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SUCCESS Lab

SUCCESS Lab

Texas A&M University College of Engineering

SVHunter (from our S&P’20 paper) code released!

Posted on March 1, 2020 by guofei

SVHunter is a novel tool to pinpoints a wide range of sensitive methods in SDN controllers and create data dependencies to attack these methods. The source code is available here.

See our S&P’20 paper for more details: Feng Xiao, Jinquan Zhang, Jianwei Huang, Guofei Gu, Dinghao Wu, Peng Liu. “Unexpected Data Dependency Creation and Chaining: A New Attack to SDN.” In Proc. of the 41st IEEE Symposium on Security and Privacy (S&P’20), San Francisco, CA, May 2020. [pdf] [bib]

Filed Under: Release

What’s New?

  • Winning Test of Time Award at DSN’25 June 24, 2025
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  • Two papers on human-centered security research to appear in Euro S&P’25 April 5, 2025
  • New Web3 research on ENS security to appear in WWW’25 January 25, 2025
  • New network security research to appear in USENIX Security’24 May 20, 2024

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