Malware detection system with contextual analysis
a malware detection and contextual analysis technology, applied in the field of cybersecurity, can solve the problems of influencing or attacking normal operations, network devices will continue to be targeted for malware attacks, and the problem of malicious software becoming a pervasive problem for internet users,
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[0016]Embodiments of the present disclosure generally relate to a malware detection system configured to detect and classify one or more objects based on a correlation of analytic results that are produced from different types of analyses conducted on that object. According to one embodiment of the disclosure, these analytic results, generally referred to herein as “attributes,” may feature (1) one or more (a first set of) behaviors that include monitored activity or inactivity by the object during processing (herein, “behavior(s)”) and (2) one or more (a second set of) characteristics of the object that include certain information pertaining to the object acquired without executing or opening the object (herein, “characteristic(s)”). Examples of types of monitored behaviors may include communication-based or execution-based activities (especially anomalies) while types of detected characteristics may include metadata, any formatting information (especially anomalies) of the object,...
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