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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