To raise the efficiency of static (or guide) reverse engineering, we propose DeepReflect: a Instrument for localizing and identifying malware components inside a destructive binary. To localize malware factors, we use an unsupervised deep neural community inside of a novel way, and classify the parts via a semi-supervised cluster Investigation, the