Big Data. Big Decisions
InformationWeek
Special Coverage Series


Anonymous Investigators Probe Reuters Reporter, Sabu

Feds indict Reuters social media editor for allegedly helping hacktivist group Anonymous -- and LulzSec leader Sabu -- deface the Los Angeles Times website.

Anonymous: 10 Things We Have Learned In 2013
Anonymous: 10 Things We Have Learned In 2013
(click image for larger view and for slideshow)
Reuters employee Matthew Keys, 26, was indicted Thursday by a federal grand jury for allegedly enabling the hacktivist group Anonymous to hack into the computers of Tribune Co.

According to the indictment, Keys, formerly a Web producer for Tribune Co.-owned television station KTXL Fox 40 in Sacramento, Calif., shared a username and password with members of Anonymous, which enabled them to log onto Tribune's content management system (CMS) and change a Los Angeles Times news story.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

But Keys' attorney, Jay Leiderman, told The Huffington Post that his client was working undercover while reporting a story. "This is sort of an undercover-type, investigative journalism thing, and I know undercover -- I'm using that term loosely," he said. "This is a guy who went where he needed to go to get the story. He went into the sort of dark corners of the Internet. He's being prosecuted for that, for going to get the story."

[ Who hacked Michelle Obama? Read Celeb Data Breach Traced To Credit Reporting Site. ]

Prosecutors, however, alleged that Keys' actions went beyond reporting, and charged him with three criminal accounts: conspiracy to damage a protected computer, transmission of malicious code -- or information that could be used for such a purpose -- and attempted transmission of malicious code. The three charges together carry a maximum penalty of 25 years imprisonment and $750,000 in fines.

According to chat logs cited in the indictment, someone using the nickname "AESCracked" in December 2010 told participants in the #InternetFeds IRC channel -- Internet Feds was a precursor to LulzSec and Anonymous, and members of those groups as well as AntiSec and Gnosis frequented the channel -- who had expressed a desire to access a Fox website, that he was a former Tribune employee. He later shared a working username ("anon1234") and password with members of the IRC channel, then told them to "go [expletive] some [expletive] up."

When told that the Los Angeles Times had been defaced, AESCracked replied, "nice," according to a Department of Justice statement.

After Tribune canceled the anon1234 account -- less than a half hour after it was used -- a user nicknamed "sharpie" asked AESCracked via the #InternetFeds IRC channel for more usernames and passwords, to continue the defacement campaign. "Let me see if I can find some other users/pass I created while there," said AESCracked. "It takes a while to grant one username permission to every site. I'm doing that now," he said, apparently referring to Tribune using the same content management system for both the Los Angeles Times and Fox 40.

The indictment alleged that Keys was AESCracked. Sharpie, meanwhile, turned out to be one of the nicknames used by Hector Xavier Monsegur, a.k.a. LulzSec leader Sabu, who was arrested by the FBI in June 2012 and turned informer.

 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.