Koobface is a network worm that attacks Microsoft Windows, Mac OS X, and Linux platforms. This worm originally targeted users of networking websites such as Facebook, Skype, Yahoo Messenger, and email websites such as GMail, Yahoo Mail, and AOL Mail. It also targets other networking websites, such as MySpace, Twitter, and it can infect other devices on the same local network. Technical support scammers also fraudulently claim to their intended victims that they have a Koobface infection on their computer by using fake popups and using built-in Windows programs.
via Wikipedia infobox
Koobface is a network worm that attacks Microsoft Windows, Mac OS X, and Linux platforms. This worm originally targeted users of networking websites such as Facebook, Skype, Yahoo Messenger, and email websites such as GMail, Yahoo Mail, and AOL Mail. It also targets other networking websites, such as MySpace, Twitter, and it can infect other devices on the same local network. Technical support scammers also fraudulently claim to their intended victims that they have a Koobface infection on their computer by using fake popups and using built-in Windows programs.
==Infection== Koobface ultimately attempts, upon successful infection, to gather login information for FTP sites, Facebook, Skype, and other social media platforms, and any sensitive financial data as well. It then uses compromised computers to build a peer-to-peer botnet. A compromised computer contacts other compromised computers to receive commands in a peer-to-peer fashion. The botnet is used to install additional pay-per-install malware on the compromised computer and hijack search queries to display advertisements. Its peer-to-peer topology is also used to show fake messages to other users for the purpose of expanding the botnet. It was first detected in December 2008 and a more potent version appeared in March 2009. A study by the Information Warfare Monitor, a joint collaboration from SecDev Group and the Citizen Lab in the Munk School of Global Affairs at the University of Toronto, has revealed that the operators of this scheme have generated over $2 million in revenue from June 2009 to June 2010.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).