{"title":"Poster: Towards detecting DMA malware","authors":"Patrick Stewin, Jean-Pierre Seifert, Collin Mulliner","doi":"10.1145/2046707.2093511","DOIUrl":null,"url":null,"abstract":"Malware residing in dedicated isolated hardware containing an auxiliary processor such as present in network, video, and CPU chipsets is an emerging security threat. To attack the host system, this kind of malware uses the direct memory access (DMA) functionality. By utilizing DMA, the host system can be fully compromised bypassing any kind of kernel level protection. Traditional anti-virus software is not capable to detect this kind of malware since the auxiliary systems are completely isolated from the host CPU. In this work we present our novel method that is capable of detecting this kind of malware. To understand the properties of such malware we evaluated a prototype that attacks the host via DMA. Our prototype is executed in the chipset of an x86 architecture. We identified key properties of such malware that are crucial for our detection method. Our detection mechanism is based on monitoring the side effects of rogue DMA usage performed by the malware. We believe that our detection mechanism is general and the first step in the detection of malware in dedicated isolated hardware.","PeriodicalId":72687,"journal":{"name":"Conference on Computer and Communications Security : proceedings of the ... conference on computer and communications security. ACM Conference on Computer and Communications Security","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Computer and Communications Security : proceedings of the ... conference on computer and communications security. ACM Conference on Computer and Communications Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2046707.2093511","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 residing in dedicated isolated hardware containing an auxiliary processor such as present in network, video, and CPU chipsets is an emerging security threat. To attack the host system, this kind of malware uses the direct memory access (DMA) functionality. By utilizing DMA, the host system can be fully compromised bypassing any kind of kernel level protection. Traditional anti-virus software is not capable to detect this kind of malware since the auxiliary systems are completely isolated from the host CPU. In this work we present our novel method that is capable of detecting this kind of malware. To understand the properties of such malware we evaluated a prototype that attacks the host via DMA. Our prototype is executed in the chipset of an x86 architecture. We identified key properties of such malware that are crucial for our detection method. Our detection mechanism is based on monitoring the side effects of rogue DMA usage performed by the malware. We believe that our detection mechanism is general and the first step in the detection of malware in dedicated isolated hardware.
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恶意软件驻留在包含辅助处理器的专用隔离硬件中,例如存在于网络、视频和CPU芯片组中的恶意软件是一种新兴的安全威胁。为了攻击主机系统,这种恶意软件使用直接内存访问(DMA)功能。通过利用DMA,主机系统可以完全绕过任何类型的内核级保护。由于辅助系统与主机CPU完全隔离,传统的杀毒软件无法检测到此类恶意软件。在这项工作中,我们提出了一种能够检测这种恶意软件的新方法。为了了解这种恶意软件的属性,我们评估了一个通过DMA攻击主机的原型。我们的原型是在x86架构的芯片组中执行的。我们确定了此类恶意软件的关键属性,这些属性对我们的检测方法至关重要。我们的检测机制是基于监控恶意软件使用流氓DMA的副作用。我们相信我们的检测机制是通用的,并且是在专用隔离硬件中检测恶意软件的第一步。
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CiteScore
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