Deep-Learning-based Vulnerability Detection in Binary Executables. (arXiv:2212.01254v1 [cs.CR])

The identification of vulnerabilities is an important element in the software
development life cycle to ensure the security of software. While vulnerability
identification based on the source code is a well studied field, the
identification of vulnerabilities on basis of a binary executable without the
corresponding source code is more challenging. Recent research [1] has shown,
how such detection can be achieved by deep learning methods. However, that
particular approach is limited to the identification of only 4 types of …

binary detection vulnerability vulnerability detection