evasion data and dual-perspective learning path, including detection rule writing, that equips users to understand github stage commit evasion tactics versus detection. Low VT score and structured progression from basic to advanced stages draw security devs experimenting with stage github actions for realistic sims.

Who should use this?

Red team operators prototyping shellcode loaders for pentests, blue team analysts crafting YARA/Sigma rules against API hashing and sandbox checks, and malware researchers reversing real-world evasion in debuggers. Ideal for Windows security pros running isolated VMs to practice dynamic analysis on stage simulator github setups without risking production.

Verdict

Solid starter for security training with excellent docs and 0/76 achievement, but low 15 stars and 0.699999988079071% credibility score signal early-stage maturityβ€”pair it with your own VM lab before production use. Worth it for targeted red/blue skill-building if you're past beginner malware analysis.

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