Automated Domain Crawler and Checkout Simulator for Scam Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing online service providers face challenges in detecting newly registered scam websites that utilize redirections to conduct fraudulent activities, leading to disputes and compromised user data.
Innovation Solution
An automated domain crawler and checkout simulator are employed to proactively detect scam websites by monitoring newly registered domains, simulating checkout processes, and identifying redirects to potentially fraudulent accounts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proactive detection of scam websites is implemented, then fraud prevention capability is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically crawling newly registered domains and simulating checkout processes before actual fraudulent transactions occur. The domain crawler proactively identifies potential scam websites by monitoring new domain registrations and analyzing website content, while the checkout simulator executes automated transactions to detect redirections and suspicious behaviors, enabling fraud prevention before harm occurs.
Solution Approach 2:
The patent introduces intermediary components including a domain crawler that acts as a mediator between domain registration systems and the main detection system, and a checkout simulator that serves as an intermediary to perform automated transactions. These intermediaries handle the complexity of proactive monitoring and simulation, allowing the core fraud detection system to maintain high reliability without overwhelming complexity.
2Speed
If real-time detection of scam websites is implemented, then response time is improved, but computational resources consumed increases
Solution Approach 1:
The domain crawler operates periodically by monitoring newly registered domains at specific intervals rather than continuously scanning all domains. This periodic action allows the system to maintain real-time detection capability for new scam websites while reducing computational resource consumption by only analyzing domains that have been recently registered, rather than continuously processing the entire domain space.
Solution Approach 2:
The system extracts and focuses computational resources on the most critical task of detecting newly registered domains, which are the primary vectors for scam website creation. By concentrating analysis on new domains rather than attempting to analyze all domains simultaneously, the system achieves fast response time for detecting emerging threats while minimizing overall computational resource consumption.
3Measurement precision
If automated domain crawling and checkout simulation is implemented, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The checkout simulator performs partial actions by executing only the critical steps of the checkout process necessary to detect fraud, such as initiating transactions and monitoring for redirections, rather than completing the entire checkout flow. This partial action approach maintains detection accuracy by capturing the essential fraudulent behaviors while reducing processing time by omitting unnecessary checkout steps.
Data Source
AI summary
There are provided systems and methods for an automated domain crawler and checkout simulator for proactive and real-time scam website detection. A service provider, such as an online transaction processor, may provide a domain crawler and checkout simulator that may be used to detect scam websites when registered and/or configured to utilize intermediary webpages of other domains to perpetrate fraud or scams on customers. The domain parser may detect new domain registrations and may parse through their corresponding websites to identify those that include checkout options or other processing flows that proceed through steps and use a service or feature of a service provider, including account usage for electronic transaction processing. The checkout simulator may then simulate a user's experience through the checkout to determine if domain redirections occur. If so, those redirections may be checked to identify usage of a merchant account having been flagged for scams.