Rational Survivability

Allow me to immediately state that I am, in no way, attempting to blame or shame the victim in my editorial below.

However, the recent rash of commentary from security wonks on Twitter and blogs regarding who is to “blame” in Mat Honan’s unfortunate experience leaves me confused and misses an important point.

Firstly, the title of the oft-referenced article documenting the series of events is at the root of my discontent:

“How Apple and Amazon Security Flaws Led to My Epic Hacking“

As I tweeted, my assessment and suggestion for a title would be:

How my poor behavior led to my epic hacking & flawed trust models & bad luck w/Apple and Amazon assisted

…especially when coupled with what is clearly an admission by Mr. Honan, that he is, fundamentally, responsible for enabling the chained series of events that took place:

In the space of one hour, my entire digital life was destroyed. First my Google account was taken over, then deleted. Next my Twitter account was compromised, and used as a platform to broadcast racist and homophobic messages. And worst of all, my AppleID account was broken into, and my hackers used it to remotely erase all of the data on my iPhone, iPad, and MacBook.

In many ways, this was all my fault. My accounts were daisy-chained together. Getting into Amazon let my hackers get into my Apple ID account, which helped them get into Gmail, which gave them access to Twitter. Had I used two-factor authentication for my Google account, it’s possible that none of this would have happened, because their ultimate goal was always to take over my Twitter account and wreak havoc. Lulz.

Had I been regularly backing up the data on my MacBook, I wouldn’t have had to worry about losing more than a year’s worth of photos, covering the entire lifespan of my daughter, or documents and e-mails that I had stored in no other location.

Those security lapses are my fault, and I deeply, deeply regret them.

The important highlighted snippets above are obscured by the salacious title and the bulk of the article which focuses on how services — which he enabled and relied upon — however flawed certain components of that trust and process may have been, are *really* at the center of the debate here.  Or ought to be.

There’s clearly a bit of emotional transference occurring.  It’s easier to associate causality with a faceless big corporate machine rather than swing the light toward the victim, even if he, himself, self-identifies.

Before you think I’m madly defending and/or suggesting that there weren’t breakdowns with any of the vendors — especially Apple — let me assure you I am not.  There are many things that can and should be addressed here, but leaving out the human element, the root of it all here, is dangerous.

I am concerned that as a community there is often an aire of suggestion that consumers are incapable and inculpable with respect to understanding the risks associated with the clicky-clicky-connect syndrome that all of these interconnected services brings.

People give third party applications and services unfettered access to services like Twitter and Facebook every day — even when messages surrounding the potential incursion of privacy and security are clearly stated.

When something does fail — and it does and always will — we vilify the suppliers (sometimes rightfully so for poor practices) but we never really look at what we need to do to prevent having to see this again: “Those security lapses are my fault, and I deeply, deeply regret them.”

The more interconnected things become, the more dependent upon flawed trust models and the expectations that users aren’t responsible we shall be.

This is the point I made in my presentations: Cloudifornication and Cloudinomicon.

There’s a lot of interesting discussion regarding the effectiveness of security awareness training.  Dave Aitel started a lively one here: “Why you shouldn’t train employees for security awareness”

It’s unfortunate the the only real way people learn is through misfortune, and any way you look at it, that’s the thing that drives awareness.

There are many lessons we can learn from Mr. Honan’s unfortunate experience…I urge you to consider less focusing blame on one link in the chain and instead guide the people you can influence to reconsider decisions of convenience over the potential tradeoffs they incur.

/Hoff

P.S. For you youngsters who don’t get the Soylent Green reference, see here.  Better yet, watch it. It’s awesome. Charlton Heston, FTW.

P.P.S. (Check out the sentiment of all the articles below)

Related articles

• Black cloud looms over Apple online service after high-profile hack
• Security lapses at Apple and Amazon lead to an epic hack. This could be you.
• Apple Responds To Journalist Victim of “Epic” Apple ID Hack
• iCloud attack began with Amazon hack
• Hack reveals Apple, Amazon’s gaping security flaws
• Getting epically hacked sounds lulzy till it happens to you

I’m not sure this makes any sense whatsoever, but that’s why it’s labeled “incomplete thought,” isn’t it? 😉

A few weeks ago I was delivering my Cloudinomicon talk at the Cloud Security Alliance Congress in Orlando and as I was describing the cyclical nature of computing paradigms and the Security Hamster Sine Wave of Pain, it dawned on me — out loud — that we have Apple’s iPhone and its U.S. carrier, AT&T, to thank for the success of Cloud Computing.

