Big Data. Big Decisions
InformationWeek
Special Coverage Series


iOS 4 Hardware Encryption Cracked By Forensics Firm

The iPhone 4 is at risk, but the forensics tool will only be sold to law enforcement, intelligence agencies, and forensics investigators.

Slideshow: Apple iPhone 4, A True Teardown
Slideshow: Apple iPhone 4, A True Teardown
(click for larger image and for full slideshow)
Russian digital forensics toolmaker Elcomsoft said that it's the first forensics company to have successfully cracked the data security scheme of the iPhone 4. What that means is that digital forensic investigators will be able to circumvent, in many cases, the hardware-based encryption introduced by Apple with iOS 4.

Elcomsoft, however, said that its related tool for cracking iPhone 4 encryption, released Monday, will only be made available to law enforcement agencies, intelligence agencies, and professional forensic investigators.

Why the one-year lag between the first release of iOS 4, and tools able to retrieve data from such devices? According to a blog post from Elcomsoft CEO Vladimir Katalov, his company "found a way to decrypt bit-to-bit images of iOS 4 devices. Decrypted images are perfectly usable, and can be analyzed with forensic tools such as Guidance EnCase or AccessData FTK--or any other tool which supports raw drive images and HFS+ file system."

Before iOS 4, he said, it was relatively easy to recover data from Apple iPhone, iPod Touch, and iPad devices by taking a bit-level snapshot of the devices' file system--akin to making a disk image or converting a DVD into an ISO file. But with iOS 4, Apple introduced hardware-based encryption, meaning that even though the file system can still be recovered, it's useless without knowing the encryption key.

To successfully extract data off of a device, an investigator must also have physical access to it until the data is decrypted. "Decryption is not possible without having access to the actual device because we need to obtain the encryption keys that are stored in (or computed by) the device and are not dumped or stored during typical physical acquisition," said Katalov.

The information that can be recovered from an iOS 4 device is limited, however, unless a forensic investigator (or attacker) recovers the passcode for the device. Accordingly, one of the best ways to protect an iOS 4 device is to disable its "simple password" setting and to use a long, complex password that can't be guessed via dictionary attacks, since this makes it extremely difficult or even impossible to brute-force the password.

Interestingly, Elcomsoft's announcement parallels the release of new research that details iOS 4 data security protections. Security researchers Jean-Baptiste Bedrune and Jean Sigwald, who work at IT services company Sogeti, last week presented a paper at the Hack In The Box conference in Amsterdam that details security changes to iOS 4, as well as how to crack them.

They also released free tools to create a copy of the RAM disk for forensic purposes, decrypt iTunes backups (slowly, they said), and to brute-force simple passwords that contain four digits or fewer, in 20 minutes or less.

According to the researchers' presentation overview, "using the built-in iOS functions--that use the passcode--you can actually brute-force the passcode of the phone with a small application on the phone. If you boot the phone from a RAM disk you can do this without knowing the passcode. Using the brute-forced passcode, the Keychain can be read and decrypted."

Andrey Belenko, a security researcher at Elcomsoft, said his company's research occurred separately from the Sogeti researchers' investigations. "We did our research on our own," he said in a blog post. In addition, "our set of tools uses [a] somewhat different approach, which we believe allows for greater flexibility and compatibility."

Innovative IT shops are turning the mobile device management challenge into a business opportunity--and showing that we can help people be more connected and collaborative, regardless of location. Read the new report from InformationWeek Analytics. Download it now. (Free registration required.)



Related Reading


More Insights




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.