Hidost

Hidost is a static machine-learning-based system designed to detect malicious files, with a focus on PDF and SWF formats. It extracts structural features from these file types, such as paths within the document's tree structure, to train classification models like Support Vector Machines (SVM) and Random Forests (RF). The system aims to identify malicious content by analyzing these structural patterns, offering a faster alternative to dynamic analysis methods.