URL Analysis System for Safe Content Link Handling
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Solution Overview
Problem
Electronic devices face challenges in acquiring information about URLs before connecting to them, especially when URLs are embedded in content, leading to potential issues with harmful sites and file downloads without proper verification.
Innovation Solution
An apparatus and method for detecting URLs from content, analyzing them, and displaying the results, including verification of URL protocols, harm assessment using a database, redirection analysis, file download verification, and authority checks during installation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the electronic device directly connects to a URL without prior analysis, then the connection speed is fast, but the device may access harmful sites or download malicious files
Solution Approach 1:
The system performs preliminary analysis of URLs before connecting to them. When a URL is detected in content, the system analyzes it using multiple protocols (http, https, ftp, irc, gopher, telnet, nntp, worldwind) to check for harmful content, redirections, and file downloads in advance, so that safety verification is completed before the actual connection occurs.
Solution Approach 2:
The URL analysis process is divided into multiple independent segments: protocol verification, harmful site detection using databases, redirection analysis through ACK messages, and file download verification. Each segment can be executed separately and in parallel, allowing comprehensive safety checking without requiring a single lengthy analysis process.
2Reliability
If the system performs comprehensive URL analysis using multiple protocols and database checks, then the safety verification is thorough, but the complexity of the system increases
Solution Approach 1:
The URL analysis system is designed to handle multiple URL protocols (http, https, ftp, irc, gopher, telnet, nntp, worldwind) using a unified analysis framework. The same analysis module can verify different protocols through appropriate methods, such as sending ACK messages for redirection detection or checking against harmful site databases, eliminating the need for separate analysis systems for each protocol.
Solution Approach 2:
The system uses an intermediary harmful site database stored in memory or on a server to simplify the detection process. Instead of implementing complex detection algorithms for each protocol, the system checks URLs against this pre-populated database, which contains known harmful sites across multiple protocols, thereby reducing system complexity while maintaining high detection accuracy.
3Object-affected harmful factors
If the system verifies file downloads and installation authorities, then the security against malicious installations is improved, but the user operation process becomes more complex
Solution Approach 1:
The system provides feedback to the user during the file installation process by displaying information about the URL, file details, and required authorities. This feedback mechanism allows users to make informed decisions about whether to proceed with installation, maintaining ease of operation while enhancing security through transparency.
Solution Approach 2:
The system performs preliminary verification of file downloads and installation authorities before the actual installation occurs. By checking file types, capacities, and required authorities in advance and presenting this information to the user, the system prevents malicious installations before they can execute, rather than relying solely on post-installation security measures.
Data Source
AI summary
A method and apparatus for analyzing a URL included in contents and displaying the analyzed result is provided. The method includes detecting a URL from contents, analyzing the URL, and displaying the analyzed result.