AI Malware Removal Software is a production-ready malware detection system built with advanced machine learning and modern web technologies. This complete source code package provides a hybrid AI architecture combining CNN, Transformer, LSTM, and XGBoost models to analyze files for malicious patterns with claimed accuracy exceeding 95 percent. The system extracts over 200 static and behavioral features from files, classifies threats across 21 malware families, and delivers scan results in under 2 seconds.
The application includes a full-stack implementation with a FastAPI backend providing 11 REST endpoints and a React-based dashboard for file scanning, threat visualization, quarantine management, and scan history. The backend handles file uploads, runs AI inference, manages an SQLite database (PostgreSQL-ready for production), and implements secure quarantine with AES encryption. The frontend offers drag-and-drop scanning, real-time progress updates, threat level indicators, and comprehensive settings management. Docker deployment configurations are included for quick setup.
This software is designed for developers and companies building cybersecurity products or integrating malware scanning capabilities into existing platforms. You can deploy it as a standalone security tool, embed it as a microservice, or build a commercial SaaS offering on top of the codebase. The license permits commercial use including paid services and customer deployments. Technical requirements include Python 3.10 or higher, Node.js 18 or higher, 4GB RAM minimum (8GB recommended), and 2GB disk space.
The package includes over 11,000 lines of production-quality code across 40 files, comprehensive documentation (User Guide, API Documentation, Technical Specifications totaling 6,500+ lines), a complete test suite with unit and integration tests, deployment scripts, and synthetic training data generation tools. The synthetic data approach ensures broad malware pattern coverage during model training while protecting actual user information and sensitive samples. All components are modular and extensible to support custom feature engineering, additional malware families, or integration with external threat intelligence feeds.
Supported file types include Windows executables (EXE, DLL, SYS), PDF documents, Microsoft Office files, and various script formats. The feature extraction pipeline analyzes PE headers, import tables, entropy measurements, string patterns, metadata, behavioral indicators, and byte-level statistics. The system assigns five-level threat ratings from Safe to Critical and provides detailed classification reports including malware family identification and confidence scores.
