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MAALDET Malware Toolkit
Python-based toolkit using CNNs for malware detection by converting PE files to images. Includes sandbox integration for behavioral analysis of suspicious files.
Project Overview
MAALDET (Malware Detection Toolkit) is an advanced cybersecurity tool that leverages deep learning for static analysis. By converting Portable Executable (PE) files into grayscale images, it uses Convolutional Neural Networks (CNNs) to classify malware families. It is complemented by a dynamic analysis sandbox that monitors API calls and system changes.
Key Features
CN-based malware classification
PE file to image conversion visualization
Sandbox integration for behavioral analysis
Automated reporting of IOCs
Tech Stack
PythonTensorFlow/KerasOpenCVCuckoo SandboxDocker
Tags
#Python#CNN#Malware Analysis#Sandbox