Catching a Phishing Attack

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Vriat

In the news lately there have been countless examples of phishing attacks becoming more sophisticated, but it’s important to remember that entire “industry” is a bell curve: the most dedicated attackers are upping their game, but advancements in tooling and automation are also letting many less sophisticated players get started even more easily. Put another way, spamming and phishing are coexisting happily as both massive multinational business organizations and smaller cottage-industry efforts.

One such enterprising but misguided individual made the mistake of sending a typically blatant phishing email to one of our mailing lists, and someone forwarded it along to me for a laugh.

 

The phishing email, as it appeared in a mailbox

As silly and evident as this is, one thing I’m constantly astounded by is how the proportion of people who will click never quite drops to zero. Our work on social engineering assessments bears out this real-world example: with a large enough sample set, you’ll always hook at least one. In fact, a paper out of Microsoft Research suggests that, for scammers, this sort of painfully blatant opening is actually an intentional tool: it acts as a filter that only the most gullible will pass.
 

Given the weak effort put into the email, I was curious to see if the scam got any better if someone actually clicked through. To be honest, I was pleasantly surprised.

The phishing site: a combination of legitimate Apple code and images and a form added by the attacker

The site is dressed up as a reasonable approximation of an official Apple site. In fact, a look at the source shows that there are two things going on here: some HTML/CSS set dressing and template code that is copied directly from the legitimate Apple site, and the phishing form itself which is a reusable template form created by one of the phishers.

Naturally, I was curious where data went once the form was submitted. I filled in some bogus data and submitted it (the phishing form helpfully pointed out any missing data; there is certainly an audacity in being asked to check the format of the credit card number that’s about to be stolen). The data POST went back to another page on the same server, then quickly forwarded me on to the legitimate iTunes site.

 

This is another standard technique: if a “login” appears to work because the victim was already logged in, the victim will often simply proceed with what they were doing without questioning why the login was prompted in the first place. During social engineering exercises, we have seen participants repeatedly log into a cloned attack site, with mounting frustration, as they wonder why the legitimate site isn’t showing them the bait they logged in for.

 

Back to this phishing site: my application security tester spider senses were tingling, so I felt that I had to see what our phisher was doing with the data being submitted. To find out, I replayed the submit request with various types of invalid data, strings.

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