🧠📦 This repository is a curated collection of stealers samples strictly for malware analysis, reverse engineering, and educational purposes. ⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
This repository is for educational and research purposes only. The intent is to help malware analysts, researchers, and students:
- Understand stealer malware architecture
- Practice reverse engineering techniques
- Learn detection & defense strategies
Do NOT use this code for unethical or illegal purposes. I do not condone or support any form of cybercrime.
This repository was created for:
- Learning how Stealers work internally for defensive programming.
- Reverse-engineering and malware analysis practice.
- Building better endpoint protection systems.
- Teaching cybersecurity concepts in ethical hacking and digital forensics courses.
Big thanks to:
- 🐾 MalwareBazaar — for open malware sample access.
- 🧠 VX-Underground — for inspiring open malware intelligence.
- 🛠️ Community malware researchers, REs, and cybernerds who make the internet slightly less awful.
Each folder contains:
- 🧬 Decompiled / Decompiled sample
- 📜 Notes on functionality
- 🐾 IOCs (Indicators of Compromise
✋ Always run samples in a sandbox or isolated VM.
- Disable host internet access
- Snapshot VM before each test
- Use INetSim or Fakenet-NG
- Never extract or run on host OS
Pull requests welcome — if you're a malware researcher with ethically sourced samples or clean analysis notes, feel free to contribute.