Empirical Study Of Drive-By-Download Spyware

Empirical Study Of Drive-By-Download Spyware,Mark A. Barwinski,Cynthia E. Irvine,Tim E. Levin

Empirical Study Of Drive-By-Download Spyware  
BibTex | RIS | RefWorks Download
1. Abstract The ability of spyware to circumvent common security practices, surreptitiously exporting confidential information to remote parties and illicitly consuming system resources, is a rising security concern in government, corporate, and home computing environments. While it is the common perception that spyware infection is the result of high risk Internet surfing behavior, our research shows main-stream web sites listed in popular search engines contribute to spyware infection irrespective of patch levels and despite "safe" Internet surfing practices. Experiments conducted in July of 2005 revealed the presence of spyware in several main-stream Internet sectors as evidenced in the considerable infection of both patched and unpatched Windows XP test beds. Although the experiment emulated conservative web surfing practices by not interacting with web page links, images, or banner advertisements, spyware infection of Internet Explorer based test beds occurred swiftly through cross- domain scripting and ActiveX exploits. As many as 71 different spyware programs were identified among 6 Internet sectors. Real-estate and online travel-related web sites infected the test beds with as many as 14 different spyware programs and one bank-related web site appeared to be the source of a resource consuming dialing program. Empirical analysis suggests that spyware infection via drive-by-download attacks has thus far been unabated by security patches or even prudent web surfing behavior. At least for the moment, it appears the choice of web browser applications is the single most effective measure in preventing spyware infection via drive-by-downloads.
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.