AI Malware Scanner GUI – Python App to Detect Suspicious Files | FuzzuTech

 Demo :

Click Video 👇👇👇

🔹 Intro :

Want to build your own AI-powered malware scanner? 💻 This Python GUI project uses a machine learning model to classify files based on their hash and size. With a hacker-style dark GUI and real-time detection, this project is perfect for ethical hacking and cybersecurity enthusiasts.

🔹 Features :

- 💡 Uses AI (Random Forest) to scan .exe, .pdf, .zip files

- ⚙️ Built with Python, customtkinter, and hashlib

- 🔐 Classifies files as Safe or Suspicious

- 🧠 Smart feature extraction from file size & SHA256 hash

- 🌙 Modern dark-mode GUI (desktop style)

- 🎯 Ideal for cybersecurity learners & ethical hackers

Code :

import os

import customtkinter as ctk

from tkinter import filedialog

from sklearn.ensemble import RandomForestClassifier

import joblib

import hashlib

# 1. Create Dummy Model (if not exists)

MODEL_PATH = "model/malware_classifier.joblib"

def create_dummy_model():

    os.makedirs("model", exist_ok=True)

    X = [[10000, 12345678], [20000, 87654321], [15000, 23456789], [50000, 99999999]]

    y = [0, 1, 0, 1]  # 0 = Safe, 1 = Suspicious

    model = RandomForestClassifier()

    model.fit(X, y)

    joblib.dump(model, MODEL_PATH)

    print("✅ Dummy model created successfully.")

if not os.path.exists(MODEL_PATH):

    create_dummy_model()

# 2. Load Model

model = joblib.load(MODEL_PATH)

# 3. Feature Extractor

def extract_features(file_path):

    try:

        file_size = os.path.getsize(file_path)

        with open(file_path, 'rb') as f:

            file_hash = hashlib.sha256(f.read()).hexdigest()

        hash_int = int(file_hash[:8], 16)

        return [[file_size, hash_int]]

    except:

        return [[0, 0]]

# 4. GUI App

class MalwareScannerGUI(ctk.CTk):

    def __init__(self):

        super().__init__()

        self.title("AI Malware Scanner")

        self.geometry("500x400")

        self.configure(fg_color="#1e1e1e")

        ctk.set_appearance_mode("dark")

        self.label_title = ctk.CTkLabel(self, text="🔒 Malware Classifier", font=("Arial", 24, "bold"))

        self.label_title.pack(pady=20)

        self.upload_btn = ctk.CTkButton(self, text="Upload File (exe/pdf/zip)", command=self.upload_file)

        self.upload_btn.pack(pady=20)

        self.status_label = ctk.CTkLabel(self, text="No file selected.", font=("Arial", 16))

        self.status_label.pack(pady=10)

        self.result_label = ctk.CTkLabel(self, text="", font=("Arial", 18, "bold"))

        self.result_label.pack(pady=10)

    def upload_file(self):

        file_path = filedialog.askopenfilename(filetypes=[("All Files", "*.*")])

        if file_path:

            self.status_label.configure(text="Scanning: " + os.path.basename(file_path))

            features = extract_features(file_path)

            prediction = model.predict(features)[0]

            result = "✅ Safe" if prediction == 0 else "⚠️ Suspicious"

            self.result_label.configure(text=f"Result: {result}")

if __name__ == "__main__":

    app = MalwareScannerGUI()

    app.mainloop()