DataVisor helped protect a large, mobile P2P Marketplace from fraud and abuse using Unsupervised Machine Learning.
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.
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 [...]
Fake accounts are a bigger problem than ever. With so many new security technologies, why are they still so prevalent? Recent studies show that approximately 10 percent of accounts on social media sites are fake.