Malware Analysis with Multiple Features

M. N. A. Zabidi, M. A. Maarof, A. Zainal
{"title":"Malware Analysis with Multiple Features","authors":"M. N. A. Zabidi, M. A. Maarof, A. Zainal","doi":"10.1109/UKSim.2012.40","DOIUrl":null,"url":null,"abstract":"Malware analysis process is being categorized into static analysis and dynamic analysis. Both static and dynamic analysis have their own strengths and weaknesses. In this paper, we present a tool written in Python programming language called as pingaji, which could assist the work of malware analyst to get the static features of malware. pingaji contains several modules - Application Programming Interface (API) calls extractor, binary entropy information, anti virtual machine and anti debugger detector and XOR encrypted strings decrypt or. pingaji was developed in order to assist our work in getting malware features. pingaji is focusing on ripping Microsoft Windows executable binaries' malicious features.","PeriodicalId":405479,"journal":{"name":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 UKSim 14th International Conference on Computer Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UKSim.2012.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

Abstract

Malware analysis process is being categorized into static analysis and dynamic analysis. Both static and dynamic analysis have their own strengths and weaknesses. In this paper, we present a tool written in Python programming language called as pingaji, which could assist the work of malware analyst to get the static features of malware. pingaji contains several modules - Application Programming Interface (API) calls extractor, binary entropy information, anti virtual machine and anti debugger detector and XOR encrypted strings decrypt or. pingaji was developed in order to assist our work in getting malware features. pingaji is focusing on ripping Microsoft Windows executable binaries' malicious features.
恶意软件分析与多个功能
恶意软件分析过程分为静态分析和动态分析。静态分析和动态分析都有各自的优缺点。本文提出了一个用Python编程语言编写的工具pingaji,它可以帮助恶意软件分析人员获取恶意软件的静态特征。pingaji包含几个模块-应用程序编程接口(API)调用提取器,二进制熵信息,反虚拟机和反调试器检测器和异或加密字符串解密或。Pingaji的开发是为了帮助我们获取恶意软件功能。pingaji专注于撷取微软Windows可执行二进制文件的恶意功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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