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Automatically Understanding Executables

October 2018 Poster
Cory Cohen

This poster describes research aimed at reducing the cost of manual executable analysis for vulnerability discovery and malware analysis.

Publisher:

Software Engineering Institute

Abstract

The focus of this research is developing capabilities within CMU SEI’s Pharos binary code analysis framework to address the technical problems underlying important cyber challenges. The research will improve reverse engineers’ ability to comprehend complex malware by enabling them to trigger the execution of a specific portion of a program in a debugger or sandbox.