Big Data. Big Decisions
InformationWeek
Special Coverage Series


Smartphone Invader Tracks Your Every Move

Carrier IQ software, installed on more than 141 million mobile phones, tracks GPS location, websites visited, search queries, and all keys pressed.

10 Companies Driving Mobile Security
10 Companies Driving Mobile Security
(click image for larger view and for slideshow)
Software on many smartphones is tracking every move and website visited, without the knowledge of the phone's user. And that information is being collected by a little known company, which could be sharing it with law enforcement agencies without requiring a subpoena and without keeping a record of the query.

That's among the conclusions that can be drawn from the discovery of a rootkit that's running on a number of Verizon and Sprint phones, which tracks not just phone numbers dialed, but also the user's GPS coordinates, websites visited, keys pressed, and many website searches, according to security researcher Trevor Eckhart. He discovered the rootkit after tracing suspicious network activity in a data center that he manages, and which he suspected related to a virus infection.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

But he traced the activity back to software made by Carrier IQ, which describes its "mobile service delivery" software as being a tool for measuring smartphone service quality and usage using software embedded in handsets. "The Carrier IQ solution gives you the unique ability to analyze in detail usage scenarios and fault conditions by type, location, application, and network performance while providing you with a detailed insight into the mobile experience as delivered at the handset rather than simply the state of the network components carrying it," according to the website.

[ Security is always a battle, but sometimes the good guys forge ahead. Read Duqu Malware Detection Tool Released. ]

Carrier IQ software runs on 141 million handsets. In the United States, it ships installed by default on many handsets sold via Sprint and Verizon, and runs on a number of platforms, including Android, BlackBerry, and Nokia smartphones and tablets. Rather than carriers using Carrier IQ software to collect data and then store it themselves, it appears that Carrier IQ handles both the data collection and related analytics. According to the company's privacy and security policy, "information transmitted from enabled mobile devices is stored in a secure data center facility that meets or exceeds industry best practice guidelines for security policies and procedures." The policy doesn't detail those policies and procedures.

Eckhart said in an interview that the software is often configured by carriers to hide its presence from users. That means it functions per the Wikipedia definition of a rootkit: "Software that enables continued privileged access to a computer while actively hiding its presence from administrators by subverting standard operating system functionality or other applications." The software, however, doesn't have to be stealthy. Eckhart said that the default version of Carrier IQ "makes its presence known by putting a checkmark in the status bar," and can generate surveys if calls get dropped or browsers crash unexpectedly, to help engineers identify the underlying problem.

Still, after reviewing public-facing training videos he found online, Eckhart said he was alarmed to see just how much data was being gathered by Carrier IQ, and how easily it could be searched en masse--all of which makes him suspicious about how the data is being used. "If this was just legit use, say monitoring dropped calls, why would all on/off switches be stripped and made completely invisible? Users should always have an option to 'opt-in' to a program. There are obviously other uses," he said. "It is a massive invasion of privacy."

Carrier IQ makes the information it collects available to its customers via a portal. Eckhart said in a blog post that "from leaked training documents we can see that portal operators can view and [search] metrics by equipment ID, subscriber ID, and more." As a result, anyone with access to the portal can "know 'Joe Anyone's' location at any given time, what he is running on his device, keys being pressed, applications being used," he said.

Carrier IQ spokeswoman Mira Woods said, "Our customers select which metrics they need to gather based on their business need--such as network planning, customer care, device performance--within the bounds of the agreement they form with their end users. These business rules are translated into a profile, placed on the device which provides instructions on what metrics to actually gather."

She said that all collected data gets transmitted by Carrier IQ to carriers using a "secure encrypted channel," at which point they typically use it for customer service or analyzing network performance. "The further processing or reuse of this data is subject to the agreement formed between our customer and their end user (of the mobile device) and the applicable laws of the country in which they are operating," she said.

One concern for privacy advocates, however, is that carriers apparently share information of the type collected by this software freely with law enforcement agencies. Notably, research published by privacy expert Christopher Soghoian in 2009 found that Sprint had shared customers' GPS location information with law enforcement agencies more than 8 million times over a 13-month period. Sprint had also developed tools to automatically fulfill the large volume of law enforcement agency requests, which seem to occur in a legal gray area that results in none of the requests or shared data queries being recorded.

 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.