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Coverage-guided differential testing of TLS implementations based on syntax mutation.

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This study introduces an efficient method to detect differences in Transport Layer Security (TLS) protocol implementations. The approach enhances vulnerability discovery by guiding test case mutation and reducing duplicate findings.

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Area of Science:

  • Computer Science
  • Network Security
  • Software Engineering

Background:

  • Transport Layer Security (TLS) is crucial for secure network communications.
  • Vulnerabilities in TLS protocol designs and implementations are a persistent concern.
  • Differential testing is used to identify implementation differences and potential vulnerabilities.

Purpose of the Study:

  • To develop a more efficient method for finding differences in TLS protocol implementations.
  • To improve the discovery of vulnerabilities by analyzing TLS handshake processes.
  • To reduce redundant test cases through theoretical exploration and deduplication strategies.

Main Methods:

  • Targeting the TLS protocol handshake process for difference detection.
  • Utilizing fuzzing differences (code coverage, response data) to guide test case mutation.
  • Mutating seeds based on TLS protocol syntax and developing a deduplication strategy.
  • Employing open-source tools NEZHA and TLS-diff for implementation.

Main Results:

  • The proposed method effectively improves the detection of differences between TLS implementations.
  • Discrepancies increased by approximately 20% compared to TLS-diff under similar test conditions.
  • The deduplication strategy proved effective in reducing redundant test cases.

Conclusions:

  • The novel approach significantly enhances the efficiency of identifying discrepancies in TLS implementations.
  • The method offers a valuable contribution to network security by improving vulnerability detection.
  • The findings validate the effectiveness of the proposed differential testing and deduplication strategies.