Deep PDF parsing to extract features for detecting embedded malware.

The feature descriptions of benign and malicious PDFs can be used to construct a machine learning model for detecting possible malware in future PDF files, and preliminary experiments show that the model is able to detect half of the PDF malware in the corpus with zero false alarms.