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Ffuzz: Towards full system high coverage fuzz testing on binary executables.

Bin Zhang1, Jiaxi Ye1, Xing Bi1

  • 1School of Electronic Science, National University of Defense Technology, Changsha, Hunan, P.R.C.

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This summary is machine-generated.

This study introduces Ffuzz, a hybrid tool combining fuzz testing and symbolic execution to find software bugs. Ffuzz enhances cyber security by effectively discovering vulnerabilities in user and kernel spaces.

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Area of Science:

  • Computer Science
  • Cyber Security
  • Software Engineering

Background:

  • Binary executable vulnerabilities pose significant cyber security risks.
  • Existing bug discovery methods (fuzz testing, symbolic execution, manual analysis) have limitations in deep code exploration.
  • Challenges exist in achieving high code coverage and avoiding analysis stagnation.

Purpose of the Study:

  • To design and implement a hybrid automatic bug-finding tool, Ffuzz.
  • To enhance the discovery of bugs in binary executables, targeting both user and kernel space.
  • To improve the efficiency and effectiveness of full system software stack testing.

Main Methods:

  • Developed Ffuzz, a hybrid tool integrating fuzz testing and selective symbolic execution.
  • Implemented optimizations to enhance the efficiency of full system testing.
  • Evaluated Ffuzz on real-world binary software and the Juliet test suite.

Main Results:

  • Ffuzz effectively combines fuzz testing and symbolic execution for higher code coverage.
  • The tool avoids common pitfalls of standalone fuzz testing and symbolic execution.
  • Demonstrated efficient and effective bug discovery in full system software stacks.

Conclusions:

  • Ffuzz offers an effective and efficient solution for discovering software bugs in binary executables.
  • The hybrid approach overcomes limitations of traditional bug-finding techniques.
  • Ffuzz contributes to improved cyber security by identifying vulnerabilities across the software stack.