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Malware Analysis Techniques

You're reading from   Malware Analysis Techniques Tricks for the triage of adversarial software

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Product type Paperback
Published in Jun 2021
Publisher Packt
ISBN-13 9781839212277
Length 282 pages
Edition 1st Edition
Languages
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Author (1):
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Dylan Barker Dylan Barker
Author Profile Icon Dylan Barker
Dylan Barker
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Basic Techniques
2. Chapter 1: Creating and Maintaining your Detonation Environment FREE CHAPTER 3. Chapter 2: Static Analysis – Techniques and Tooling 4. Chapter 3: Dynamic Analysis – Techniques and Tooling 5. Chapter 4: A Word on Automated Sandboxing 6. Section 2: Debugging and Anti-Analysis – Going Deep
7. Chapter 5: Advanced Static Analysis – Out of the White Noise 8. Chapter 6: Advanced Dynamic Analysis – Looking at Explosions 9. Chapter 7: Advanced Dynamic Analysis Part 2 – Refusing to Take the Blue Pill 10. Chapter 8: De-Obfuscating Malicious Scripts: Putting the Toothpaste Back in the Tube 11. Section 3: Reporting and Weaponizing Your Findings
12. Chapter 9: The Reverse Card: Weaponizing IOCs and OSINT for Defense 13. Chapter 10: Malicious Functionality: Mapping Your Sample to MITRE ATT&CK 14. Section 4: Challenge Solutions
15. Chapter 11: Challenge Solutions 16. Other Books You May Enjoy

Tackling packed samples

Perhaps one of the more common problems faced by analysts during the dynamic analysis phase of malware analysis is the encountering of samples that are packed, either by a commercially available packer such as UPX, or from a custom "roll-your-own" implementation from the threat actor.

In the case of a packed malware sample utilizing a commercial packer such as UPX or Themida, the easiest way is obviously to utilize the commercial unpacking tool to simply obtain the raw binary.

However, in some instances, this may not necessarily be possible, particularly if it is an altered version of a commercial packer, or if it is a custom-written packer for the piece of malware in question.

Recognizing packed malware

We've previously discussed how to recognized packed malware via entropy. However, there are a few other ways as well. If strings are run on a packed sample, there will often be no recognizable strings that are found within the sample...

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