Website Phishing Detection Through Spelling and Grammar Artifacts
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Solution Overview
Problem
Modern phishing websites are difficult to detect due to their sophisticated design, which often includes unusual misspellings and grammatical artifacts, making them visually similar to legitimate websites, and existing detection methods struggle to identify these subtle anomalies.
Innovation Solution
A system that analyzes websites for grammatical and spelling irregularities using spell check and case-sensitive usage checks, combining scores to identify potential phishing sites, supplementing existing detection mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sophisticated design is used to make phishing websites visually similar to legitimate websites, then the phishing websites become more convincing and harder to detect, but the detection difficulty increases
Solution Approach 1:
The patent extracts and analyzes specific linguistic features (spelling patterns, grammatical structures, punctuation usage) from website content separately from the overall visual design. By isolating these textual artifacts, the system can detect phishing websites based on their linguistic characteristics rather than relying on visual similarity alone, thus resolving the contradiction between visual sophistication and detectability
Solution Approach 2:
The patent applies different analysis methods to different parts of the website content. Instead of treating the entire website uniformly, it focuses on specific local linguistic features such as spelling patterns in URLs, grammatical artifacts in text content, and punctuation anomalies in forms. This localized analysis enables detection of phishing websites even when they visually mimic legitimate sites
2Reliability
If existing detection methods are used to identify phishing websites, then the detection process becomes complex and resource-intensive, but the detection capability remains insufficient
Solution Approach 1:
The patent replaces complex visual and behavioral analysis mechanisms with simpler linguistic pattern recognition. Instead of analyzing website layout, graphics, and user interactions, the system uses spell check algorithms and grammatical analysis to detect phishing websites. This substitution dramatically reduces computational complexity while maintaining or improving detection capability
Solution Approach 2:
The patent employs lightweight, computationally inexpensive linguistic analysis methods that can be executed quickly with minimal resources. By using simple spell checking and grammatical artifact detection rather than heavy machine learning models or complex analysis systems, the patent achieves efficient phishing detection that is both resource-friendly and effective
Data Source
AI summary
There is disclosed a method of mitigating phishing, including extracting text from a website under analysis; using a spell check algorithm to compare extracted words or phrases to a language dictionary of words or phrases selected from web pages known to be phishing targets, and using a spell counter to count misspell hits from the spell check algorithm; comparing the extracted words or phrases to a case-sensitive usage reference, and using a usage counter to count mismatched usage hits from the case-sensitive usage reference; combining the spell counter and the usage counter into a combined counter; and using the combined counter to identify the website under analysis as a suspected phishing website and taking a phishing mitigation action.