Proactive Artifact Analysis for Unicode Domain Impersonation
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Solution Overview
Problem
Current security systems struggle to effectively detect and prevent domain name impersonation and other security threats, such as phishing and malware, particularly with the introduction of Unicode domain names which complicate visual comparison techniques.
Innovation Solution
A security system that monitors user interactions with computing devices, detects hover events over clickable objects, and performs real-time analysis of underlying artifacts to assess potential security risks. The system provides a safety assessment and detailed information about the artifact, helping users make informed decisions before selecting potentially harmful content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If visual comparison techniques are used to detect domain name impersonation, then detection simplicity is improved, but detection precision deteriorates with Unicode domain names
Solution Approach 1:
The patent introduces an intermediary analysis layer that examines multiple artifacts (domain name structure, WHOIS data, DNS records, SSL certificates, website content) rather than relying solely on direct visual comparison. This intermediary approach bridges the gap between simple detection methods and the need for precise Unicode domain name analysis by adding intermediate verification steps.
Solution Approach 2:
The system changes the parameters of analysis from simple visual string comparison to multi-dimensional parameter examination including domain registration data, DNS configuration, SSL certificate validity, and website content analysis. This parameter transformation enables precise detection of Unicode domain name impersonation while maintaining systematic detection processes.
2Reliability
If real-time analysis of underlying artifacts is performed, then security assessment accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-fetching and caching domain artifacts (WHOIS data, DNS records, SSL certificates) before they are needed for analysis. This allows the real-time security assessment to reuse pre-prepared data, reducing the computational complexity during the actual analysis phase while maintaining high accuracy.
Solution Approach 2:
The analysis process is segmented into independent modules: domain name validation, WHOIS data analysis, DNS record verification, SSL certificate checking, and website content analysis. Each module handles a specific aspect of the security assessment, making the overall complex system manageable and maintainable while achieving comprehensive security evaluation.
3Reliability
If proactive security information is provided to users, then user protection is improved, but information processing load increases
Solution Approach 1:
The system applies partial action by providing security information selectively rather than analyzing all possible artifacts for every user interaction. It performs analysis based on risk thresholds and user context, processing only the necessary portion of security data to provide adequate protection without overwhelming processing loads.
Solution Approach 2:
The security information system uses a nested structure where core security assessments are embedded within user interface interactions. The analysis artifacts (domain validation, SSL checks) are nested within the broader context of user browsing behavior, allowing efficient integration of security processing into existing user workflows without duplicating processing efforts.
Data Source
AI summary
The invention is related to security systems and methods for proactively informing a user about an artifact associated with a clickable object on a user interface with which the user is interacting, where such information is provided to the user prior to selection of the clickable object. The information includes a safety assessment of the clickable object, details about the underlying artifact, such as the contents of an archive file, and general information helpful in assisting the user with making a decision as to whether to select the clickable object.