Big Data. Big Decisions
InformationWeek
Special Coverage Series


Cyber Crooks Target Healthcare For Financial Data

Identity thieves looking for a quick buck often don't even know they are attacking healthcare organizations, Verizon investigation finds.

Health Data Security: Tips And Tools
Health Data Security: Tips And Tools
(click image for larger view and for slideshow)
Contrary to conventional wisdom, the vast majority of hackers targeting healthcare IT systems are searching for financial information, not snooping for personal health data or targeting individuals, a new study suggests. That, according to Verizon Communications research, makes healthcare not much different than any other industry.

"While blackmailing patients and hacking pacemakers are common hand-waving examples used by some to stress the importance of protecting medical records, the actual threat landscape is much more in line with run-of-the-mill cybercrime seen in other industries. The vast majority of attackers seek information from which they can directly or indirectly profit," reads the 2012 Verizon Data Breach Investigations Report, released Wednesday morning.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

Additionally, criminals tend to target smaller organizations--think physician and dental practices with fewer than 100 employees rather than hospitals--and look for the easiest electronic defenses to exploit. In many cases, they go after credit/debit card readers, otherwise known as point-of-sale (POS) terminals, the Verizon RISK (Research Investigations Solutions Knowledge) Team, which has been collecting data on breaches since 2004, reported.

"POS systems and desktops were at the forefront of breaches in the healthcare sector. At first glance, this may seem counterintuitive, since electronic health records would almost certainly be stored in a file or database server, and surely this is what the criminals are after. But this likely represents an incorrect assumption; most cybercriminals are more interested in accessing your bank account and applying for loans in your name than they are the details of your last medical exam," the report said.

[ Practice management software keeps the medical office running smoothly. For a closer look at KLAS' top-ranked systems, see 10 Top Medical Practice Management Software Systems. ]

"Their MO is to scan large areas of the Internet to see if there are portals left open," Mark Spitler, one of the report's authors, told InformationWeek Healthcare. The card terminal is the "weakest link," according to Spitler, and once a thief is in, it is easy to move laterally among systems if the server is part of a "flat" network.

POS servers might list the name of the hardware vendor, and more than a few end users just go with the manufacturer's default password, making the system easy to crack, Spitler explained. "In the majority of cases, the attacker gained initial access by exploiting default or guessable credentials, usually via Internet-facing remote access services," the report said.

The Verizon healthcare report focused on about 60 confirmed breaches over the past two years in healthcare and social services. Almost all the attacks involved both hacking and the introduction of malware into the host system, and 95% of security threats against healthcare entities came from external sources, Verizon reported.

Spitler explained that the typical lost laptop or USB drive responsible for so many compromised healthcare records does not fall into Verizon's definition of a data breach investigation because victims in such cases rarely call in forensic investigators.

Since late 2009, healthcare organizations have been required to report any breaches affecting at least 500 people to the U.S. Department of Health and Human Services (HHS), the affected individuals, and, in some cases, news media.

Health data is not usually the primary target in the kinds of breaches involving forensic investigators, Spitler said, but it can be involved. "[Criminals] don't know if it's a physician office or a retail location," Spitler explained. "They're looking for one that's open to the Internet and with weak security credentials."

Although thieves might not know if they have hit a medical practice, protected health information--the kind of data covered by Health Insurance Portability and Accountability Act (HIPAA) privacy and security regulations--often is not segmented from other databases, according to the Verizon security analyst. "We do get cases where PHI is at risk," he said.

To protect against such threats, Spitler first recommended putting a firewall in front of the POS server so nobody can access the system from an outside IP address. "No. 2, just change the password," he added.

The healthcare security analysis is part of a series of industry-specific "snapshots" Verizon released Wednesday. In addition to healthcare, the telecommunications giant examined data breaches in retail, hospitality, and financial services, and issued a report on theft of intellectual property.

Intellectual property does not seem to be what criminals are targeting in healthcare. "That was one of the most interesting things we found when we pulled out healthcare data," Spitler said.

InformationWeek Healthcare brought together eight top IT execs to discuss BYOD, Meaningful Use, accountable care, and other contentious issues. Also in the new, all-digital CIO Roundtable issue: Why use IT systems to help cut medical costs if physicians ignore the cost of the care they provide? (Free with registration.)



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.