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VS Frauds Detector - Screenshot 1 - API project

VS Frauds Detector

API

Project Summary

The VS Frauds Detector is a fraud screening system that offers a range of features designed to protect online marketers and improve the effectiveness of e-commerce campaigns.

With its link protection service, this system enables users to gain complete control over their campaigns and minimize the risk of fraud.

With its ability to employ a range of algorithms and data analysis techniques, the VS Frauds Detector is highly effective at identifying and preventing fraudulent activities.

By screening IP addresses and other data points, this system helps users safeguard their campaigns and minimize the risk of financial loss.

The link protection service offered by the VS Frauds Detector is another valuable feature.

This service enables users to protect their links from unauthorized access and manipulation, ensuring that their campaigns remain secure and effective.

With this feature, users can gain complete control over their campaigns, keeping them secure and effective.

Case Study

Overview

Built a fraud screening and link-protection platform to filter bot traffic, protect campaign URLs, and give marketers real-time visibility into suspicious visits.

Problem

Campaign budgets were being drained by bot traffic, proxy farms, and repeated clicks. Teams had no unified way to filter traffic, track suspicious visits, or enforce rules per campaign.

Solution

A fraud screening API with an admin dashboard for campaigns, filters, and traffic logs, plus configurable link protection and alternate redirects.

Goals

  • 1Block high-risk traffic before it reaches campaign URLs.
  • 2Provide per-campaign filters with allow/block rules.
  • 3Track visits with IP, device, and fingerprint context.
  • 4Offer alternate “safe” redirect destinations for blocked traffic.
  • 5Give admins quick visibility into traffic quality and anomalies.

Approach

  • Used a rule engine with multiple match types (IP, range, host, browser, OS, country) to keep decisions explainable.
  • Captured visit fingerprints and device metadata for repeat-visitor detection.
  • Built a campaign manager that generates unique URLs and green/red redirect paths.
  • Focused on a fast admin UI for marketers instead of a heavy BI dashboard.

Results & Impact

Outcomes

  • Reduced invalid traffic on protected campaigns by ~25-35% in the first month.
  • Improved marketer confidence with clear visit logs and filter rules.
  • Cut manual cleanup time by automating block rules and redirects.

Key Metrics

Rule types
8+
IP, IP range, host, browser, OS, org, country, user-agent.
Decision time
<80 ms
Per visit filter evaluation.
Blocked traffic
25-35%
On high-risk campaigns.

Timeline

1
Core filteringFeb 2018

Rules, IP checks, redirects.

2
Campaign managerMar 2018

Unique URLs, green/red routing.

3
Traffic analyticsApr 2018

Visits log and device metadata.

4
HardeningMay 2018

Rate limits and false-positive tuning.

Challenges

  • Balancing aggressive blocking with legitimate traffic.
  • Keeping rule evaluation fast at scale.
  • Making filters understandable to non-technical marketers.

Project Info

Start:February 2018
End:
May 2018
Duration:3 months
Tech:10 used
Images:5 available

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Technologies Used

Laravel

MySQL

jQuery

Bootstrap

PHP

HTML

CSS

GCP

Git

NGINX

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