Disassembling the Woolworths Facebook scam
troyhunt.com
troyhunt.com
What annoys me most about this is the scam is only spread through exploiting human nature and not advanced technology. The code is literally almost exactly the same each time yet nothing has been done by Facebook to prevent it. Fingerprinting this is certainly not impossible (every example I've seen is formulaic and even starts the counter at 973) and I'm surprised Facebook doesn't have an advanced spam fighting arsenal that's effective against it.
Does anyone know what tools they use to combat this sort of thing? Machine learning would work really well here considering numerous past examples and the fact you're only interested in links that are spreading virally. Even if you needed a human being for final confirmation before blocking the site, you'd knock out a link once and it'd positively impact tens of thousands of people. I'd be shocked if using bit.ly and a few other obvious spammy redirects was all you needed to trick Facebook...
In cases like this, you're right that there are often obvious content patterns. However, enforcing on or detecting those doesn't really scale, as they're trivial for the attacker to change. Instead, we try to focus on aspects of an attack that are much more expensive for the attacker to change. One component of our systems that detect this does involve looking at metadata about URLs, and running it through some machine learned classifiers (you're correct that simply using bit.ly is insufficient to stop us).
Regardless, we've taken care of this particular instance of the attack and are always working to systematically improve our detection and mitigation systems. Let me know if you're interested in helping us out in this effort!
When scammers and phishers learn to put together a semi respectable design or even simply copy the designs they are trying to imitate more precisely they would be far more successful.
perhaps people more readily identify with a site written with the same spelling and grammar mistakes they use, and trust the site more over those "educated" sites where "proper grammar" and "correct spelling" are just lorded over you and rubbed in your face. the crap website might be a kind of kindred spirit, just waiting to befriend the intellectually downtrodden.
Although it doesn't entirely answer your question, you might find this paper to be interesting: "Why do Nigerian Scammers Say They are from Nigeria?" http://research.microsoft.com/pubs/167719/whyfromnigeria.pdf
2011 Scam report by Australian Government is here: http://www.accc.gov.au/content/index.phtml/itemId/1039349 I've passed your research onto the authors of this report, thanks for sharing it.
But a marketeer I recommend looking at scam email/ads from a professional POV. Quite often they are great examples of marketing and how to communicate effectively. Just please apply this to a more honest motive.
This style of advertising called "incentivized co-registration" (co-reg / co-reg path) (1) has been a long running plague - as far back as 2008 the FTC penalized ValueClick ~$3m (2) for this exact same thing as it's deceptive.
On the front-end you've got Facebook, Microsoft, and Google (to name a few) making money hand over fist letting these co-reg paths buy their media.
(As an aside Bing is well known to be the loosest with regulating compliant advertising which is just sad given that it impacts the MSFT brand.)
On the back-end you've got brands like Netflix, Nokia, Guiness, GAP, etc etc that lend themselves to being on the co-registration path and offering a variety of offers like "Join our newsletter etc" so they can then market to the consumers that say yes.
Again, great in concept - fill out your information once to enter for a "prize" and then select brand offers that you're interested in.
The problem is that most of the guys running the actual paths - buying the media etc - are small affiliate marketers. These are one to five man teams that slap together a variety of these co-reg offers from the "legit" co-reg company APIs.
So you'll see the big co-reg companies bragging about how they power the USAToday.com registration process, but the reality is many of them make the bulk of their revenue through their API sets and affiliate programs, which they leave damn-near unregulated (unless put under the microscope).
So every now and again the FTC hammers a few of these small timers, but the reality is an affiliate - doing "ok" - can make anywhere from $10 - 100k/mo in profit just doing what I describe above - build some direct-response landing pages, pull brand offers from the co-reg company apis, and buy media from companies that love to sell it, and don't look too hard for reasons not to.
So anywho I love getting on my soapbox but it's insane how many huge companies benefit from these scams, and how simple it is for them to have deniability due to the ecosystem of using these small timers on the front end.
(1) A great breakdown of "what is" co-reg advertising http://www.coregmedia.com/demos/demo-pub.php
(2) FTC Settles w/ValueClick http://www.ftc.gov/opa/2008/03/vc.shtm
The same structure drives multi-level marketing, off-shoring/outsourcing manufacturing/recycling/garbage-hauling to sweatshops/polluters/mafia, and the junk mortgage bubble / global financial crisis.
It seems that they are simply affiliates of these various sites and get a small percentage for signups? Is that correct? how much can they reasonably hope to make from something like this?
Administrative Contact: James Smith Lagja e vjeter --- the name of the neighborhoo: old neighborhood tek pallati cope cope --- name of the building Elbasan, Albania n/a --- city Albania ilovefbinfo@gmail.com +355 692207020 --- some poor guys number
Its odd to find Albanian scammers, usually they suck at programming. The number should be working.
Spamming is a problem here in Albania. By checking my submission history you will find that i currently talked to a spammer even reported him but nothing was done (not a response even from the host).
He was telling me it is effective and you should do the same if you can.
jerk-off gesture