Skip to Content
Learning Malware Analysis
book

Learning Malware Analysis

by Monnappa K A
June 2018
Beginner
510 pages
13h 7m
English
Packt Publishing
Content preview from Learning Malware Analysis

7.4 Classifying Malware Using YARA

A malware sample can contain many strings or binary indicators; recognizing the strings or binary data that are unique to a malware sample or a malware family can help in malware classification. Security researchers classify malware based on the unique strings and the binary indicators present in the binary. Sometimes, malware can also be classified based on general characteristics.

YARA (http://virustotal.github.io/yara/) is a powerful malware identification and classification tool. Malware researchers can create YARA rules based on textual or binary information contained within the malware specimen. These YARA rules consist of a set of strings and a Boolean expression, which determines its logic. Once ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Practical Malware Analysis

Practical Malware Analysis

Michael Sikorski, Andrew Honig
Mastering Malware Analysis

Mastering Malware Analysis

Alexey Kleymenov, Amr Thabet
Evasive Malware

Evasive Malware

Kyle Cucci

Publisher Resources

ISBN: 9781788392501Other