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DDRFuzz is a fuzzing system based on a seq2seq model to generate valuable seed corpus.

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DDRFuzz: Data-driven Fuzzing with Seq2Seq Model for Seed Generation

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Abstract

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Prerequisite

  • OS: ubuntu (18.04 LTS)
  • Container: docker (19.03.6)
  • Fuzzer: AFL (2.5.b)
  • DATA Collector: AFL4DDRFuzz

Description of Directory

(D: directory / F: file)

  • [D] projects: target projects
  • [D] src: source code of ddrfuzz
  • [F] Dockerfile: dockerfile for base environment such as os, AFL, utils, etc.
  • [F] docker-compose.yml: docker compose file for fuzzbuilderex, target libraries
  • [F] build.sh: script file to build target projects

Publications

DDRFuzz: Data-driven Fuzzing with Seq2Seq Model for Seed Generation

@article{
TBD
}

About

This program is authored and maintained by Sanghoon(Kevin) Jeon, Dongyoung Kim, and Minsoo Ryu.

Email: [email protected], [email protected], [email protected]

GitHub@DDRFuzz

About

DDRFuzz is a fuzzing system based on a seq2seq model to generate valuable seed corpus.

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