Proceedings of the Eleventh ACM Conference on Data and Application Security and Privacy 2021
DOI: 10.1145/3422337.3447848
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Se-Pac

Abstract: Packers are widespread tools used by malware authors to hinder static malware detection and analysis. Identifying the packer used to pack a malware is essential to properly unpack and analyze the malware, be it manually or automatically. While many wellknown packers are used, there is a growing trend for new custom packers that make malware analysis and detection harder. Research works have been very effective in identifying known packers or their variants, with signature-based, supervised machine learning or … Show more

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Cited by 4 publications
(1 citation statement)
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“…Noureddine et al proposed a self-evolving packer classifier that leveraged packer clustering in both offline and online phases. However, they faced challenges related to the fragility of the Levenshtein distance on ASM sequences, particularly when dealing with diverse new packer families [32].…”
Section: Static Analysismentioning
confidence: 99%
“…Noureddine et al proposed a self-evolving packer classifier that leveraged packer clustering in both offline and online phases. However, they faced challenges related to the fragility of the Levenshtein distance on ASM sequences, particularly when dealing with diverse new packer families [32].…”
Section: Static Analysismentioning
confidence: 99%