Network Forensics
Tracking Hackers through Cyberspace
1st Edition
Published on 18. June 2012
576 pages
978-0-13-256510-3 (ISBN)
Description
"This is a must-have work for anybody in information security, digital forensics, or involved with incident handling. As we move away from traditional disk-based analysis into the interconnectivity of the cloud, Sherri and Jonathan have created a framework and roadmap that will act as a seminal work in this developing field." - Dr. Craig S. Wright (GSE), Asia Pacific Director at Global Institute for Cyber Security + Research.
"It's like a symphony meeting an encyclopedia meeting a spy novel."
-Michael Ford, Corero Network Security
On the Internet, every action leaves a mark-in routers, firewalls, web proxies, and within network traffic itself. When a hacker breaks into a bank, or an insider smuggles secrets to a competitor, evidence of the crime is always left behind.
Learn to recognize hackers' tracks and uncover network-based evidence in Network Forensics: Tracking Hackers through Cyberspace.Carve suspicious email attachments from packet captures. Use flow records to track an intruder as he pivots through the network. Analyze a real-world wireless encryption-cracking attack (and then crack the key yourself). Reconstruct a suspect's web surfing history-and cached web pages, too-from a web proxy. Uncover DNS-tunneled traffic. Dissect the Operation Aurora exploit, caught on the wire.
Throughout the text, step-by-step case studies guide you through the analysis of network-based evidence. You can download the evidence files from the authors' web site (lmgsecurity.com), and follow along to gain hands-on experience.
Hackers leave footprints all across the Internet. Can you find their tracks and solve the case? Pick up Network Forensicsand find out.
"It's like a symphony meeting an encyclopedia meeting a spy novel."
-Michael Ford, Corero Network Security
On the Internet, every action leaves a mark-in routers, firewalls, web proxies, and within network traffic itself. When a hacker breaks into a bank, or an insider smuggles secrets to a competitor, evidence of the crime is always left behind.
Learn to recognize hackers' tracks and uncover network-based evidence in Network Forensics: Tracking Hackers through Cyberspace.Carve suspicious email attachments from packet captures. Use flow records to track an intruder as he pivots through the network. Analyze a real-world wireless encryption-cracking attack (and then crack the key yourself). Reconstruct a suspect's web surfing history-and cached web pages, too-from a web proxy. Uncover DNS-tunneled traffic. Dissect the Operation Aurora exploit, caught on the wire.
Throughout the text, step-by-step case studies guide you through the analysis of network-based evidence. You can download the evidence files from the authors' web site (lmgsecurity.com), and follow along to gain hands-on experience.
Hackers leave footprints all across the Internet. Can you find their tracks and solve the case? Pick up Network Forensicsand find out.
More details
Edition
1. Auflage
Language
English
Place of publication
Hoboken
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
File size
47,74 MB
ISBN-13
978-0-13-256510-3 (9780132565103)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
07/2012
Pearson
€71.50
Article not available at the moment
Persons
Sherri Davidoff is a founder of LMG Security, an information security consulting and research firm. Her specialties include network penetration testing, digital forensics, social engineering testing, and web application assessments. She holds her S.B. in Computer Science and Electrical Engineering from MIT.
Jonathan Ham has been commissioned to teach NCIS investigators how to use Snort, performed packet analysis from a facility more than two thousand feet underground, taught intrusion analysis to the NSA, and chartered and trained the CIRT for one of the largest U.S. civilian federal agencies. He is a founder of LMG Security.
Jonathan Ham has been commissioned to teach NCIS investigators how to use Snort, performed packet analysis from a facility more than two thousand feet underground, taught intrusion analysis to the NSA, and chartered and trained the CIRT for one of the largest U.S. civilian federal agencies. He is a founder of LMG Security.
