blog.siftscience.com/seven-habits-of-highly-fraudulent-users

At Sift Science, we distill fraud signals in real-time from terabytes of data and more than a billion global events per month. At our “Cats N’ Hacks” Hackathon last week, I decided to put some of our fraud signals to the test.


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