通过内存取证检测恶意软件和Rootkit

Qiang Hua, Yang Zhang
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引用次数: 10

摘要

最近的恶意软件进程装备了隐形技术来检测,破坏受害者的恶意软件检测设施。传统的基于主机的检测工具在它们所保护的主机内部执行,这使得它们很容易被欺骗和破坏。为了解决这一限制,提高检测的有效性和准确性,增强抗篡改能力,设计并实现了一种基于虚拟机的隐藏过程检测系统。将系统置于受保护虚拟机之外,利用虚拟机自省机制对受保护虚拟机的底层状态进行检测,然后利用客户视图转换技术重构客户操作系统的数据结构。系统通过视图比较检测,识别出缺少的关键进程和目标隐藏进程。此外,该系统还提供进程管理操作,例如终止和重新启动。用户可以通过配置文件配置相应的响应机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detecting Malware and Rootkit via Memory Forensics
Recent malware processes are armed with stealthy techniques to detect, subvert malware detection facilities of the victim. Traditional host-based detection tools execute inside the very hosts they are protecting, which makes them vulnerable to deceive and subvert. To address this limitation, improve the effectiveness and accuracy of detection, and boost the ability of tamper resistance, a VMM-based hidden process detection system is designed and implemented. The system is placed outside the protected virtual machine, using virtual machine introspection mechanism to inspect the low-level state of the protected virtual machine, then reconstructs the guest OS data structures by guest view casting technique. Based on view comparison detection, the system identifies the lack of the critical processes and the target hidden process. Additionally, this system provides process management operations, such as terminate and restart. Users can configure the corresponding response mechanism with configuration files.
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