Computer vision is playing an increasingly important role in automatedmalware detection with to the rise of the image-based binary representation . MalNet is the largest cybersecurity image database, offering 133x more images and 27x more classes than the only other public binary-image database . The scale and diversity of MalNet unlocks new and excitingcybersecurity opportunities to the computer vision community–enablingdiscoveries and research directions that were previously not possible . The database is publicly available at www.mal-net.org. The database contains over 1.2 million images across a hierarchy of 47 types and 696families. The number of images is over 1,000,000 times larger than the number of binary images used in MalNet. The Database is available at

Author(s) : Scott Freitas, Rahul Duggal, Duen Horng Chau

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Keywords : database - image - malnet - images - binary -

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