Content
Foreword xvii Preface xix
Acknowledgments xxv
About the Authors xxvii
Part I: Foundation 1
Chapter 1: Practical Investigative Strategies 3
1.1 Real-World Cases 3
1.2 Footprints 8
1.3 Concepts in Digital Evidence 9
1.4 Challenges Relating to Network Evidence 16
1.5 Network Forensics Investigative Methodology (OSCAR) 17
1.6 Conclusion 22
Chapter 2: Technical Fundamentals 23
2.1 Sources of Network-Based Evidence 23
2.2 Principles of Internetworking 30
2.3 Internet Protocol Suite 35
2.4 Conclusion 44
Chapter 3: Evidence Acquisition 45
3.1 Physical Interception 46
3.2 Traffic Acquisition Software 54
3.3 Active Acquisition 65
3.4 Conclusion 72
Part II: Traffic Analysis 73
Chapter 4: Packet Analysis 75
4.1 Protocol Analysis 76
4.2 Packet Analysis 95
4.3 Flow Analysis 103
4.4 Higher-Layer Traffic Analysis 120
4.5 Conclusion 133
4.6 Case Study: Ann's Rendezvous 135
Chapter 5: Statistical Flow Analysis 159
5.1 Process Overview 160
5.2 Sensors 161
5.3 Flow Record Export Protocols 166
5.4 Collection and Aggregation 168
5.5 Analysis 172
5.6 Conclusion 183
5.7 Case Study: The Curious Mr. X 184
Chapter 6: Wireless: Network Forensics Unplugged 199
6.1 The IEEE Layer 2 Protocol Series 201
6.2 Wireless Access Points (WAPs) 214
6.3 Wireless Traffic Capture and Analysis 219
6.4 Common Attacks 224
6.5 Locating Wireless Devices 229
6.6 Conclusion 235
6.7 Case Study: HackMe, Inc. 236
Chapter 7: Network Intrusion Detection and Analysis 257
7.1 Why Investigate NIDS/NIPS? 258
7.2 Typical NIDS/NIPS Functionality 258
7.3 Modes of Detection 261
7.4 Types of NIDS/NIPSs 262
7.5 NIDS/NIPS Evidence Acquisition 264
7.6 Comprehensive Packet Logging 267
7.7 Snort 268
7.8 Conclusion 275
7.9 Case Study: Inter0ptic Saves the Planet (Part 1 of 2) 276
Part III: Network Devices and Servers 289
Chapter 8: Event Log Aggregation, Correlation, and Analysis 291
8.1 Sources of Logs 292
8.2 Network Log Architecture 306
8.3 Collecting and Analyzing Evidence 311
8.4 Conclusion 317
8.5 Case Study: L0ne Sh4rk's Revenge 318
Chapter 9: Switches, Routers, and Firewalls 335
9.1 Storage Media 336
9.2 Switches 336
9.3 Routers 340
9.4 Firewalls 344
9.5 Interfaces 348
9.6 Logging 352
9.7 Conclusion 355
9.8 Case Study: Ann's Coffee Ring 356
Chapter 10: Web Proxies 369
10.1 Why Investigate Web Proxies? 369
10.2 Web Proxy Functionality 371
10.3 Evidence 375
10.4 Squid 377
10.5 Web Proxy Analysis 381
10.6 Encrypted Web Traffic 392
10.7 Conclusion 401
10.8 Case Study: Inter0ptic Saves the Planet (Part 2 of 2) 402
Part IV: Advanced Topics 421
Chapter 11: Network Tunneling 423
11.1 Tunneling for Functionality 423
11.2 Tunneling for Confidentiality 427
11.3 Covert Tunneling 430
11.4 Conclusion 439
11.5 Case Study: Ann Tunnels Underground 441
Chapter 12: Malware Forensics 461
12.1 Trends in Malware Evolution 462
12.2 Network Behavior of Malware 484
12.3 The Future of Malware and Network Forensics 491
12.4 Case Study: Ann's Aurora 492
