Big Data. Big Decisions
InformationWeek
Special Coverage Series


Malware Tools Get Smarter To Nab Financial Data

New versions of the Gh0st RAT Trojan -- believed to be used by China -- and the Citadel cybercrime kit both advance the malicious state of the art.

Who Is Hacking U.S. Banks? 8 Facts
Who Is Hacking U.S. Banks? 8 Facts
(click image for larger view and for slideshow)
If you've got $3,931 burning a hole in your pocket, speak Russian, and want to invest in a crimeware toolkit, you're in luck.

That's the price for the latest version of the Citadel malware, code-named Rain Edition (1.3.5.1), which includes all of the latest malware mod cons: advanced Firefox and Chrome data-stealing plug-ins, advanced Web injection techniques to modify code on targeted websites, and easier updating for Trojan files that have been used to infect PCs. The malware also sports an easy-to-use, browser-based interface for running the command-and-control (C&C) infrastructure that sends instructions to infected PCs in the botnet -- and retrieves stolen data -- as well as infection analytics.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Of course, that's assuming you could even obtain a copy of Citadel. "Getting your hands on Citadel is more difficult because of a stricter validation process within the Russian underground," said Jerome Segura, a senior security researcher at Malwarebytes, in a blog post. "The makers of Citadel are trying to keep a low enough profile to avoid gathering too much attention which could result in efforts to go after them -- as we have seen with Zeus." Accordingly, it's only available on selected Russian-language underground forums.

[ Read Windows 7 Malware Infection Rates Soar. ]

As with much of the malware that's in circulation today, Citadel is designed to commit financial crimes. "The main purpose of Citadel is to steal banking credentials," said Segura, noting that the malware includes built-in capabilities that allow attackers to search victims' PCs for credentials related to specific banks. Most of the infected PCs, meanwhile, get managed by attackers using so-called bulletproof hosting providers. Predominantly located in Russia and China, these services will turn a blind eye to any cybercrime committed using their services, typically as long as it doesn't affect anyone inside their country's borders.

Although financial malware and banking Trojans are in common use, another leading application for botnet-managed malicious code is for perpetrating click fraud, typically by using malware to generate fake advertising impressions. According to a report on malware trends released by Kindsight Security Labs, the most active botnet from July to September of this year was ZeroAccess, which is actively infecting an estimated 685,000 PCs in the United States, and 2.2 million worldwide.

Kindsight estimates that on a daily basis, ZeroAccess botnets alone generate "about 140 million fraudulent ad-clicks and 260 terabytes of network traffic," costing advertisers $900,000 in lost advertising impressions per day. Of course, the malware can also be used to steal financial credential, sniff keystrokes and steal BitCoins.

Although malware remains the preferred tool for online criminals who want to steal financial details, recent advanced in espionage malware highlight its use for more political purposes as well.

For example, the most recent version of the Gh0st malware, which is designed to steal sensitive data, has lately added in a repurposed version of the Russian-built DarKDdoser tool, which can steal any passwords stored in the Mozilla Firefox browser, as well as launch three flavors of distributed denial-of-service attacks -- UDP floods, SYN floods, and HTTP floods -- according to a blog post from Vinay Pidathala, a security content researcher at FireEye.

The addition of DDoS capabilities is interesting, given that Gh0st previously has been used to launch cyberespionage attacks against targets in Iran, India, Germany, Thailand and other parts of Asia regions, in the pursuit of military, diplomatic, political and economic intelligence. Based in part on its use in an attack against the Dalai Lama and pro-Tibetan groups, security experts have suggested that many Gh0st attacks can be traced to China.

Gh0st is part of a class of Trojan application known as the remote administration tool (RAT), which can be used to take complete control of an infected system, typically via an advanced persistent threat (APT) attack.

Although RATs have been used for years, they came to prominence last year after McAfee published details of a command-and-control website tied to a tool it dubbed Shady RAT. Alarmingly, the tool had been used for at least five years, to compromise at least 72 organizations, including 22 governmental agencies and contractors, over a period of five years. Based on the targets and techniques used, many security experts suspect that, as with Gh0st, the Chinese government was backing Shady RAT.

The continued updating of Gh0st, as well as banking Trojans such as Citadel, demonstrates that such software continues to remain highly effective at infecting targeted PCs, and obtaining data that offers economic or political upsides.

Faster networks are coming, but security and monitoring systems aren't necessarily keeping up. Also in the new, all-digital Data Security At Full Speed special issue of InformationWeek: A look at what lawmakers around the world are doing to add to companies' security worries. (Free registration required.)



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.