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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.

AI Malware Removal Software

$299.00 Regular Price
$49.04Sale Price
  • Ownership. Seller retains all right, title, and interest in and to the software application, including all copyrights and other intellectual property rights. No ownership is transferred to Buyer.

     

    License Grant. Upon payment, Seller grants Buyer a non-exclusive, non-transferable, perpetual license to use, modify, and internally reproduce the software application solely to build, operate, and maintain Buyer’s own closed-source product or service for Buyer’s internal business purposes or for services Buyer provides to Buyer’s customers.

     

    Permitted Commercial Use. Buyer may use the software application as a component in a materially distinct end product or service, including a hosted SaaS or paid service, provided that:

    (a) the end product is offered under Buyer’s own brand;

    (b) the software application is not exposed, sold, licensed, or distributed on a standalone basis;

    (c) Buyer’s customers receive only the functionality of Buyer’s end product or service, not the source code or reusable software itself; and

    (d) the end product or service is not advertised, marketed, positioned, or offered as a substitute for, clone of, competing alternative to, or lower-priced or free version of Seller’s software application or any commercial version of Seller’s software application.

     

    Restrictions. Buyer may not, and may not permit any third party to:

    (a) sell, resell, license, sublicense, redistribute, publish, transfer, or otherwise make available the software application, in whole or in part, on a standalone basis;

    (b) open-source, disclose, or provide access to the source code of the software application except to Buyer’s employees and contractors who are bound by written confidentiality obligations;

    (c) use the software application, or any substantially similar version of it, to create or offer a competing developer tool, template, starter kit, boilerplate, clone, or other product whose primary value is substantially the same as the software application itself; or

    (d) remove any proprietary notices contained in the software application.

     

    Buyer IP. As between the parties, Buyer owns Buyer’s branding, content, data, and original code that Buyer independently creates for Buyer’s end product, excluding the software application and any portion derived directly from it. Seller retains all rights in the software application and all modifications to the software application itself.

     

    No Support; No Warranty. THE SOFTWARE APPLICATION IS LICENSED “AS IS” AND “AS AVAILABLE,” WITHOUT WARRANTIES OF ANY KIND, EXPRESS OR IMPLIED, TO THE MAXIMUM EXTENT PERMITTED BY LAW. SELLER HAS NO OBLIGATION TO PROVIDE SUPPORT, MAINTENANCE, UPDATES, OR ENHANCEMENTS.

     

    Termination. This license terminates automatically if Buyer materially breaches these terms. Upon termination, Buyer must stop using the software application itself, except that Buyer may continue operating an already-deployed end product for a reasonable wind-down period of 30 days unless the breach involves unauthorized distribution, disclosure, or competition.

     

    Changes to Terms. Seller may update these license terms prospectively for future sales only. The version in effect on the purchase date governs Buyer’s license, unless Buyer later expressly agrees in writing to a new version.

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