Welcome!

Cloud Security Authors: Zakia Bouachraoui, Pat Romanski, Elizabeth White, Yeshim Deniz, Liz McMillan

Related Topics: @CloudExpo, Cloud Security

@CloudExpo: Article

Amazon Launches High Performance Cloud – Hackers in Love

New service enables ultrafast number crunching (and password cracking)

Calling it a "nuclear-powered bulldozer", yesterday, Amazon announced and blogged about its newest cloud infrastructure service, the "Cluster GPU Instance", which delivers supercomputer calculation power for as little as $2.10 per hour.  The new instance type employs the same NVIDIA Tesla processor used in three of the five fastest supercomputers.  It is rated at 515 gigaflops (515 billion double-precision floating point calculations per second) and each Amazon instance employs two of them, giving each instance more than one teraflop of processing power.  Amazon further allows instances to be clustered "up through and above 128 nodes" for even more power. 

Theoretically, a 128-node cluster of the new Amazon EC2 instances would qualify as the 50th fastest computer in the world.  The new instance type enables a wide variety of calculation-intensive workloads for applications that include energy exploration, weather prediction, graphics rendering, and video transcoding.  And, oh, it is also good for enabling encryption code breaking and identity theft.


Amazon CTO Werner Vogels spoke at both 1st and 2nd Cloud Expos

I doubt Amazon's founder Jeff Bezos or its web services evangelist Jeff Barr are feeling like Oppenheimer did when he witnessed the first test of his creation, the atom bomb, and famously quoted Hindu scripture about becoming "the destroyer of worlds", but maybe they should feel that way.  This is a big moment for good and evil.

First, the Good

Not long ago, computing power of this magnitude was a very precious resource, only available to the large, well-funded companies, government agencies, and academic institutions who could afford to buy and manage expensive supercomputers from companies like Cray and IBM.

Then, things started to change with the growth of computer gaming, scientific visualization, computer animation, and media streaming, which drove the development and volume production of processing chips called "graphics processing units" (GPUs) by companies like NVIDIA and ATI.

In their namesake application of graphics processing, GPUs perform the complex "floating point" decimal arithmetic needed to render and manipulate highly detailed graphics and photorealistic computer-generated imagery, or "CGI".  (Conventional CPU chips, like the x86, ARM, and others, can only perform integer arithmetic "in hardware", making them ill-suited for efficient graphics processing.)

But, there are many other, non-graphical applications that also require floating point calculations and it was not long before GPUs were being used as mathematical co-processors in high-end scientific workstations and aggregated in servers.  Although they are much cheaper than first-generation super computers, these systems are still quite expensive, with workstations costing $10K and up and servers going for multiples of that.

Yesterday that all changed.  Now the tiniest company, even the lone quant, can have the same computational power, for as little as $2.10 per hour, with no up-front investment and access from anywhere in the world.

Amazon Cluster GPU Instances can lower the cost and accelerate the progress of fighting famine and disease, building safer, more fuel efficient vehicles and aircraft, finding and exploiting new sources of energy, and, of course, producing breathtaking visual entertainment.  We have not yet begun to imagine the new businesses and research projects this kind of cloud computing will make possible.

In their blog entry entitled "A Couple More Nails in the Coffin of the Private Compute Cluster" large scale computing specialists Cycle Computing provide a very detailed picture of how they have used this technology to build a value-added computation service in the Amazon public cloud to support these kinds of applications.

And, that is definitely all good.  But, every innovation has a dark side and this is no exception.

Then, the Evil

At the same time as Amazon was announcing the general availability of the EC2 Cluster GPU Instance, German programmer Thomas Roth, writing on his Stacksmashing.net blog, was showing how he used it to create a password "hash cracker" that could crack a six character password in 49 minutes ($1.71 to Amazon.)

The password he cracked was one that used the SHA1 hashing scheme designed by the National Security Agency and published by NIST as a Federal Information Processing Standard.  In 2005, SHA1 was found to contain a mathematical weakness that could enable security vulnerabilities and was deprecated accordingly, but not before it came to be employed in a number of widely-used security applications and protocols.  His cracker could also be used against MD5/4 and NTLM security protocols.  Like SHA1, these protocols have been deprecated or replaced, due to similar vulnerabilities, but, also like SHA1, only after becoming widely deployed.

So, the password Roth cracked so quickly was short and encrypted with a deprecated method, correctly suggesting that it would have been much more difficult to use the Amazon service to crack a longer, better encrypted password.  But, remember, he only used one cluster node and he was just fooling around.  He seems nonplussed about how hard it might be to take it further.

"This just shows one more time that SHA1 for password hashing is deprecated.  You really don't want to use it anymore!  Instead, use something like scrypt or PBKDF2!  Just imagine a whole cluster of this machines (Which is now easy to do for anybody thanks to Amazon) cracking passwords for you, pretty comfortable.  Large scaling password cracking for everybody! [...]

"If I find the time, I'll write a tool which uses the AWS-API to launch on-demand password-cracking instances with a preconfigured AMI. Stay tuned either via RSS or via Twitter."

I am not sure what color this guy's hat is, but his sang froid is unsettling.  And, Amazon says that users can expect these clusters to scale at about 90% efficiency, and developers can expect the availability soon of a variety of programming aids that will simplify the process of exploiting and scaling the GPU clusters.  So, Mr. Roth is not vamping.

Don't Be Shiva

Again, every innovation has its dark potential.  In this case, the innovation is not technical; GPUs have been used for nefarious purposes of the above kind for years.  This is an economic innovation that takes considerable cost and time out of a kind of criminality that can be extremely rewarding - identity and data theft.   It cannot be stopped any more than digital piracy or other forms of highly-leveraged electronic misbehavior, it can only be slowed down, and only if Amazon and others like them drive against it.  Will they?

I'm not sure what it will take to make sure that Amazon doesn't let their new yellow cake get into the wrong hands, but I suspect it will more likely be a result of regulation or litigation after a disaster than of altruistic foresight before trouble strikes.  As I mentioned in my article, SMB Cloud is a Hacker's Paradise a few months back, large cloud services providers, including Amazon, have so far not demonstrated striking speed and initiative in getting and staying ahead of the bad guys, whose resolve for mischief and mayhem is boundless.

Optimism is no defense.  One of the main reasons cyber-crime is so out of control now is that the World Wide Web was built on a foundation of magical thinking in the form of the fraternal optimism of academics.  As bad as security risks have been in the Web 1.0 era, despite the definite improvements in prevention and hygiene that have been made, they still may pale by comparison with what could be coming.  Cloud computing has multiplied many good things, like cost savings and business agility, by 1-2 orders of magnitude.  It can do the same for many bad things, if we let it.  Let's not let it.

More Stories By Tim Negris

Tim Negris is SVP, Marketing & Sales at Yottamine Analytics, a pioneering Big Data machine learning software company. He occasionally authors software industry news analysis and insights on Ulitzer.com, is a 25-year technology industry veteran with expertise in software development, database, networking, social media, cloud computing, mobile apps, analytics, and other enabling technologies.

He is recognized for ability to rapidly translate complex technical information and concepts into compelling, actionable knowledge. He is also widely credited with coining the term and co-developing the concept of the “Thin Client” computing model while working for Larry Ellison in the early days of Oracle.

Tim has also held a variety of executive and consulting roles in a numerous start-ups, and several established companies, including Sybase, Oracle, HP, Dell, and IBM. He is a frequent contributor to a number of publications and sites, focusing on technologies and their applications, and has written a number of advanced software applications for social media, video streaming, and music education.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


IoT & Smart Cities Stories
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...