Fraudsters are constantly coming up with new and innovative ways to commit fraud. Today we are taking a look at product listing fraud, a relatively new type of fraud that is a rapidly growing problem for online marketplaces.
A successful spam campaign is one that obtains maximum return-on-investment (ROI) to the spammer. This means that a spam campaign must reach as many end users as possible, must be robust in the face of blacklisting efforts, and must be scalable. This blog post describes some of the recent techniques employed by spammers to distribute malicious URLs on social media platforms as observed by DataVisor.
Srigurunath Chakravarthi, Head of Trust at Pinterest discusses how DataVisor has helped detect more spammers faster with Unsupervised Machine Learning.
Watch this recording of a webinar hosted by Julian Wong, Technical Architect at DataVisor, and his special guest, Jim Blomo, Director of Engineering at Yelp, to learn how Yelp stops fake users while connecting people with local businesses.
The DataVisor Online Fraud Report took a look at our base of more than one billion users across 172+ countries in the world. Using this massive amount of data, we were able to identify some of the favorite tools and attack techniques that online criminals from around the globe favor when doing their dirty work.
Image source: Facebook Social spam is not new. We've all experienced our share of unsolicited comments, stranger friend requests, phishing links, fake reviews, and click-baiting. But as online services introduce new features [...]
We are entering an era of billions of users and trillions of online accounts. This is attracting a growing wave of attacks like fake reviews targeting online services of all sizes. The Internet user population [...]