AIMaP

ABOUT AIMaP

AIMaP (Artificially Intelligent Malware Predictor) is an AI-powered malware analysis engine designed to deliver high-accuracy threat detection and malware family classification. It analyzes PE files using static features such as entropy, imports, section metadata, and structural patterns.

AIMaP's machine-learning models were trained on EMBER2024 dataset which contains over 5 million real-world samples collected from VirusTotal in 2024, covering thousands of malware families and extensive benign software distributions.

The system was trained on:

• LightGBM for binary malware detection
• A Deep Neural Network for malware family prediction

When a file is uploaded, AIMaP extracts static PE features, computes cryptographic hashes, and produces a detailed probabilistic assessment of maliciousness, along with family classification when applicable.

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