Machine-Learning Algorithm Combs the Darknet for Zero Day Exploits, and Finds Them

In February 2015, Microsoft identified a critical vulnerability in its Windows operating system that potentially allowed a malicious attacker to remotely control the targeted computer. The problem affected a wide variety of Windows operating systems including, Vista, 7, 8 and various others designed for servers and mobile computers. The company immediately issued a fix. But it didn’t take long for details of the vulnerability to spread through the hacker community. In April, cybersecurity experts found an exploit based on this vulnerability for sale on a darknet marketplace where the seller was asking around $15,000. In July, the first malware appeared that used this vulnerability. This piece of malware, the Dyre Banking Trojan, targeted users all over the world and was designed to steal credit-card numbers from infected computers. The episode…


Link to Full Article: Machine-Learning Algorithm Combs the Darknet for Zero Day Exploits, and Finds Them