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Ddos
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Vippp
maiDEV Anti-Scam
Inspiration
Online scams are increasingly difficult to organize and document. maiDEV Anti-Scam is designed as a focused workspace for collecting evidence, reviewing risk signals, and preparing clear reports without turning the tool into an abuse or harassment system.
What it does
- Dashboard for tracking suspicious-profile investigations
- Intake for profile URLs, notes, and case metadata
- Evidence organization for screenshots and supporting material
- Transparent risk-signal review and risk scoring
- Structured report generation for manual platform reporting
- Case history, status tracking, and resolution notes
How I built it
The concept is designed around a responsive web dashboard using HTML, CSS, and JavaScript, with a dark premium visual language, subtle purple/cyan gradients, glass surfaces, soft glow, smooth transitions, and mobile-first layouts.
Challenges I ran into
The main challenge is balancing useful investigation workflows with safety. The product therefore emphasizes evidence organization and human-reviewed reporting rather than automated harassment, mass-reporting, credential attacks, or disruption of third-party accounts.
Accomplishments that I'm proud of
Creating a clear workflow that turns scattered scam evidence into an organized investigation case, while keeping the interface approachable and fast to use.
What I learned
A good anti-scam workflow needs both strong information hierarchy and careful boundaries around automation. Clear evidence, transparent signals, and human review make the system more useful and responsible.
What's next for maiDEV Anti-Scam
- Real evidence storage
- More explainable risk signals
- Case search and filtering
- Exportable investigation reports
- Optional integrations with legitimate reporting workflows
