
Solving Cyber Risk
Description
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Solving Cyber Risk distills a decade of research into a practical framework for cyber security. Blending statistical data and cost information with research into the culture, psychology, and business models of the hacker community, this book provides business executives, policy-makers, and individuals with a deeper understanding of existing future threats, and an action plan for safeguarding their organizations. Key Risk Indicators reveal vulnerabilities based on organization type, IT infrastructure and existing security measures, while expert discussion from leading cyber risk specialists details practical, real-world methods of risk reduction and mitigation.
By the nature of the business, your organization's customer database is packed with highly sensitive information that is essentially hacker-bait, and even a minor flaw in security protocol could spell disaster. This book takes you deep into the cyber threat landscape to show you how to keep your data secure.
* Understand who is carrying out cyber-attacks, and why
* Identify your organization's risk of attack and vulnerability to damage
* Learn the most cost-effective risk reduction measures
* Adopt a new cyber risk assessment and quantification framework based on techniques used by the insurance industry
By applying risk management principles to cyber security, non-technical leadership gains a greater understanding of the types of threat, level of threat, and level of investment needed to fortify the organization against attack. Just because you have not been hit does not mean your data is safe, and hackers rely on their targets' complacence to help maximize their haul. Solving Cyber Risk gives you a concrete action plan for implementing top-notch preventative measures before you're forced to implement damage control.
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Content
CHAPTER 1
Counting the Costs of Cyber Attacks
1.1 ANATOMY OF A DATA EXFILTRATION ATTACK
1.1.1 The Plan
The year 2012 had been good for a small group of cyber hackers. They called themselves 'Rescator', after the noble and mysterious pirate character in the Angelique series of French historical romantic films popular on television in Eastern Europe and Russia. The Rescator team specialized in scamming the credentials from credit cards and selling the details for around a 10th of a bitcoin each (approximately $1 in 2012) on sites in the dark web and other black market outlets, such as the Russian 'octavian' marketplace.1 As they counted their takings in early December 2012, they watched a YouTube meme about the preholiday shopping frenzy taking place in the United States, set to the tune of 'Good King Wenceslas' played on cash registers, a parody of consumerism. Ker-ching! Inspired, their planning began in earnest, reinvesting their profits to go for the jackpot: a major theft of US credit card information during next year's holiday spending spree. They could not have known just how successful they would be, and that they were about to commit the biggest theft of credit card data in human history.
1.1.2 The Malware
Rescator began by buying a malware kit from one of the underground forums to create a RAM scraper, similar to other point-of-sale (PoS) hacking malware known as BlackPOS, but significantly more sophisticated.2 The Rescator software later became known as Kaptoxa, Russian slang for potato. In the point-of-sale terminals that were standard in US shops in 2013, when a shopper swiped a credit card through the card reader, the information was read from the card's magnetic stripe, and under Payment Card Industry-Data Security Standard () rules, the data was encrypted immediately. This protected it at rest while stored on the local device's hard drive, and in transit when it was transmitted to the back-end servers for processing. The 2013 point-of-sale systems had a vulnerability: the card details were read into the computer's temporary memory (RAM) and encrypted while in memory. The malware RAM scraper could detect and copy the credit card details at the microsecond just before the data was encrypted, and send it to a server that Rescator would configure to receive the stolen data.
1.1.3 Finding a Way In
Armed with their Kaptoxa Trojan horse, the Rescator team mapped out a plan to insert it into point-of-sale systems in companies in the United States. They drew up a hit list of the largest retailers that process large volumes of credit card transactions. However, as they went through the list, they found a snag: these big retail companies were all investing heavily in new security systems. During 2012 and throughout 2013, most of the big-name US retailers announced or implemented new installations of malware and data exfiltration detection services - various vendor security systems to prevent unauthorized access to IT systems, to sweep networks for malware, and to monitor traffic on the network to detect suspicious packets that could be data being stolen.
1.1.4 Using Suppliers with Authorized Access
Rescator started to work on finding ways to get around these defenses. Instead of directly targeting the retail companies themselves, they started researching their suppliers and counterparties, particularly anyone who might be granted access into the retailers' information technology (IT) systems.
