Malware Analysis Using Transfer Learning

Abstract

Abstract: The evolution of malware threats demands continuous innovation in detection techniques to safeguard systems. This research project introduces a comprehensive solution aimed at unveiling malware detection capabilities through the integration of cutting-edge methodologies and APIs. At its core, our tool utilises transfer learning techniques to analyse files for potential malicious content, providing a first line of defence against emerging threats. Building upon this foundation, the integration of the Virustotal API enhances enumeration capabilities, utilising the collective intelligence of numerous antivirus engines to validate and quantify detected threats. Then it calculates a malware score based on this enumeration, So everyone can easily understand how malicious that file is.