Disclosed herein are methods and systems for detecting malicious files. An exemplary method comprises: selecting a file from a database of files used to perform training of a model for detecting a malicious file, forming one or more behavior patterns from intercepted one or more commands and parameters during execution of the file, forming a detection model, wherein the detection model selects a method of machine learning and is initialized with one or more hyper-parameters, training the detection model by calculating the one or more hyper-parameters based on the one or more behavior patterns to form a group of rules for calculating a degree of maliciousness of a resource and calculating a degree of maliciousness of another file based on the trained detection model.