Browser Payment Page Trust Warning System
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Solution Overview
Problem
Traditional methods for warning users about untrustworthy applications focus primarily on malware, failing to detect scam applications that do not perform malicious actions, leading to users inadvertently wasting money on ineffective or fraudulent software.
Innovation Solution
A system and method that detects payment pages within a browser, determines the source of the payment page, queries a reputation database to assess its trustworthiness, and warns the user if the source is untrustworthy, preventing financial loss by blocking or alerting users to untrustworthy payment pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional malware detection methods are used, then malicious code can be detected and blocked, but scam applications that do not perform malicious actions cannot be identified
Solution Approach 1:
The system performs preliminary evaluation of the application source (developer, publisher, or referring website) before the user completes the payment. By checking the reputation database in advance and displaying trustworthiness information on the payment page, the system prevents users from purchasing scam applications before financial loss occurs.
Solution Approach 2:
The patent introduces a reputation database as an intermediary component that stores and provides trustworthiness information about application sources. This mediator enables the browser to assess the reliability of payment pages by querying external reputation data, bridging the gap between basic malware detection and comprehensive scam application identification.
2Reliability
If payment pages are blocked without evaluation, then users are protected from scam applications, but legitimate applications may also be prevented from purchase
Solution Approach 1:
The system applies partial evaluation by assessing only specific aspects of the payment page (source reputation, developer credibility, website trustworthiness) rather than blocking all payments universally. This selective approach provides sufficient protection against scams while maintaining convenience for legitimate purchases.
Solution Approach 2:
The system provides feedback to users about the trustworthiness of payment pages by displaying reputation information directly on the payment page. This feedback mechanism allows users to make informed decisions about whether to proceed with the purchase, balancing protection and convenience.
Data Source
AI summary
The disclosed computer-implemented method for warning users about untrustworthy application payment pages may include (1) detecting, within an Internet browser, a payment page to purchase an application, (2) determining a source of origin of the payment page, (3) querying a reputation database to determine a reputation of the source of origin of the payment page, (4) receiving a response from the reputation database indicating that the source of origin of the payment page is untrustworthy, and (5) in response to receiving the response that indicates that the source of origin of the payment page is untrustworthy, warning a user of the Internet browser that the source of origin of the payment page is untrustworthy. Various other methods, systems, and computer-readable media are also disclosed.