MalScan (Django 6.0, Class-Based Views)

ML-based static malware analysis web app (no registration).

Install (Linux)

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
sudo apt-get install -y libmagic1

Migrate DB

python manage.py makemigrations
python manage.py migrate

Train ML model

Create dataset.csv with columns: path,label (label 0=benign, 1=malicious), then:

python manage.py train_model --csv dataset.csv

This will create:

• artifacts/model.joblib
• artifacts/feature_schema.json

Run

python manage.py runserver 0.0.0.0:8000

Open: http://SERVER_IP:8000/

Notes

• Files are never executed.
• This MVP uses generic static features (entropy, strings, URL/IP counts, byte histogram).
• Add file-type plugins (PE/PDF/Office) later for better accuracy.