HWP 문서형 악성코드 탐지를 위한 YARA규칙 및 탐지도구에 관한 연구

The Study on YARA Rules and Detection Tool for HWP Document-Type Malware

  • 국중진 (상명대학교 전자정보시스템공학과) ;
  • 원희찬 (상명대학교 전자정보시스템공학과) ;
  • 김성우 (상명대학교 정보보안공학과) ;
  • 김도희 (상명대학교 정보보안공학과) ;
  • 이정훈 (상명대학교 정보보안공학과)
  • Joongjin Kook (Dept. of Electronics and Information System Engineering, Sangmyung University) ;
  • Heechan Won (Dept. of Electronics and Information System Engineering, Sangmyung University) ;
  • Sungwoo Kim (Dept. of Information Security Engineering, Sangmyung University) ;
  • Dohee Kim (Dept. of Information Security Engineering, Sangmyung University) ;
  • Junghoon Lee (Dept. of Information Security Engineering, Sangmyung University)
  • 투고 : 2024.08.28
  • 심사 : 2024.09.14
  • 발행 : 2024.09.30

초록

This study details the development of YARA rules and a detection program specifically designed to identify malware in HWP documents, a common target in cyber-attacks within South Korea. By thoroughly analyzing the unique structural features of HWP files, we developed precise YARA rules that were subsequently integrated into a custom detection tool. The program was rigorously tested on a dataset of benign and malicious HWP documents, demonstrating high detection accuracy and a low false-positive rate. This research offers a robust and practical solution for enhancing cybersecurity in environments where HWP files are frequently used, contributing valuable tools for the targeted detection of document-based malware.

키워드

참고문헌

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