Big Data. Big Decisions
InformationWeek
Special Coverage Series


6 Reasons Hackers Would Want Energy Department Data

In Department of Energy breach, what was driving attackers to steal employee data? Stuxnet revenge is one theory.

Who Is Hacking U.S. Banks? 8 Facts
Who Is Hacking U.S. Banks? 8 Facts
(click image for larger view and for slideshow)
Why would hackers target the Department of Energy (DOE)?

The obvious answer is to steal nuclear secrets, since the agency's National Nuclear Security Administration (NNSA) department is in charge of managing and safeguarding the country's nuclear arsenal. According to security experts, the agency's laboratories, where the most sensitive work takes place, have long been targeted by attackers.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

But the breach of the DOE headquarters network in mid-January, which was disclosed in a Friday memo to employees, appeared only to result in the theft of personally identifiable information (PII) pertaining to a few hundred of the agency's employees and contractors. Although a related investigation by the DOE and FBI remains underway, the memo noted that the findings to date indicate that "no classified data was compromised."

[ What is the government doing to crack down on cyber break-ins? Read FBI Expands Cybercrime Division. ]

Why would attackers target PII for agency employees? Here are six reasons -- some more likely than others -- why attackers might have come gunning for employee data:

1. Spies Seeking Nuclear Secrets

The story of the DOE breach was first reported by the Washington Free Beacon, which noted that the NNSA manages, secures and designs the country's nuclear arsenal. But it offered no evidence that the NSSA was targeted, and again, the DOE said its investigators found no evidence that attackers accessed any classified information.

Other news outlets trumpeted that China was a possible suspect in the attacks, which isn't news -- and hasn't been substantiated. Furthermore, if a foreign government was involved, there are many more candidates than just China. "China is the noisiest -- the government officials who are fully briefed in on the threat will tell you that several other countries' cyber attacks are equally worrisome but much more clandestine," said Alan Paller, director of research for the SANS Institute, via email.

2. Intelligence Services Out To Catalog Real Identities

If a foreign intelligence service was behind the attack, then it was likely meant to gain a foothold in the DOE's network, and then allow attackers to spread malware to other DOE systems. Alternately, the information could be used for more hands-on types of espionage. "Let's suppose the hackers were from China," said Sean Sullivan, security advisor at F-Secure Labs, via email. "In that case, they may very well be interested in the PII to facilitate real-world spying -- a lot of which still goes on. You need to know names and addresses in order to target somebody with a seductress."

3. Prepping Spear-Phishing Attacks

Or, the personnel information could be used to create more personalized spear-phishing attacks. These use emails that appear to be legitimate to trick users into opening malicious attachments, which then infect the targeted system and allow data to be stolen from the PC, as well as use the infected system as a springboard for infecting other servers and PCs.

Thanks to modern-day crimeware toolkits, attackers can repack their malware to vary its appearance, thus helping to bypass signature-based antivirus defenses. In the attack against The New York Times that came to light last week, for example, attackers launched 45 malicious files at newspaper PCs over a three-month period, and only saw one piece of malware get stopped and blocked by the Symantec antivirus software used by the Times.

 1 | 2  | Next Page »


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.