MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611071323 A) filed by Pranveer Singh Institute Of Technology on June 09, 2026, for Maskters: A Heuristic-Based Scam Detection System For Internship And E-Commerce Websites Using Web Scraping And Domain Verification.
Inventors include Dr. Sumiti Narayan Tewari; Dr. Asif Ahmad; and Akshara Gupta.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The system and technique for detecting scam websites, known as Maskters, are the subject of the current invention. They are made to assist consumers in recognizing possibly fraudulent websites by providing an intuitive web-based interface. Core web technologies including HTML, CSS, and Python are used in the system's implementation. It assesses a number of authenticity indications, including domain information, HTTPS presence, and the accessibility of important material like privacy and return policies. Maskters finds questionable or recently registered domains by retrieving domain registration information, including creation and expiration dates, using Python-based WHOIS lookup utilities. To assess a website's legitimacy, the innovation also looks at trust signs including SSL padlock indicators, grammar correctness, and design consistency. In contrast to traditional detection technologies that depend on third-party APIs or machine learning models, Maskters uses a lightweight, rule-based methodology that produces significant results with little processing overhead. Accessibility, effectiveness, and independence from outside data sources are thus guaranteed. Maskters gives customers an easy-to-use safety grading system and unambiguous insights about the legitimacy of websites by fusing heuristic inspections with real-time analysis. In the ever-changing digital ecosystem, the idea enhances security against dangerous websites, e-commerce frauds, and fake internship platforms by empowering consumers to make informed online decisions.
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