解混淆Android原生二进制代码

Zeliang Kan, Haoyu Wang, Lei Wu, Yao Guo, Guoai Xu
{"title":"解混淆Android原生二进制代码","authors":"Zeliang Kan, Haoyu Wang, Lei Wu, Yao Guo, Guoai Xu","doi":"10.1109/ICSE-Companion.2019.00135","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an automated approach to facilitate the deobfuscation of Android native binary code. Specifically, given a native binary obfuscated by Obfuscator-LLVM (the most popular native code obfuscator), our deobfuscation system is capable of recovering the original Control Flow Graph. To the best of our knowledge, it is the first work that aims to tackle the problem. We have applied our system in different scenarios, and the experimental results demonstrate the effectiveness of our system based on generic similarity comparison metrics.","PeriodicalId":273100,"journal":{"name":"2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","volume":"253 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Deobfuscating Android Native Binary Code\",\"authors\":\"Zeliang Kan, Haoyu Wang, Lei Wu, Yao Guo, Guoai Xu\",\"doi\":\"10.1109/ICSE-Companion.2019.00135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose an automated approach to facilitate the deobfuscation of Android native binary code. Specifically, given a native binary obfuscated by Obfuscator-LLVM (the most popular native code obfuscator), our deobfuscation system is capable of recovering the original Control Flow Graph. To the best of our knowledge, it is the first work that aims to tackle the problem. We have applied our system in different scenarios, and the experimental results demonstrate the effectiveness of our system based on generic similarity comparison metrics.\",\"PeriodicalId\":273100,\"journal\":{\"name\":\"2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)\",\"volume\":\"253 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSE-Companion.2019.00135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSE-Companion.2019.00135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

在本文中,我们提出了一种自动化的方法来简化Android原生二进制代码的解混淆。具体来说,给定一个被obfusator - llvm(最流行的本地代码混淆器)混淆的本地二进制文件,我们的去混淆系统能够恢复原始的控制流图。据我们所知,这是第一部旨在解决这个问题的作品。我们已经在不同的场景中应用了我们的系统,实验结果证明了基于通用相似度比较指标的系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deobfuscating Android Native Binary Code
In this paper, we propose an automated approach to facilitate the deobfuscation of Android native binary code. Specifically, given a native binary obfuscated by Obfuscator-LLVM (the most popular native code obfuscator), our deobfuscation system is capable of recovering the original Control Flow Graph. To the best of our knowledge, it is the first work that aims to tackle the problem. We have applied our system in different scenarios, and the experimental results demonstrate the effectiveness of our system based on generic similarity comparison metrics.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信