Keep in mind botnets that large are comprised largely of IoT devices which have 
very little processing power compared to the massive multi-core, high 
frequency, high memory bandwidth (this is especially important for 
cryptographic operations) CPUs in data centers. It doesn’t take much processing 
power to launch DDoS attacks so that’s why IoT is perfect for botnets. Those 
botnets which have desktop grade systems are also comprised of typically older 
machines that go unpatched and do not have high end server CPUs or GPUs. A 
botnet is also not going to get you the high end GPUs you need for phase 2. 
Generally the people with hardcore GPUs are gamers and workstation users that 
push those GPUs. They're going to notice the GPUs being utilized abnormally. 

On top of that, the calculations they did were for a stupidly simple document 
modification in a type of document where hiding extraneous data is easy. This 
will get exponentially computationally more expensive the more data you want to 
mask. It took nine quintillion computations in order to mask a background color 
change in a PDF.

And again, the main counter-point is being missed. Both the good and bad 
documents have to be brute forced which largely defeats the purpose. Tthose 
numbers of computing hours are a brute force. It may be a simplified brute 
force, but still a brute force. 

The hype being generated is causing management at many places to cry exactly 
what Google wanted, “Wolf! Wolf!”.

> On Mar 1, 2017, at 6:22 PM, valdis.kletni...@vt.edu wrote:
> 
> On Wed, 01 Mar 2017 15:28:23 -0600, "james.d--- via NANOG" said:
> 
>> Those statistics are nowhere near real world for ROI. You'd have to invest
>> at least 7 figures (USD) in resources. So the return must be millions of
>> dollars before anyone can detect the attack. Except, it's already
>> detectable.
> 
> *Somebody* has to invest 7 figures in resources.  Doesn't have to be you.
> 
> Remember that if you have access to a 1M node botnet, you could have 
> 56,940,000
> hours of CPU time racked racked up in... under 60 hours.
> 

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