This research focuses on the classification of malware using deep learning techniques, specifically Convolutional Neural Networks (CNN). It utilizes the Malimg dataset, converting grayscale malware images into RGB color images to enhance classification accuracy. The study explores various architectures to improve malware detection capabilities, providing a comprehensive approach to addressing cybersecurity challenges.