• rogue antivirus
• fake antivirus
• malware detection

As more and more inexperienced users gain Internet access, fraudsters are attempting to take advantage of them in new ways. Instead of sophisticated exploitation techniques, simple confidence tricks can be used to create malware that is both very effective and likely to evade
detection by traditional security software.

Heuristics that detect complex malicious behavior are powerless against some common frauds. This work explores the use of imaging and text-matching techniques to detect typical computer scams such as pharmacy and rogue antivirus frauds.

The Inner-Eye system implements the chosen approach in a scalable and efficient manner through the use of virtualization.