Practical Cyber Intelligence provides a thorough and practical introduction to the different tactics, techniques, and procedures that exist in the field of cyber investigation and cyber forensics to collect, preserve, and analyze digital evidence, enabling readers to understand the digital landscape and analyze legacy devices, current models, and models that may be created in the future. Readers will learn how to determine what evidence exists and how to find it on a device, as well as what story it tells about the activities on the device.
Over 100 images and tables are included to aid in reader comprehension, and case studies are included at the end of the book to elucidate core concepts throughout the text.
To get the most value from this book, readers should be familiar with how a computer operates (e.g., CPU, RAM, and disk), be comfortable interacting with both Windows and Linux operating systems as well as Bash and PowerShell commands and have a basic understanding of Python and how to execute Python scripts.
Practical Cyber Intelligence includes detailed information on: - OSINT, the method of using a device’s information to find clues and link a digital avatar to a person, with information on search engines, profiling, and infrastructure mapping- Window forensics, covering the Windows registry, shell items, the event log and much more - Mobile forensics, understanding the difference between Android and iOS and where key evidence can be found on the device
Focusing on methodology that is accessible to everyone without any special tools, Practical Cyber Intelligence is an essential introduction to the topic for all professionals looking to enter or advance in the field of cyber investigation, including cyber security practitioners and analysts and law enforcement agents who handle digital evidence.
Table of Contents
About the Author xviii
Preface xix
Acknowledgments xx
Introduction xxi
1 Intelligence Analysis 1
1.1 Intelligence Life Cycle 1
1.2 Cyber Threat Intelligence Frameworks 10
1.3 Summary 13
2 Digital Forensics 15
2.1 Device Collection 16
2.2 Preservation 17
2.3 Acquisition 18
2.4 Processing 19
2.5 Analysis 20
2.6 Documentation and Reporting 21
2.7 Summary 22
3 Disk Forensics 23
3.1 Acquisition 23
3.2 Preparation 25
3.3 Analysis 25
3.4 File and Data Carving 31
3.5 Summary 32
4 Memory Forensics 33
4.1 Acquisition 34
4.2 Analysis 35
4.3 Summary 38
5 SQLite Forensics 39
5.1 Analyzing 40
5.2 Summary 43
6 Windows Forensics 45
6.1 New Technology File System (NTFS) 45
6.2 Acquisition 51
6.3 Analysis 52
6.4 Evidence Location 60
6.5 Summary 93
7 macOS Forensics 95
7.1 File System 95
7.2 Security 97
7.3 Acquisition 98
7.4 Analysis 100
7.5 Evidence Location 100
7.6 Summary 104
8 Linux Forensics 105
8.1 File System 105
8.2 Security 107
8.3 Acquisition 108
8.4 Analysis 109
8.5 Evidence Location 109
8.6 Summary 115
9 iOS 117
9.1 File System 117
9.2 Security 118
9.3 Applications 119
9.4 Acquisition 120
9.5 iCloud 122
9.6 Analysis 122
9.7 Evidence of Location 124
9.8 Summary 134
10 Android 137
10.1 File Systems 137
10.2 Security 137
10.3 Application 138
10.4 Acquisition 138
10.5 Analysis 145
10.6 Evidence of Location 146
11 Network Forensics 153
11.1 Acquisition 153
11.2 Analysis 158
11.3 Summary 165
12 Malware Analysis 167
12.1 Acquiring Malware Samples 168
12.2 Handling Malware Samples 169
12.3 Analysis 170
12.4 Summary 174
13 OSINT 177
13.1 Methodology 178
13.2 Documentation 179
13.3 Securing Yourself (OPSEC) 180
13.4 Search Engines 182
13.5 Profiling 184
13.6 Hunt for Data 189
13.7 Infrastructure Mapping 194
13.8 Automation of OSINT Tasks 208
13.9 Summary 209
14 Case Studies 211
14.1 Case of “The Missing Author” 211
14.2 The Insider Threat 212
15 Ending 213
15.1 What’s the Next Step? 213
Index 215
