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Semantic-Aware Vulnerability Detection.pdf

Semantic_Aware_Vulnerability_Detection.pdf
Preview of Semantic-Aware Vulnerability Detection
🔗 Source: facsrv.cs.depaul.edu
📊 Size: 190 KB
📄 Pages: 8 pages
⬇️ Downloads: 147

Summary

Researchers Zhen Huang and Marc White present SPDetect, an approach to detect vulnerabilities in software using safety properties and symbolic execution, providing semantic information about detected vulnerabilities, including source code program expressions, to help developers reproduce and repair them. SPDetect uses error path termination and input preconditions to guide symbolic execution to deep program paths, increasing efficiency in detecting vulnerabilities. The approach has been implemented and evaluated on real-world programs, showing effective and efficient vulnerability detection.

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Description

Researchers Zhen Huang and Marc White present SPDetect, an approach to detect vulnerabilities in software using safety properties and symbolic execution,...

Technical Information

  • File Format: PDF
  • File Size: 190 KB
  • Pages: 8
  • Language: EN
  • Total Downloads: 147
  • Last Updated: 4 weeks ago

Document Overview

This PDF document about Semantic-Aware Vulnerability Detection provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Semantic-Aware Vulnerability Detection.

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