• Title/Summary/Keyword: Compound File Binary Format

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An effective detection method for hiding data in compound-document files (복합문서 파일에 은닉된 데이터 탐지 기법에 대한 연구)

  • Kim, EunKwang;Jeon, SangJun;Han, JaeHyeok;Lee, MinWook;Lee, Sangjin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.6
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    • pp.1485-1494
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    • 2015
  • Traditionally, data hiding has been done mainly in such a way that insert the data into the large-capacity multimedia files. However, the document files of the previous versions of Microsoft Office 2003 have been used as cover files as their structure are so similar to a File System that it is easy to hide data in them. If you open a compound-document file which has a secret message hidden in it with MS Office application, it is hard for users who don't know whether a secret message is hidden in the compound-document file to detect the secret message. This paper presents an analysis of Compound-File Binary Format features exploited in order to hide data and algorithms to detect the data hidden with these exploits. Studying methods used to hide data in unused area, unallocated area, reserved area and inserted streams led us to develop an algorithm to aid in the detection and examination of hidden data.

A Research of Anomaly Detection Method in MS Office Document (MS 오피스 문서 파일 내 비정상 요소 탐지 기법 연구)

  • Cho, Sung Hye;Lee, Sang Jin
    • KIPS Transactions on Computer and Communication Systems
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    • v.6 no.2
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    • pp.87-94
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    • 2017
  • Microsoft Office is an office suite of applications developed by Microsoft. Recently users with malicious intent customize Office files as a container of the Malware because MS Office is most commonly used word processing program. To attack target system, many of malicious office files using a variety of skills and techniques like macro function, hiding shell code inside unused area, etc. And, people usually use two techniques to detect these kinds of malware. These are Signature-based detection and Sandbox. However, there is some limits to what it can afford because of the increasing complexity of malwares. Therefore, this paper propose methods to detect malicious MS office files in Computer forensics' way. We checked Macros and potential problem area with structural analysis of the MS Office file for this purpose.