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VYPER: Vulnerability detection in binary code

Published in SECURITY AND PRIVACY • Dec 5, 2019
NobleIDNI0P92W63R09S43
Authors:
El Habib Boudjema
,
Sergey Verlan
,
Lynda Mokdad

Abstract

Abstract This paper presents a method for exploitable vulnerabilities detection in binary code with almost no false positives. It is based on the concolic (a mix of concrete and symbolic) execution of software binary code and the annotation of sensitive memory zones of the corresponding program trac...

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