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TabShots: Client-Side Detection of Tabnabbing Attacks Philippe De Ryck, Nick Nikiforakis, Lieven Desmet, Wouter Joosen iMinds-Distrinet, KU Leuven, 3001 Leuven, Belgium [removed]
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Document Date: 2013-02-22 04:41:51


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File Size: 1,83 MB

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City

New York / Leuven / Hangzhou / Oakland / /

Company

Twitter / ACM Press / Google / Facebook / AOL / Yahoo! / Bank of America / /

Country

United States / China / /

Currency

USD / /

/

IndustryTerm

web applications / web users / social networking sites / required processing time / social networking site / visual comparison algorithm / web application / comparison algorithms / dynamic web applications / social networking applications / comparison algorithm / web mail / Web Access / non-malicious web applications / anti-phishing solutions / innocuous site / Web-based services General Terms Security Keywords Tabnabbing / web-site / web developers / automated phishing-detection solution / volunteer-driven site / per-site / dynamic applications / default web application / online-mobile-banking-privacy/sitekey.go / malicious site / web browser phishing warnings / smarter comparison algorithm / learning algorithm / /

Organization

European Union European Commission / White House / IWT / European Union / /

Person

R. Dhamija / Aza Raskin / M. Hearst / Nick Nikiforakis / J. D. Tygar / /

Position

Directorate-General / Web-based services General / human analyst / /

ProgrammingLanguage

Java / HTML / JavaScript / /

ProvinceOrState

New York / California / /

SportsEvent

mlb / /

Technology

API / HTML / smarter comparison algorithm / SSL / comparison algorithms / AJAX / learning algorithm / main algorithm / Java / visual comparison algorithm / comparison algorithm / http / DOM / Flash / /

URL

taobao.com / live.com / http /

SocialTag