Back to Results
First PageMeta Content
Website / Email spam / Computing / Crime / Internet / Spamming / Social engineering / Phishing


Using Visual Website Similarity for Phishing Detection and Reporting Max-Emanuel Maurer University of Munich Amalienstr[removed]Munich, Germany
Add to Reading List

Document Date: 2012-05-08 08:21:00


Open Document

File Size: 1,75 MB

Share Result on Facebook

City

Munich / Austin / /

Company

Paypal / HSBC / OpenDNS / Facebook / Google Inc. / /

Country

Germany / United States / /

/

Facility

Website Detector The Java library LIRe / Dennis Herzner University of Munich Amalienstr / Reporting Max-Emanuel Maurer University of Munich Amalienstr / /

IndustryTerm

comparison backend server / potential phishing site / similar web pages / Internet Technology / fuzzy systems / Web security context / banking / rendered web page / e - commerce / web browser phishing warnings / online community / online users / /

MarketIndex

set 320 / set 140 / /

Organization

Max-Emanuel Maurer University of Munich Amalienstr / University of Munich Amalienstr / /

Person

R. Dhamija / Doris Hausen / /

Position

author / representative / /

ProgrammingLanguage

Java / /

ProvinceOrState

Texas / /

Technology

MPEG / Java / Internet Technology / GUI / /

URL

www.google.com/tools/firefox/safebrowsing / paypal.com / www.phishtank.com / www.searchpreview.de / www.w3.org/TR/wsc-ui / /

SocialTag