Afterword 519
Index 521
Acknowledgments xxv
About the Authors xxvii
Part I: Foundation 1
Chapter 1: Practical Investigative Strategies 3
1.1 Real-World Cases 3
1.2 Footprints 8
1.3 Concepts in Digital Evidence 9
1.4 Challenges Relating to Network Evidence 16
1.5 Network Forensics Investigative Methodology (OSCAR) 17
1.6 Conclusion 22
Chapter 2: Technical Fundamentals 23
2.1 Sources of Network-Based Evidence 23
2.2 Principles of Internetworking 30
2.3 Internet Protocol Suite 35
2.4 Conclusion 44
Chapter 3: Evidence Acquisition 45
3.1 Physical Interception 46
3.2 Traffic Acquisition Software 54
3.3 Active Acquisition 65
3.4 Conclusion 72
Part II: Traffic Analysis 73
Chapter 4: Packet Analysis 75
4.1 Protocol Analysis 76
4.2 Packet Analysis 95
4.3 Flow Analysis 103
4.4 Higher-Layer Traffic Analysis 120
4.5 Conclusion 133
4.6 Case Study: Ann's Rendezvous 135
Chapter 5: Statistical Flow Analysis 159
5.1 Process Overview 160
5.2 Sensors 161
5.3 Flow Record Export Protocols 166
5.4 Collection and Aggregation 168
5.5 Analysis 172
5.6 Conclusion 183
5.7 Case Study: The Curious Mr. X 184
Chapter 6: Wireless: Network Forensics Unplugged 199
6.1 The IEEE Layer 2 Protocol Series 201
6.2 Wireless Access Points (WAPs) 214
6.3 Wireless Traffic Capture and Analysis 219
6.4 Common Attacks 224
6.5 Locating Wireless Devices 229
6.6 Conclusion 235
6.7 Case Study: HackMe, Inc. 236
Chapter 7: Network Intrusion Detection and Analysis 257
7.1 Why Investigate NIDS/NIPS? 258
7.2 Typical NIDS/NIPS Functionality 258
7.3 Modes of Detection 261
7.4 Types of NIDS/NIPSs 262
7.5 NIDS/NIPS Evidence Acquisition 264
7.6 Comprehensive Packet Logging 267
7.7 Snort 268
7.8 Conclusion 275
7.9 Case Study: Inter0ptic Saves the Planet (Part 1 of 2) 276
Part III: Network Devices and Servers 289
Chapter 8: Event Log Aggregation, Correlation, and Analysis 291
8.1 Sources of Logs 292
8.2 Network Log Architecture 306
8.3 Collecting and Analyzing Evidence 311
8.4 Conclusion 317
8.5 Case Study: L0ne Sh4rk's Revenge 318
Chapter 9: Switches, Routers, and Firewalls 335
9.1 Storage Media 336
9.2 Switches 336
9.3 Routers 340
9.4 Firewalls 344
9.5 Interfaces 348
9.6 Logging 352
9.7 Conclusion 355
9.8 Case Study: Ann's Coffee Ring 356
Chapter 10: Web Proxies 369
10.1 Why Investigate Web Proxies? 369
10.2 Web Proxy Functionality 371
10.3 Evidence 375
10.4 Squid 377
10.5 Web Proxy Analysis 381
10.6 Encrypted Web Traffic 392
10.7 Conclusion 401
10.8 Case Study: Inter0ptic Saves the Planet (Part 2 of 2) 402
Part IV: Advanced Topics 421
Chapter 11: Network Tunneling 423
11.1 Tunneling for Functionality 423
11.2 Tunneling for Confidentiality 427
11.3 Covert Tunneling 430
11.4 Conclusion 439
11.5 Case Study: Ann Tunnels Underground 441
Chapter 12: Malware Forensics 461
12.1 Trends in Malware Evolution 462
12.2 Network Behavior of Malware 484
12.3 The Future of Malware and Network Forensics 491
12.4 Case Study: Ann's Aurora 492
Afterword 519
Index 521
