Scam Report Hub
A public scam reporting platform built to help people identify, report, and avoid online fraud before it spreads.
Scam Report Hub was designed around a simple idea: every reported scam can help prevent another victim. Instead of relying solely on official warnings, the platform allows members of the public to anonymously share scams they've encountered, creating a searchable database of real-world fraud reports.
Visitors can quickly search for suspicious phone numbers, email addresses, websites, usernames, and company names to determine whether others have already reported similar activity. By making scam intelligence freely accessible, the platform helps users make safer decisions before engaging with unknown contacts or websites.
Key features:
- Anonymous public scam reporting
- Searchable database of scam reports
- Categorised fraud types for easier discovery
- Evidence uploads including screenshots and supporting files
- Fast keyword search across websites, emails, phone numbers and usernames
- Mobile-first interface focused on quick reporting and information retrieval
- Educational resources to improve scam awareness
Technical overview
Built as a full-stack web application focused on speed, usability, and structured data. The platform indexes reports into searchable datasets, allowing visitors to quickly identify recurring scam patterns and common fraud indicators.
Special attention was given to:
- Structured data architecture for efficient searching and filtering
- Privacy-first reporting with anonymous submissions
- Moderation workflow designed to balance openness with data quality
- Responsive interface optimised for mobile and desktop users
- SEO-friendly content structure to improve discoverability of reported scams
The platform is designed to grow organically as new reports are submitted, creating a continually expanding public knowledge base that helps expose emerging scams and fraudulent activity.
Status
Live and publicly available, with ongoing development focused on expanding the scam database, improving search capabilities, and introducing additional fraud awareness resources.
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