Cyber criminals are expanding their tactics this year and are attempting to adapt their techniques to carry out cyber attack campaigns in ways that make it harder to detect and analyze.
Canadian-based NuData Security says its latest research finds that hackers are more frequently turning to massive account takeover and new account creation attacks when it comes to data fraud, but these types of attacks aren’t caught by conventional fraud detection techniques. Hackers are using increasingly sophisticated methods to steal data and circumvent apprehension.
The top three trends that NuData Security’s threat intelligence has found is that attackers are:
1. Attempting to circumvent velocity detection by spreading account attacks out through the use of multiple IP addresses and accounts
2. Matching IP addresses to the billing addresses on the stolen credit cards they are using
3. Using IP addresses an average of just two times each before moving on to the next one
NuData Security says it uses continuous behavioral analysis to prevent fraud online, protecting businesses from brand damage and financial loss caused by fraudulent or malicious acts.
• NuData Security defends organizations from the potential harm of these sophisticated attacks by using psychological principals as part of its fraud solution, NuDetect
• NuDetect significantly improves on traditional device identity and delivers far more intelligence at the same time, without the need to interrupt a user’s experience by tracking and monitoring subconscious behaviors
• Behavioral analysis is able to identify suspicious activity, potentially coming from a fraudster who has procured legitimate account credentials, and stop any deceitful transactions from taking place.
NuData Security analyzes and scores billions of users per year and services some of the largest e-commerce and Web properties around the globe.
For additional discussion visit: http://blogs.gartner.com/avivah-litan/2015/01/22/where-have-all-our-passwords-gone/
For more data on Payment Card Fraud access CardData®. For information and commentary on Payment Card Fraud visit the searchable CardFlash® Library of more than 58,000 articles published since 1995. RAM Research® forecasts on Payment Card Fraud are available exclusively through CardWeb.com.®