以太:恶意软件分析通过硬件虚拟化扩展

Artem Dinaburg, P. Royal, Monirul I. Sharif, Wenke Lee
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引用次数: 755

摘要

恶意软件已经成为互联网上大多数安全威胁的核心。恶意软件分析是提取恶意软件运行时行为,为检测系统提供签名,并为恢复和清除提供证据的关键技术。恶意软件分析之争的焦点是如何在运行时检测和隐藏恶意软件分析器。最先进的分析器驻留在或模拟客户操作系统及其底层硬件的一部分,使它们易于检测和规避。在本文中,我们提出了一种透明和外部的恶意软件分析方法,这种方法的动机是出于直觉,即恶意软件分析器要透明,它必须不会引起任何被恶意软件无条件检测到的副作用。我们的分析器Ether基于硬件虚拟化扩展(如Intel VT)的新应用程序,完全驻留在目标操作系统环境之外。因此,不存在易被检测到的来宾软件组件,也不存在因不完整或不准确的系统模拟而产生的缺陷。我们的实验是基于我们对用于创建25,000个最新恶意软件样本的混淆技术的研究。结果表明,以太币保持透明,并击败了逃避现有方法的混淆工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ether: malware analysis via hardware virtualization extensions
Malware has become the centerpiece of most security threats on the Internet. Malware analysis is an essential technology that extracts the runtime behavior of malware, and supplies signatures to detection systems and provides evidence for recovery and cleanup. The focal point in the malware analysis battle is how to detect versus how to hide a malware analyzer from malware during runtime. State-of-the-art analyzers reside in or emulate part of the guest operating system and its underlying hardware, making them easy to detect and evade. In this paper, we propose a transparent and external approach to malware analysis, which is motivated by the intuition that for a malware analyzer to be transparent, it must not induce any side-effects that are unconditionally detectable by malware. Our analyzer, Ether, is based on a novel application of hardware virtualization extensions such as Intel VT, and resides completely outside of the target OS environment. Thus, there are no in-guest software components vulnerable to detection, and there are no shortcomings that arise from incomplete or inaccurate system emulation. Our experiments are based on our study of obfuscation techniques used to create 25,000 recent malware samples. The results show that Ether remains transparent and defeats the obfuscation tools that evade existing approaches.
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