US Patent 10929534 System and method detecting malicious files using machine learning

Disclosed are systems and methods for detection of malicious files using machine learning. An example method comprises: selecting one or more data blocks in an object being analyzed based on rules; performing a static analysis on the one or more data blocks to determine a set of features of the one or more data blocks; determining a degree of harmfulness of the object based on the set of features and a model for detection of malicious objects, wherein the model has been trained by a method for machine learning on at least one safe object and one malicious object; recognizing the object is safe when the degree of harmfulness does not exceed a predetermined threshold of harmfulness; and recognizing the object is malicious when the degree of harmfulness of the one or more data blocks exceeds the predetermined threshold of harmfulness.