Leonardo Gonçalves Chahud

Abstract Although numerous solutions have been proposed for the automatic detection of malicious components in executable files, malware analysis remains largely a manual task, with the human analyst often representing the main bottleneck. Recent approaches seek to highlight suspicious code regions to reduce analyst effort, but many still rely on signatures or produce high false-positive rates.