ThreatX - Blog

Slow. Antiquated. Android.

Remember the old Android device you used to use? Many of us have old versions of these devices sitting around that worked well 5 or 6 years ago, but are, unfortunately, too slow or outdated to use today. The hardware is lethargic and the Android OS hasn’t been patched for years. This is never more evident than when you try using a web browser on one of these devices and watch it struggle while rendering an element-rich site. The fact is, older devices simply don’t have sufficient CPU power to quickly display a complex page, even those designed to be responsive or mobile friendly.

In today’s complex cybersecurity landscape, it is very apparent that threats can and will originate from virtually anywhere and hardly ever follow predictable patterns. We consistently share this knowledge with our customers and use these insights to drive our product updates and roadmap.

This fact alone makes the task of properly securing your applications even more challenging. To effectively secure your applications, it is critical to implement security controls using the zero-trust model. That means you should not rely solely on external reputation sources, threat feeds, or patches. In fact, we have found that many of the threats we identify using behavioral analysis methods go undetected when using the more traditional methods. More accurate and reliable detection is critical to effective application security, especially when attacks come from the most unsuspecting of sources.

Continued from part I. Credit card fraud is an increasingly prevalent issue for card holders, card issuers, and merchants alike. Traditional approaches to WAF technology may lack the intelligence to detect and neutralize credit card fraudsters, but there are new ways, such as ThreatX's contextual behavioral analysis, that are effective in neutralizing these attacks. 

In part I of this two-part series, we will discuss the growing issue of credit card fraud for card issuers, card holders, and merchants, including how card data is being obtained and used by today's advanced attackers.