Download e-book for iPad: Advanced malware analysis by Christopher C. Elisan

By Christopher C. Elisan

ISBN-10: 0071819746

ISBN-13: 9780071819749

A specific consultant to establishing a malware study lab, utilizing state of the art research instruments, and reporting the findings

Advanced Malware Analysis is a serious source for each details safeguard professional's anti-malware arsenal. The confirmed troubleshooting strategies will provide an facet to details defense pros whose task consists of detecting, deciphering, and reporting on malware.

After explaining malware structure and the way it operates, the e-book describes the best way to create and configure a cutting-edge malware learn lab and assemble samples for research. Then, you’ll methods to use dozens of malware research instruments, manage facts, and create metrics-rich reports.

  • A the most important device for combatting malware―which at present hits each one moment globally
  • Filled with undocumented tools for customizing dozens of study software program instruments for extraordinarily particular makes use of
  • Leads you thru a malware blueprint first, then lab setup, and eventually research and reporting actions
  • Every software defined during this ebook comes in each nation round the world

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Additional resources for Advanced malware analysis

Example text

A malware sandbox is where an analyst can run and observe a malware’s behavior. A malware sandbox can be a single system or a network of systems designed solely to analyze malware during runtime. LINGO Malware sandbox, malware test environment, and dynamic analysis lab are different names given to a system where malware is executed for the purpose of analysis. indd 7 02/07/15 4:43 PM AppDev / Advanced Malware Analysis / Christopher Elisan / 974-6 / Chapter 1 8 Part I: Malware Blueprint Unlike static analysis, dynamic analysis is a high-risk, high-reward process.

A typical static data analysis pre-processing determines the following: ▶▶ ▶▶ ▶▶ ▶▶ Has the file been processed before? Does it match any known benign files? Does it match any known malicious files? Does it require any special sandbox implementations? The first two are the most common reasons for a file to be dropped and not processed by the automated malware analysis system anymore. Answering the first two questions is made possible by identifying duplicate files and having a whitelist database as part of the automated malware analysis implementation.

An analyst must be familiar with how malware behaves, how malware operates to stay persistent, how malware protects itself, and how malware manipulates the target environment for it to execute its directives. In reality, malware analysis may not reveal all the information about the malware because of the known limitations of malware analysis and because of the sophistication and difficulty level of the malware. The analyst may get only bits and pieces of data that she needs to connect together and make sense of.

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Advanced malware analysis by Christopher C. Elisan

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