In September 2013 they hit the bull's-eye. An employee at Fazio Mechanical Services fell for one of their phishing attacks by opening an attachment on an unsolicited email enabling another piece of spyware, Citadel, a password-stealing Trojan, to infect Fazio's IT network.3 Fazio Mechanical Services had an impressive client list of major US retailers in and around Pennsylvania, providing them with refrigeration and heating, ventilation, and air-conditioning () systems, servicing their cold stores for frozen foods, and managing the energy usage and temperatures of large retail outlets. Fazio had access into the IT networks of its customers to enable it to monitor, troubleshoot, and control their refrigeration plants and HVAC systems.
Most significantly of all, the Fazio customer list included stores belonging to Target Corporation, a major discount store operator and second only to Walmart in US retail size. Target operated 1793 stores across 47 states in 2013, and had revenues of $72.5?billion.
1.1.5 Installing the Malware
Using their password-stealing Trojan, the Rescator team was able to obtain the credentials of the Fazio operators who routinely logged in through the firewall of Target Corporation into its IT network to monitor the Target refrigeration and HVAC systems. During the Thanksgiving holiday in November 2013 when most of the company was closed, they used these access codes to log in to the Target IT network and install their RAM-scraping malware on a few point-of-sale systems in Target stores. They took a couple of days to check that it worked, carried out systems checks, and waited to see if it would be detected. The Kaptoxa malware was sophisticated enough to be invisible to some of the best anti-malware systems in use at that time. Target was running 40 different commercial anti-malware tools, sweeping its networks and point-of-sale systems, and looking for any software that matched suspicious signatures. None of the systems identified the Kaptoxa installations as malicious.4
When the Rescator team found that their software had succeeded in evading the anti-malware sweeps, they returned and overnight pushed their malware to as many of Target's point-of-sale systems as they could reach.
1.1.6 Harvesting the Data
The pre-holiday season was indeed busy. Shoppers flocked into Target stores for their holiday gifts, appliances, and supplies. In a period from November 27, to December 15, 2013, the Kaptoxa malware on the point-of-sale systems in Target stores across the United States captured the details of transactions from 40 million debit and credit cards. An additional overlapping customer database that contained names and addresses of 70 million people was also stolen. It was the largest cache of credit card data that had ever been stolen.
The Kaptoxa malware cached the data it was stealing locally at each point-of-sale terminal. Every seven hours it checked the local time, and if it was between 10 a.m. and 5 p.m. it would send the data over the busy network traffic to an internal host on a compromised server inside the Target network. From there, the Rescator team used a series of remote file transfer protocol () transfers to retrieve the intercepted information, amounting to around 11?Gb of data. The stolen data transfers went to a number of 'drop' locations - servers in Russia, the United States, and Brazil that the Rescator gang controlled.5 These were computers in unsuspecting organizations that had also been hacked, giving the gang the ability to store the data there temporarily before moving the data on to a destination source, and masking their tracks.
1.1.7 Selling the Stolen Data
The gang moved quickly, trying to sell the stolen credit card details before the hack was discovered. They made the data available on their own marketplace website, as well as auction sites on the dark web and black market private dealerships. They sorted the stolen cards into categories, offering them for sale in blocks, such as 'Tortuga' and 'Barbarossa'. These were bought by other black market fraudsters to create new counterfeit cards mainly for use in shopping in stores for items than could be easily resold, classifying them by ZIP code to enable the fraudsters to shop locally like the real card owner to lessen suspicion. These card details contained full transaction information and verification details and were offered for prices around $20. They also offered non-US cards, chip-and-PIN (Europay, MasterCard, Visa [known as EMV cards]), and platinum or premium cards that were sold at higher prices, up to $120.6
1.1.8 Buy Back and Discovery
The sites where credit card information is offered for sale are routinely monitored by fraud detection officers from the card companies and major banks. It is a poorly-kept secret that the banks themselves buy back some of the card details on offer to take them off the black market and protect their cardholders. Banks may in fact be some of the best customers of credit card hackers. Around December 15, the bankers who were buying back their cardholders' details noticed that large volumes of new credit card details were appearing on the black market, with one thing in common - they had all made a purchase at Target in the past few days. They called Target. Some of them also spoke off the record to a cyber security journalist, Brian Krebs, who may have broken the news story on his blog on December 18.7 Target's forensic teams and their security consultants identified and removed the malware from the infected point-of-sale systems in a few hours, and began a full internal systems security audit and investigation. The investigation took many weeks to...
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