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
About the Authors
About the Reviewers

Creating a MAEC Report

According to the official website of MAEC (Malware Attribute Enumeration and Characterization)—

"MAEC is a standardized language for encoding and communicating high-fidelity information about malware based upon attributes such as behaviors, artifacts, and attack patterns."

It eliminates the ambiguity and inaccuracy of malware descriptions and reduces the reliance on signatures, which helps MAEC to:

  • Improve human-to-human, human-to-tool, tool-to-tool, and tool-to-human communication about malware

  • Reduce potential duplication of malware analysis efforts by researchers

  • Allow for the faster development of countermeasures by enabling the ability to leverage responses to previously observed malware instances

This is shown in the following screenshot:

The malware reporting lacked a common structure and vocabulary; it often excluded key malware attributes that may be useful for mitigation and detection purposes, such as the specific vulnerability being exploited...