Fraudsters can run emulators and automated scripts to create thousands of fake accounts in the space of a few seconds. These are then used for fraudulent activities.
Earlier this year, Meta pursued legal action against Voyager Labs, who allegedly set up fake accounts to scrape information from users. And a new group, dubbed Automated Libra, recently registered between three and five fake GitHub accounts every minute to abuse GitHub Actions workflow for mining.
How can companies halt fake accounts and be proactive in uncovering what is fake and what is real?
Fraudsters can run emulators and automated scripts to create thousands of fake accounts in the space of a few seconds. These fake accounts are then used for fraudulent activities, such as payment fraud, promo and incentive abuse, multi-account collusion, and the spread of misinformation.
These activities drain businesses’ resources and ruin the experience for genuine users. It’s also hard for businesses to stop them – fraudsters tend to create so many that it can become an endless game of whack-a-mole if organizations address fake accounts only after fraud has been committed.
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