In general, in one aspect, a method for machine learning recognition of portable executable files as malware includes providing training data comprising features of portable executable files and a descriptive information for the portable executable files, the descriptive information comprising a family or type of malware. The method may include training a model using the training data to detect malware. The method may include using the trained model to recognize malware by providing features of a portable executable file as input and providing a threat score and descriptive information as output.