Big Data. Big Decisions
InformationWeek
Special Coverage Series

Commentary

Ed Hansberry

10 Combinations Dominate iPhone Passwords

1234 is not a strong password, iPhone users: But it's the top choice, new data reveals.

It is a good idea to set a PIN code to lock your phone in the event it is lost or stolen. The thief still has your phone, but if you've configured the iPhone properly, the memory will be wiped clean after 10 wrong attempts. Since a four-digit code allows for 10,000 combinations, finding that in ten tries yields only a 0.1% chance of success. Those sound like pretty good odds until you realize that 14.4% of pass codes are clustered around just 10 PIN code combinations.

Daniel Amitay has an app called Big Brother Camera Security that takes a picture of anyone using your iPhone 4, thanks to the front-mounted camera, without your permission. He recently updated the app to phone home with the PIN codes its users had chosen. He says it records the data anonymously. There is a nice little irony that the software installed to spy on unauthorized users is also spying on these who installed the software.

More Insights

Webcasts

More >>

White Papers

More >>

Reports

More >>

He collected 204,508 pin codes and has them graphically represented at his site. "1234" was the most common code used and chosen by 4.3% of users. The next biggest was "0000" picked by 2.6%. If you using one of those two, you aren't even trying. You might as well put the home's front door deadbolt lock on backwards so the handle is on the outside.

The top 4 codes represented 10.8% together, so any thief with an ounce of sense will try those before moving on to harder to guess numbers. He is likely to unlock one in 10 phones with those odds.

The tenth most common code is "1998" which is probably the year some of these 12 or 13 year old iPhone 4 toting pre-teens were born. Years in general are a bad idea, unless it is a Stardate, which would be harder to guess. Years in the 1990's were over twice as likely to be used as those in the 1980's, so if the thief knows you or can make an educated guess about your age as they pilfer the phone from your bag, they have a significantly higher chance of gaining access to your data if you use your birth year.

If you are using any of the codes Daniel discovered, your birth year, the year you purchased the phone, or this year, change it immediately. Select an entirely random number and then proceed to do the same thing with any other system that has a PIN code, such as your ATM card, alarm system or keyless entry for your car.

To be really secure, you should consider turning off the simple four digit PIN code and use a real password. The possible combinations go from 10,000 to billions.



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.