URL Salience Phishing Detection Intermediary System
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Solution Overview
Problem
Current email and web browser technologies do not provide adequate defenses against phishing attacks, which deceive users into revealing sensitive information by impersonating authorized parties.
Innovation Solution
Implementing a system that analyzes URLs for suspicious characteristics such as obfuscation, cloaking, and redirection, and applies differential treatment based on security settings to prevent phishing attempts, including displaying warnings and blocking access to potentially unsafe URLs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current email and web browser technology are used, then ease of operation is maintained, but security against phishing attacks is insufficient
Solution Approach 1:
The patent introduces an intermediary security system that sits between the user and the email/web browser interface. This intermediary analyzes URLs and electronic communications for phishing indicators without requiring users to change their interaction patterns, thus improving security while maintaining ease of operation.
Solution Approach 2:
The system performs preliminary analysis of URLs and electronic communications before users interact with them. By pre-identifying phishing indicators in URLs and communications, the system prevents users from encountering deceptive content, thereby improving security without adding complexity to the user interface.
2Reliability
If URL analysis and phishing detection systems are implemented, then security is improved, but processing time and system complexity increase
Solution Approach 1:
The system applies partial analysis to all URLs and full analysis only to suspicious ones. By initially scanning for basic phishing indicators in all URLs and then performing more intensive analysis only on those that trigger alerts, the system achieves high detection accuracy while minimizing overall processing time.
Solution Approach 2:
The system rapidly processes URLs through multiple analysis stages, skipping detailed examination of obviously safe URLs. By implementing a multi-stage filtering approach that quickly eliminates benign content and focuses computational resources on suspicious URLs, the system maintains both accuracy and speed.
Data Source
AI summary
In some embodiments, techniques for displaying a URL comprise reducing the deceptiveness of electronic communications.