Book Image

Cuckoo Malware Analysis

Book Image

Cuckoo Malware Analysis

Overview of this book

Cuckoo Sandbox is a leading open source automated malware analysis system. This means that you can throw any suspicious file at it and, in a matter of seconds, Cuckoo will provide you with some detailed results outlining what said file did when executed inside an isolated environment. Cuckoo Malware Analysis is a hands-on guide that will provide you with everything you need to know to use Cuckoo Sandbox with added tools like Volatility, Yara, Cuckooforcanari, Cuckoomx, Radare, and Bokken, which will help you to learn malware analysis in an easier and more efficient way. Cuckoo Malware Analysis will cover basic theories in sandboxing, automating malware analysis, and how to prepare a safe environment lab for malware analysis. You will get acquainted with Cuckoo Sandbox architecture and learn how to install Cuckoo Sandbox, troubleshoot the problems after installation, submit malware samples, and also analyze PDF files, URLs, and binary files. This book also covers memory forensics – using the memory dump feature, additional memory forensics using Volatility, viewing result analyses using the Cuckoo analysis package, and analyzing APT attacks using Cuckoo Sandbox, Volatility, and Yara. Finally, you will also learn how to screen Cuckoo Sandbox against VM detection and how to automate the scanning of e-mail attachments with Cuckoo.
Table of Contents (13 chapters)
Cuckoo Malware Analysis
Credits
About the Authors
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
Index

Additional memory forensic using Volatility


Now after we dump the memory, we need to do some forensics on it. The tool we will use is called Volatility Framework. It can extract digital artifacts from volatile memory (RAM) dumps. Volatility can analyze RAM dumps from 32-bit and 64-bit Windows, Linux, Mac OS, and Android systems.

  1. Download the latest Volatility available.

  2. After you finish downloading the file, you have to extract the files into a folder:

    $ tar -zxvf volatility-2.2.tar.gz
    

    Note

    Find the latest Volatility download link here: https://code.google.com/p/volatility/wiki/VolatilityIntroduction

  3. Change the directory to volatility-2.2:

    $ cd volatility-2.2/
    $ ls
    

    Our memory analysis will be using the vol.py file.

    Note

    For a detailed documentation about using Volatility, please see the following Wikipedia links:

    https://code.google.com/p/volatility/wiki/Release22

    https://code.google.com/p/volatility/wiki/CommandReference22

    https://code.google.com/p/volatility/wiki/VolatilityUsage22

Using Volatility...