{"title":"Detecting Macro less and Anti-evasive Malware in Malspam Word Attachments Using Anergy Scoring Methodology","authors":"Shyam Sundar Ramaswami, Gandharba Swain","doi":"10.1109/AICAPS57044.2023.10074267","DOIUrl":null,"url":null,"abstract":"E-mails have become an inevitable part of everyone's internet lives today. Be it business, commercial, be it entertainment, e-mails are the crux of marketing and communication e-mail is the primary entry point for many malware-based attacks. Malspam is another form of e-mail delivered with malicious attachments. Macro-based malware is very common these days where the threat actor plans a malicious script that executes or downloads the actual malware when the document is opened. This is more towards a Microsoft Office document. In this paper, we are discussing a technique where the threat actors went un-detected for months by anti-virus vendors and how we ended up detecting the malicious elements inside a Microsoft Office document. This paper also proposes a solution using Anergy Scoring Methodology to flag a good Microsoft Office document vs a bad Microsoft Office Document in a swift and convincing manner.","PeriodicalId":146698,"journal":{"name":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICAPS57044.2023.10074267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
E-mails have become an inevitable part of everyone's internet lives today. Be it business, commercial, be it entertainment, e-mails are the crux of marketing and communication e-mail is the primary entry point for many malware-based attacks. Malspam is another form of e-mail delivered with malicious attachments. Macro-based malware is very common these days where the threat actor plans a malicious script that executes or downloads the actual malware when the document is opened. This is more towards a Microsoft Office document. In this paper, we are discussing a technique where the threat actors went un-detected for months by anti-virus vendors and how we ended up detecting the malicious elements inside a Microsoft Office document. This paper also proposes a solution using Anergy Scoring Methodology to flag a good Microsoft Office document vs a bad Microsoft Office Document in a swift and convincing manner.