From debilitating online attacks on major corporate websites to data breaches designed to influence elections, cybercrime has dominated the headlines in 2016. Threats and attacks are becoming more frequent, more sophisticated, and more effective every day.
They are also becoming more profitable for the cybercriminals. Today’s global cybercrime is big business. Attacks currently account for more than $400 billion in financial losses annually.
In fact, cybercrime is now the second fastest growing global economic sector and is on track to be the most lucrative soon. From the perspective of organizations that are the victims, cybercrime results in huge losses. Experts predict that annual cybercrime costs will grow from $3 trillion in 2015 to $6 trillion annually by 2021.
There are two main ways cybercriminals are able to gather customer data. First, they can redirect customers to fraudulent bank sites. Second, they can inject malware into customers’ systems which changes the behavior of the legitimate site to facilitate the cybercrime.
In the first type of attack, fraudsters will clone a legitimate bank site and create a fake one that directs customer traffic to the malicious servers. This is done through:
Other types of cybercrime, such as man-in-the-browser (MITB) attacks, infect a customer’ device and are triggered when a particular site is visited through the browser. These attacks inject malware code designed to compromise interactions on the legitimate bank sites.
As malicious hackers become increasingly savvy and greedy, it’s more important than ever for banks and other organizations to reassure customers that their data and assets are safe in order to protect their customers and avoid a bad reputation.
That´s why buguroo has developed a next generation online fraud solution. bugFraud provides a new level of transaction security, protecting organizations and their online customers from all types of attacks and fraudulent schemes.
Unlike current signature-based solutions, bugFraud relies on signature-less technology generating custom countermeasures in real time, using a proprietary pattern similarity-based mechanism that can detect new malware campaigns that interact with the victim’s browser like MITB threats, regardless of whether or not the interaction matches a known malware signature.