My friends from AT&T perked up when I said that.  Then I explained…

So let me set this up. It will require some blog article ping-pong in order to reference earlier scribbling on the topic, but here’s the very rough process:

1. I’ve pointed out that there are two fundamental perspectives when describing Cloud and Cloud Computing: the operational provider’s view and the experiential consumer’s view.  To the provider, the IT-centric, empirical and clinical nuances are what matters. To the consumer, anything that connects to the Internet via any computing platform using any app that interacts with any sort of information is also cloud.  There’s probably a business/market view, but I’ll keep things simple for purpose of illustration.  I wrote about this here:  Cloud/Cloud Computing Definitions – Why they Do(n’t) Matter…
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2. As we look at the adoption of cloud computing, the consumption model ultimately becomes more interesting than how the service is delivered (as it commoditizes.) My presentation “The Future of Cloud” focused on the fact that the mobile computing platforms (phones, iPads, netbooks, thin(ner) clients, etc) are really the next frontier.  I pointed out that we have the simultaneous mass re-centralization of applications and data in massive cloud data centers (however distributed ethereally they may be) and the massive distribution of the same applications and data across increasingly more intelligent, capable and storage-enabled mobile computing devices.  I wrote about this here: Slides from My Cloud Security Alliance Keynote: The Cloud Magic 8 Ball (Future Of Cloud)
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3. The iPhone isn’t really that remarkable a piece of technology in and of itself, in fact it capitalizes on and cannibalizes many innovations and technologies that came before it.  However, as I mentioned in my post “Cloud Maturity: Just Like the iPhone, There’s An App For That… “The thing I love about my iPhone is that it’s not a piece of technology I think about but rather, it’s the way I interact with it to get what I want done.  It has its quirks, but it works…for millions of people.  Add in iTunes, the community of music/video/application artists/developers and the ecosystem that surrounds it, and voila…Cloud.”
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4. At each and every compute paradigm shift, we’ve seen the value of the network waffle between “intelligent” platform and simple transport depending upon where we were with the intersection of speeds/feeds and ubiquity/availability of access (the collision of Moore’s and Metcalfe’s laws?)  In many cases, we’ve had to rely on workarounds that have hindered the adoption of really valuable and worthwhile technologies and operational models because the “network” didn’t deliver.

I think we’re bumping up against point #4 today.  So here’s where I find this interesting.  If we see the move to the consumerized view of accessing resources from mobile platforms to resources located both on-phone and in-cloud, you’ll notice that even in densely-populated high-technology urban settings, we have poor coverage, slow transit and congested, high-latency, low-speed access — wired and wireless for that matter.

This is a problem. In fact it’s such a problem that if we look backward to about 4 years ago when “cloud computing” and the iPhone became entries in the lexicon of popular culture, this issue completely changed the entire application deployment model and use case of the iPhone as a mobile platform.  Huh?

Do you remember when the iPhone first came out? It was a reasonably capable compute platform with a decent amount of storage. It’s network connectivity, however, sucked.

Pair that with the fact that the application strategy was that there was emphatically, per Steve Jobs, not going to be native applications on the iPhone for many reasons, including security.  Every application was basically just a hyperlink to a web application located elsewhere.  The phone was nothing more than a web browser that delivered applications running elsewhere (for the most part, especially when things like Flash were’nt present.) Today we’d call that “The Cloud.”

Interestingly, at this point, he value of the iPhone as an application platform was diminished since it was not highly differentiated from any other smartphone that had a web browser.

Time went by and connectivity was still so awful and unreliable that Apple reversed direction to drive value and revenue in the platform, engaged a developer community, created the App Store and provided for a hybrid model — apps both on-platform and off — in order to deal with this lack of ubiquitous connectivity.  Operating systems, protocols and applications were invented/deployed in order to deal with the synchronization of on- and off-line application and information usage because we don’t have pervasive high-speed connectivity in the form of cellular or wifi such that we otherwise wouldn’t care.

So this gets back to what I meant when I said we have AT&T to thank for Cloud.  If you can imagine that we *did* have amazingly reliable and ubiquitous connectivity from devices like our iPhones — those consumerized access points to our apps and data — perhaps the demand for and/or use patterns of cloud computing would be wildly different from where they are today. Perhaps they wouldn’t, but if you think back to each of those huge compute paradigm shifts — mainframe, mini, micro, P.C., Web 1.0, Web 2.0 — the “network” in terms of reliability, ubiquity and speed has always played a central role in adoption of technology and operational models.

Same as it ever was.

So, thanks AT&T — you may have inadvertently accelerated the back-end of cloud in order to otherwise compensate, leverage and improve the front-end of cloud (and vice versa.)  Now, can you do something about the fact that I have no signal at my house, please?

/Hoff