Big Data. Big Decisions
InformationWeek
Special Coverage Series


Zeus Botnet Eurograbber Steals $47 Million

Sophisticated, targeted attack campaign enabled criminals to steal an estimated $47 million from more than 30,000 corporate and private banking customers.

Who Is Hacking U.S. Banks? 8 Facts
Who Is Hacking U.S. Banks? 8 Facts
(click image for larger view and for slideshow)
A criminal gang wielding a new version of Zeus malware that's designed for mobile devices has stolen an estimated 36 million euros, or $47 million, from more than 30,000 corporate and private banking customers.

That finding comes from a new report published by security vendors Versafe and Check Point Software Technologies. They've dubbed the related attack campaign as "Eurograbber," and notified banks and law enforcement agencies in the affected countries.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Attackers have configured the malware to target customers of 16 specific banks in Italy, as well as seven in Spain, six in Germany and three in the Netherlands. "To date, this exploit has only been detected in euro zone countries, but a variation of this attack could potentially affect banks in countries outside of the European Union as well," according to the report. Individual transfer amounts made by Eurograbber malware have ranged from 500 euros ($656) to 250,000 euros ($328,000).

The malware used by attackers is a customized version of the Zitmo Trojan spyware application. Zitmo is short for "Zeus in the mobile," and the malware is designed to defeat the two-factor authentication systems employed by some banks. To do that, a companion, smartphone version of the malware intercepts the one-time transaction authentication number (TAN) that banks send to a customer's mobile device, via SMS, which the customer must then enter into a banking website prompt to authorize a money transfer.

[ Here is a good question: Can Banks Prevent The Next Cyber Attack? ]

The Zitmo Trojan can infect a PC if a user clicks on a malicious link in a spam or phishing email, or on a link on a website that's been compromised by attackers. The malicious Trojan application then remains dormant until a user logs into a targeted financial firm's website. "The next time the bank customer logs in to their bank account, the Eurograbber Trojan intercepts their banking session and injects a JavaScript into the customer's banking page," according to the report. "This malicious JavaScript informs the customer of the 'security upgrade' and instructs them on how to proceed."

The security upgrade page requests that the user indicated which mobile operating system their smartphone uses -- Android, BlackBerry, iOS (iPhone), Symbian (Nokia) or other -- as well as their mobile phone number. This information is then relayed to a drop zone, which is a publicly writable folder on a Web server -- which attackers may have previously hijacked -- where they store information about every infected bank customer's PC, including account numbers, log-in credentials, and one-time passwords.

A bogus confirmation SMS is then sent to the user's smartphone. "The SMS directs the customer to complete the security upgrade by clicking on the attached link. Doing so downloads a file onto the customer's mobile device with the appropriate mobile version of the Eurograbber Trojan," according to the report.

From then on, anytime that PC is used to log onto the targeted financial website, automatic attacks may take place, with the malware on the PC initiating transfers, and the malware on the smartphone intercepting any TAN sent by the bank, and automatically approving the transaction, which transfers money to mule accounts. "Victims' bank accounts will have lost money without their knowledge," according to the report. "This entire process occurs every time the bank customer logs into his or her bank account."

News of the Eurograbber Zitmo attack campaign follows the recent discovery of a cybercrime campaign waged using the Gameover Zeus Trojan, which steals banking credentials using phony but real-looking emails. Millions of those emails have been circulating in recent weeks, and are being distributed via the Cutwail spamming botnet.



Related Reading




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.