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

Jian Gao, Xin Yang, Ying Fu, Yu Jiang, Jiaguang Sun

Abstract

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.

BibTeX

@inproceedings{Gao-al:ASE18,
  author    = {Jian Gao and
               Xin Yang and
               Ying Fu and
               Yu Jiang and
               Jiaguang Sun},
  title     = {{VulSeeker:} a semantic learning based vulnerability seeker for cross-platform binary},
  booktitle = {ASE},
  pages     = {896--899},
  publisher = {{ACM}},
  year      = {2018},
}

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

Abstract

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