VulSeeker: a semantic learning based vulnerability seeker for cross-platform binary

Authors: Jian Gao, Xin Yang, Ying Fu, Yu Jiang, Jiaguang Sun - Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering 2018 cited by 192

Code reuse improves software development efficiency, however, vulnerabilities can be introduced inadvertently. Many existing works compute the code similarity based on CFGs to determine whether a binary function contains a known vulnerability. Unfortunately, their performance in cross-platform binary search is challenged.