People in glass houses shouldn’t brick phones. But that’s what Apple did to thousands of iPhone owners in September. Let’s take a closer look at this textbook example of two wrongs making for a really bad situation, from which no one emerged victoriously.
First, we have iPhone owners who wanted to either install application software of their choosing on their devices and/or unlock their devices to use on a different mobile carrier. It’s pretty likely we’ve all heard or read about the iPhone hacking that took place. The attackers are playing a game of cat-and-mouse that appears to be doing what they intended.
Second, we have Apple trying to protect their (and AT&T’s) commercial interests by attempting to prevent iPhone owners from doing either of the above. They issued a software patch that “bricked” unlocked iPhones — essentially rendering them unworkable.
From there, things went dreadfully bad, and there are at least a couple of important security lessons that we can learn from in examining things a bit further.
Here we have a mobile device that is owned by and is under complete control of the end users. On the other hand, the vendor is trying to control what can be done on and with the device—essentially a Digital Rights Management (DRM) issue. As is their prerogative, Apple issues software updates and patches from time to time. Among other things, some of these patches have clearly been intended to thwart the efforts of the iPhone hacking community.
Related Articles |
Mozilla Firefox vs. Internet Explorer: Which is Safer? Is the Mac Really More Secure than Windows? |
The problem with this approach, on the other hand, is the state of Apple’s own software security on the iPhone device. The iPhone is built on top of Apple’s Darwin (essentially UNIX) kernel, but it turns out that many of the software security lessons learned in the decades since UNIX’s dawn were largely ignored on the iPhone. For example, all of the applications on the iPhone run in a privileged (root) state on the device.
That is a precarious position to be in if their adversaries find even one software glitch…which they did.
At least one of the defects the iPhone hackers used was a vulnerability in the iPhone’s Mobile Safari web browser — a vulnerability that had been previously patched in Apple’s desktop version of the Safari browser at least a year prior. The vulnerability, a TIFF graphics rendering buffer overflow, gave away direct file system read and write access to the attackers. Had the browser been running as a normal user or (better still) in a “sandbox,” the same buffer overflow wouldn’t have been quite so catastrophic for Apple.
So, putting aside the political aspects of this battle and focusing on the technical ones, it seems that Apple was in a largely impossible situation. On one hand, they wanted to protect their intellectual property, but on the other, their own software security actions made that impossible.
What lessons can we learn from this that apply to more general circumstances? I can think of several:
• Don’t trust the client. I’ve discussed this one here more than once. The client, in this case the iPhone device itself, is under the control of its owners. The extent that they will go to in order to alter their devices is nearly limitless. At least, I don’t think we’ve seen what the limit is yet.
• If you’re going to try to restrict client activities, you’d better have your own software security in order. Bricking people’s phones is tantamount to a launching a volley across the bow of your adversary. It’s a deliberate and unfriendly action to take. Even if you agree with their right to do this, it’s a major escalation. If you’re not prepared for what your adversary will do next, escalating a conflict is not a good idea. Didn’t we learn that on the elementary school playground?
• Today’s mobile devices more closely resemble general-purpose computers than they do the old “dumb” phones of the past. We’ve got to treat their software like we should the software on a general-purpose computer. Those old security principles that Saltzer and Schroeder taught us in the 1970’s really do turn out to be important! The principle of least privilege, in particular, should have been applied judiciously here. Shame on Apple.
We are left with a situation that annoyed many customers and didn’t accomplish what the vendor tried to do. That’s quite a comprehensive failure from where I sit. Now, it seems that the situation is improving a little bit, with Apple announcing an upcoming software development kit that will open up iPhone application software to other developers. Clearly, this is a good step in the right direction. Let’s hope they’ve made use of some of UNIX’s security mechanisms by then.
Let’s further hope other product vendors have been paying close attention to this and won’t make the same silly mistakes in the future. But don’t ask me to take that bet.
Ethics and Artificial Intelligence: Driving Greater Equality
FEATURE | By James Maguire,
December 16, 2020
AI vs. Machine Learning vs. Deep Learning
FEATURE | By Cynthia Harvey,
December 11, 2020
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2021
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.