eDNA to the rescue
Card fraud occurs when criminals run thousands of small purchases using stolen credit card numbers, then resell the “successful” cards to organized crime rings at a much higher price. This leads to poor merchant history, chargeback penalties, and worse. Carding, like most online fraud attacks, is easier than ever. There are even step by step tutorials.
eDNA deep interrogation validates there is a human behind the browser. Even carding bots that mimic human behavior with tools like Selenium can’t escape eDNA detection.
It starts with good web application security hygiene. eDNA inspects each http request in real time, determines if it’s a malicious bot, then blocks the request outright. Next, machine learning algorithms learn your legitimate traffic patterns to pinpoint dangerous anomalies.
You can also turn on more aggressive settings across critical attack vectors like account registration forms and login screens. And by incorporating eDNA Intelligence into your defenses, you can identify high risk transactions in real time, evaluate the need for a review, or deny the transaction.
Behavioural and Machine Learning Technology
The single pixel approach relies on data across a vast network of sites yet there is little or no domain-specific behavioral modeling or heuristics based on requested URLs, click path, or speed of navigation. eDNA leverages domain-specific behavioral modeling and machine learning to identify the fraudsters. This is not possible with a single pixel firing from creative.
eDNA can even detect sophisticated bots that fake human attributes like mouse movements and page scrolling.