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A model-guided symbolic execution approach for network protocol implementations and vulnerability detection.

Shameng Wen1, Qingkun Meng1, Chao Feng1

  • 1College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China.

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Summary
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This study introduces a new model-guided approach to find network protocol implementation vulnerabilities. It uses a finite state machine (FSM) model to guide symbolic execution, improving vulnerability detection in deep protocol states.

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Area of Science:

  • Computer Science
  • Network Security
  • Software Engineering

Background:

  • Existing formal techniques analyze network protocol specifications but fail to detect implementation vulnerabilities.
  • Symbolic execution struggles to reach deep states in stateful network protocols.

Purpose of the Study:

  • To propose a novel model-guided approach for detecting vulnerabilities in network protocol implementations.
  • To enhance the effectiveness of vulnerability detection in deep protocol states.

Main Methods:

  • Abstracting a finite state machine (FSM) model from the network protocol.
  • Utilizing the FSM model to guide symbolic execution for code and state coverage.
  • Implementing and applying the approach to real-world network protocol implementations.

Main Results:

  • Achieved high coverage of both code and protocol states.
  • Demonstrated superior effectiveness compared to traditional fuzzing methods like SPIKE.
  • Successfully detected vulnerabilities in deep states of network protocol implementations.

Conclusions:

  • The proposed model-guided approach is effective for identifying vulnerabilities in network protocol implementations.
  • This method overcomes limitations of traditional techniques in reaching deep protocol states.
  • It offers a more robust solution for network protocol security.