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This study introduces a web crawler system to detect SQL injection vulnerabilities and analyze government websites for information leakage, enhancing online security and privacy.

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Area of Science:

  • Computer Science
  • Information Security

Background:

  • Increasing internet reliance necessitates robust web security measures.
  • E-mail address leakage and SQL injection attacks are critical web security concerns.
  • Inadequate programming and database protection lead to data breaches.

Purpose of the Study:

  • To implement a crawler mining system with SQL injection vulnerability detection.
  • To analyze information leakage status on government portal sites globally.
  • To assess database security and content protection.

Main Methods:

  • Developed a web crawler algorithm for vulnerability detection.
  • Conducted black-box testing on various government websites.
  • Analyzed collected data on database structure and content.

Main Results:

  • Identified specific vulnerabilities and information leakage points.
  • Assessed the security posture of analyzed government portals.
  • Provided practical insights into web security and data privacy.

Conclusions:

  • The implemented system effectively detects SQL injection vulnerabilities.
  • Government websites exhibit varying degrees of susceptibility to information leakage.
  • Findings underscore the need for enhanced web security protocols and privacy measures.