Automatic Malware Analysis: An Emulator Based Approach
Malicious software (i.e., malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems.
Automatic Malware Analysis presents a virtualized malware analysis framework that addresses common challenges in malware analysis. In regards to this new analysis framework, a series of analysis techniques for automatic malware analysis is developed. These techniques capture intrinsic characteristics of malware, and are well suited for dealing with new malware samples and attack mechanisms.
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Chapter 1 Introduction
Chapter 2 Dynamic Binary Analysis Platform
Chapter 3 Hidden Code Extraction
Chapter 4 Privacybreaching Behavior Analysis
Chapter 5 Hooking Behavior Analysis
Chapter 6 Analysis of Trigger Conditions and Hidden Behaviors
Chapter 7 Concluding Remarks