• Title/Summary/Keyword: NPNCB block

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Malicious Code Injection Vulnerability Analysis in the Deflate Algorithm (Deflate 압축 알고리즘에서 악성코드 주입 취약점 분석)

  • Kim, Jung-hoon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.5
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    • pp.869-879
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    • 2022
  • Through this study, we discovered that among three types of compressed data blocks generated through the Deflate algorithm, No-Payload Non-Compressed Block type (NPNCB) which has no literal data can be randomly generated and inserted between normal compressed blocks. In the header of the non-compressed block, there is a data area that exists only for byte alignment, and we called this area as DBA (Disposed Bit Area), where an attacker can hide various malicious codes and data. Finally we found the vulnerability that hides malicious codes or arbitrary data through inserting NPNCBs with infected DBA between normal compressed blocks according to a pre-designed attack scenario. Experiments show that even though contaminated NPNCB blocks were inserted between normal compressed blocks, commercial programs decoded normally contaminated zip file without any warning, and malicious code could be executed by the malicious decoder.

Proposal for Decoding-Compatible Parallel Deflate Algorithm by Inserting Control Header Composed of Non-Compressed Blocks (비 압축 블록으로 구성된 제어 헤더 삽입을 통한 압축 해제 호환성 있는 병렬 처리 Deflate 알고리즘 제안)

  • Kim Jung Hoon
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.5
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    • pp.207-216
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    • 2023
  • For decoding-compatible parallel Deflate algorithm, this study proposed a new method of the control header being made in such a way that essential information for parallel compression and decompression are stored in the Disposed Bit Area (DBA) of the non-compression block and being inserted into the compressed blocks. Through this, parallel compression and decompression are possible while maintaining perfect compatibility with the existing decoder. After applying this method, the compression time was reduced by up to 71.2% compared to the sequential processing method, and the parallel decompression time was reduced by up to 65.7%. In particular, it is well known that parallel decompression is impossible due to the structural limitations of the Deflate algorithm. However, the decoder equipped with the proposed method enables high-speed parallel decompression at the algorithm level and maintains compatibility, so that parallelly compressed data can be decoded normally by existing decoder programs.