Articles
How to Detect Potential Merchant Fraud
Merchant fraud in BNPL and point of sale lending is rarely random. It usually leaves visible traces across phone numbers, welcome calls, payment channels, and account access patterns. This article explains how risk teams can spot those signals, investigate them, and put tighter controls around merchant behavior.
Event-Driven Antifraud in eCommerce
Event-driven antifraud in eCommerce starts with a simple idea: collect the right events, then make fraud decisions based on what the data shows. This article covers bot prevention at the infrastructure layer, behavioral analytics, and the event signals a rule engine can use to flag suspicious purchases before they go through.
Why sticky browser fingerprints matter more than unique ones
Browser changes, cleared cookies and new phones can make a fingerprint look new. This article explains why stickiness, server-side resolution and links to other application data matter more than a unique browser hash.
Media Device Fingerprinting: A Modern Method for Online Tracking
Media Device Fingerprinting uses browser APIs to collect details about a user’s audio and video devices and turn that data into a tracking signal. This article explains how it works, why it matters for online fingerprinting, where it falls short, and what can reduce its effectiveness.
Evercookie: A Persistent Tracking Mechanism
Evercookie is a JavaScript technique that writes the same identifier across multiple browser storage locations to resist deletion. If one store is cleared, it rebuilds from the others, which enables persistent, cross-session tracking. This article explains how it works, its technical and legal limits, and practical steps users can take to reduce exposure.
Using a Rule Engine to Tailor Your Antifraud Strategy
A rule engine gives you control over antifraud logic. Instead of relying on generic checks, you can combine third-party data, IP block lists, and your own transaction signals to define rules that fit your risk profile. This article shows how to tailor antifraud rules for ecommerce, including IP address checks, velocity analysis, and custom conditions that help flag suspicious activity before it becomes a loss.
Rules to stop junk logins and bot attacks
A practical way to combine free, low-cost and paid checks against junk sign-ups, credential stuffing and automated login attempts. You will see what each service returns, when to call it, how to order the checks and which rules to test first.
Using distance calculation with the spherical law of cosines to detect fraud in ecommerce
This article explains how to use the Spherical Law of Cosines to calculate great-circle distances from latitude and longitude, and apply that decision logic in a decision engine for customer verification, geo-fencing, and ecommerce fraud detection. It compares the formula with Haversine, shows the exact equation and implementation steps, and explains the accuracy trade-offs at different distance ranges.
Tools Used in Online Fraud Prevention
Online fraud prevention uses gateway checks, data enrichment, ML models, chargeback controls, transaction monitoring, and case management to reduce e-commerce fraud. This article outlines these methods and shows how to encode them into auditable decision logic for repeatable fraud screening.
ETags: a quiet web tracking mechanism
ETags are a standard part of HTTP, built mainly for web cache optimization. They do more than improve performance. They can also be used as a hidden tracking mechanism. This article explains how ETags work, how they are used in web caching, how they can be misused to track users, and what steps can reduce those privacy risks.