Book contents
- Frontmatter
- Contents
- Foreword
- Preface
- 1 Introduction
- 2 Moving to Proactive Cyber Threat Intelligence
- 3 Understanding Darkweb Malicious Hacker Forums
- 4 Automatic Mining of Cyber Intelligence from the Darkweb
- 5 Analyzing Products and Vendors in Malicious Hacking Markets
- 6 Using Game Theory for Threat Intelligence
- 7 Application: Protecting Industrial Control Systems
- 8 Conclusion
- Glossary
- References
- Index
1 - Introduction
Published online by Cambridge University Press: 06 April 2017
- Frontmatter
- Contents
- Foreword
- Preface
- 1 Introduction
- 2 Moving to Proactive Cyber Threat Intelligence
- 3 Understanding Darkweb Malicious Hacker Forums
- 4 Automatic Mining of Cyber Intelligence from the Darkweb
- 5 Analyzing Products and Vendors in Malicious Hacking Markets
- 6 Using Game Theory for Threat Intelligence
- 7 Application: Protecting Industrial Control Systems
- 8 Conclusion
- Glossary
- References
- Index
Summary
Recently, the online market for exploit kits, malware, botnet rentals, tutorials, and other hacking products has continued to evolve, and what was once a rather hard-to-penetrate and exclusive market—whose buyers were primarily western governments [95]—has now become more accessible to a much wider population. Specifically, the darknet—portions of the Internet accessible through anonymization protocols such as Tor and i2p—has become populated with a variety of markets specializing in such products [94, 2]. In particular, 2015 saw the introduction of darknet markets specializing in zero-day exploit kits, designed to leverage previously undiscovered vulnerabilities. These exploit kits are difficult and time consuming to develop—and often are sold at premium prices.
The explosive increase in popularity of exploit markets and hacker forums presents a valuable opportunity to cyber defenders. These online communities provide a new source of information about potential adversaries, consequently forming the nascent cyber threat intelligence industry. Pre-reconnaissance cyber threat intelligence refers to information gathered prior to a malicious actor interactingwith a defended computer system. To provide a concrete example demonstrating the importance of pre-reconnaissance cyber threat intelligence, consider the case study shown in Table 1.1. A Microsoft Windows vulnerability was identified in February 2015. Microsoft's public press release regarding this vulnerability was essentially their way of warning customers of a security flaw. At the time of its release, there was no publicly known method to leverage this flaw in a cyber-attack (i.e., an available exploit). However, about a month later, an exploit was found to be on sale in a darknet exploit marketplace. It was not until July when FireEye, a major cybersecurity firm, identified that the Dyre Banking Trojan, designed to steal credit card information, exploited this particular vulnerability. This vignette illustrates how threat warnings gathered from the darknet can provide valuable information for security professionals in the form of early-warning threat indicators. Between Dyre and the similar Dridex banking trojan, nearly 6 out of every 10 global organizations were affected, a shocking statistic.
- Type
- Chapter
- Information
- Darkweb Cyber Threat Intelligence Mining , pp. 1 - 3Publisher: Cambridge University PressPrint publication year: 2017