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MoneyPack/MoneyPack-Security-Suite
MoneyPack-Security-Suite is a machine learning model from MoneyPack. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Jun 2, 2026
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From the Hugging Face model README
Created by MoneyPack
Advanced Anti-Malware & RAT Detection - ZERO False Positives edition.
python moneypack_security.py
pip install pyinstaller psutil rich
pyinstaller --onefile --console --name MoneyPack_Security moneypack_security.py
Find your EXE at: dist\MoneyPack_Security.exe
The old version flagged anything containing /bin/sh or cmd.exe /c. That's dumb - every Python install has those.
v5.0 uses multi-indicator analysis:
Single patterns alone = ignored (too many false positives). Multiple patterns combined = confirmed malware.
| Feature | Description |
|---|---|
| Quick Scan | Scans Downloads, Desktop, Temp |
| Full Scan | Deep scan any directory you choose |
| Process Hunter | Finds RAT processes, option to KILL |
| Network Guard | Detects C2 callbacks & reverse shells |
| Real-Time Guard | Continuous background monitoring |
| Quarantine Vault | Isolate threats safely |
| Threat Log | History of all detections & kills |
This model repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "MoneyPack/MoneyPack-Security-Suite"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
For non-causal architectures, replace AutoModelForCausalLM with the appropriate AutoModel class.