Website Analyzer Detecting Unauthorized Sites
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Solution Overview
Problem
Phishing attacks deceive users by masquerading as trustworthy entities, exploiting weaknesses in web security technologies, and existing solutions are inadequate in detecting unauthorized websites effectively.
Innovation Solution
A website analyzer system that includes a semantic analysis engine and a link analysis engine to automatically identify unauthorized websites by comparing metrics such as text, picture, and link structures, generating a confidence score based on similarity and structural differences with authorized sites, and utilizing account information to assess the likelihood of malicious activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing web security technologies are used to detect unauthorized websites, then basic security measures are provided, but detection effectiveness is insufficient due to the sophisticated nature of phishing sites
Solution Approach 1:
The detection system is divided into multiple specialized engines: a semantic analysis engine that examines webpage content and structure, a link analysis engine that evaluates hyperlink patterns, and a reputation scoring component. Each engine processes specific aspects of website analysis independently, improving detection reliability without requiring a single overly complex system
Solution Approach 2:
The system moves beyond traditional single-dimensional security checks by analyzing websites across multiple dimensions simultaneously: semantic content, structural elements, link patterns, domain reputation, and user feedback. This multi-dimensional approach enables effective detection of sophisticated phishing sites that might evade simpler detection methods
2Measurement precision
If comprehensive analysis of website content and structure is performed to distinguish authorized from unauthorized sites, then detection accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system pre-computes and stores baseline metrics for legitimate websites during off-peak periods, including semantic features, structural characteristics, and link patterns. When a website needs evaluation, the system compares it against these pre-prepared benchmarks rather than performing complete analysis from scratch, significantly reducing processing time while maintaining high detection accuracy
Solution Approach 2:
The system implements a tiered analysis approach where websites receive initial partial analysis using lightweight checks. Only websites that trigger suspicion thresholds undergo comprehensive multi-engine analysis. This selective approach maintains high detection accuracy for suspicious sites while minimizing processing time for clearly legitimate websites
Data Source
AI summary
Various embodiments describe a website analyzer that can be used for the automatic identification of unauthorized or malicious websites. A website analyzer can include heuristics for automatically identifying a collection of behaviors typical of unauthorized websites. Some embodiments automatically scan content hosted across server computers in a virtual environment and proactively identify potentially malicious websites. The embodiments can also be used to automatically scan content on public networks, such as the Internet. In particular embodiments, the website analyzer can include a semantic analysis engine and a link analysis engine. The semantic analysis engine can use the tag-level structure of HTML pages to formulate metrics which define similarity of web page content. The link analysis engine can compare the structure of embedded URIs and scripts to define metrics which quantify the difference of links between an authorized site and a potentially malicious site.