Oh $DIETY, can I borrow that first paragraph?

There are auction sites where you can buy free email addresses by the thousands 
for a single digit number of dollars.
CAPTCHAs have been thoroughly PWNed.

Even SMS tokens can be gamed if you are not very, very careful.

Aloha,
Michael.
-- 
Michael J Wise | Microsoft | Spam Analysis | "Your Spam Specimen Has Been 
Processed." | Got the Junk Mail Reporting Tool ?

-----Original Message-----
From: mailop [mailto:mailop-boun...@mailop.org] On Behalf Of Rich Kulawiec
Sent: Sunday, May 29, 2016 11:29 AM
To: mailop@mailop.org
Subject: Re: [mailop] signup form abuse

On Fri, May 27, 2016 at 11:07:44AM -0700, Jay Hennigan wrote:
> CAPTCHA could potentially fix it, but that is sure to raise objections 
> as being too inconvenient for list operators playing the numbers game.

Captchas are also not a valid anti-abuse mechanism: they have been quite 
thoroughly beaten and are only used today by those who have failed to pay 
attention to adversarial progress over the last 10-15 years.

Resources are either targets for abuse or they're not; adversaries are either 
competent and well-resourced or they're not.  In the case where resources *are* 
targets and adversaries *are* competent/well-resourced, they will defeat 
captcha mechanisms at will using either automated, manual, or hyrid techniques. 
 In the other three cases, captchas aren't necessary, either because the 
resource isn't being targeted, or adversaries aren't capable, or both.

Moreover, we have long since passed the point on the curve where "captchas that 
be successfully attacked" became harder than "captchas that can be solved by 
most humans".

Having worked on this problem extensively, I've found that other measures are 
much more effective, predictable, stable under load, and diagnosable
-- depending on the use case, of course, and one size does not fit all.
The key, as it so often is with any anti-abuse measure, is to carefully study 
one's own log files and understand (qualitatively and quantitatively) what 
"normal" looks like and what "abnormal" looks like.  Lots of people skip this 
analysis in their haste to deploy "solutions" and thus don't actually 
understand the the nature of their problem(s).  This inevitably results in poor 
outcomes.

---rsk

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