Building Anti-Phishing Browser Plug-Ins: An Experience Report
SESS '07 Proceedings of the Third International Workshop on Software Engineering for Secure Systems
SC@CCO: a Graphic-Based Authentication System
Proceedings of the 1st European Workshop on System Security
On the Effectiveness of Techniques to Detect Phishing Sites
DIMVA '07 Proceedings of the 4th international conference on Detection of Intrusions and Malware, and Vulnerability Assessment
Anticipating Hidden Text Salting in Emails
RAID '08 Proceedings of the 11th international symposium on Recent Advances in Intrusion Detection
Assessing anti-phishing preparedness: A study of online banks in Hong Kong
Decision Support Systems
Visual-similarity-based phishing detection
Proceedings of the 4th international conference on Security and privacy in communication netowrks
Identifying and resolving hidden text salting
IEEE Transactions on Information Forensics and Security
A multi-tier phishing detection and filtering approach
Journal of Network and Computer Applications
Auto-FBI: a user-friendly approach for secure access to sensitive content on the web
Proceedings of the 29th Annual Computer Security Applications Conference
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Phishing is a form of online identity theft that aims to steal sensitive information such as online banking passwords and credit card information from users. Phishing scams have been receiving extensive press coverage because such attacks have been escalating in number and sophistication. According to a study by Gartner, 57 million US Internet users have identified the receipt of email linked to phishing scams and ∼2 million of them are estimated to have been tricked into giving away sensitive information. This paper presents a novel browser extension, AntiPhish, that aims to protect users against spoofed web site-based phishing attacks. To this end, AntiPhish tracks the sensitive information of a user and generates warnings whenever the user attempts to give away this information to a web site that is considered untrusted.