Recognizing the languages of today’s malware families requires an understanding of both their grammar and lexicon. Modern detection systems typically rely only on components of the lexicon. This session will present research showing the detection and attribution benefits of understanding the grammar by utilizing unsupervised learning techniques to build adaptive language classifiers.