Tag Archives: online fraud detection

Manual Review Best Practices: What’s the Value of Assessing IP Address Risk?

In this blog post, we continue our discussion of best practices for manual review. Today’s topic is assessing IP address risk.

A fraudster (or indeed, anyone) placing an order on a website uses a device (computer, mobile phone or tablet) and this device is associated with an IP address.

In our last blog post, we discussed how the physical location of the IP address can be matched against other location information to see if anything looks suspicious. For example, it’s best to closely scrutinize orders where the location of an IP address is in one country and the billing address in another.

Fraudsters recognize the power of geolocation in identifying fraud, so they act to hide their actual IP address and, by extension, their geographic location. The best way for them to take cover is to connect to the Internet using a proxy server. Popular hiding places include open proxies, hosting providers and VPNs. Continue reading

How to Use Geolocation to Identify Higher Risk Transactions

In our last blog post, we discussed how you can use a risk score to automate fraud screening, saving you time and money.

In this blog post, we begin our discussion of manual review best practices.

Studies show that, in North America, one in four orders on average receive extra scrutiny through the manual review process. The goal is to prevent the expense of chargebacks and customer issued credits associated with fraud. At the same time, you need to ensure that legitimate orders are not rejected unnecessarily, and estimates suggest that this is the case with up to 10% of orders. Rejecting good orders negatively impacts the bottom line, and drives away good customers.

During manual review, fraud analysts examine data associated with an order to assess how likely it is to be fraudulent. One key area of data points to consider is that of geolocation. Continue reading

MaxMind Speaking at MRC. March 24, 2015 – Mark Your Calendar!

MRC_Vegas_15(Logo) (1)

MaxMind, the industry-leading provider of IP intelligence and online fraud detection tools, has been invited to present at the 2015 Merchant Risk Council (MRC) eCommerce Payments & Risk Conference in Las Vegas. Our co-presenters will include two of the world’s most prominent eCommerce companies: Orbitz, a leader in the online travel industry, and Western Union, a global money transfer giant. MRC’s own Global Director of Programs and Marketing will bring his extensive industry experience to the presentation as well. Whitepages Pro, one of the major providers of contact information in North America, will moderate our lively presentation.

cropped-cropped-maxmind_logo.png   Western Union  Orbitz  White Pages Pro

Manual Review Best Practices
Learnings from Peak Buying Times in 2014

We invite you to attend this panel discussion to learn more about best practices for preparing for, executing and evaluating your manual review processes. You’ll benefit by hearing specific examples of unique situations and fraud trends that caused online merchants to alter their tools or procedures. You’ll also have the chance to review some questionable transactions and engage in discussion about whether to approve or reject them.

Mark Your Calendar!
March 24, 2015
1:30 p.m. – 2:15 p.m. PT
Aria Resort, Las Vegas

We hope to see you at the Presentation or just stop by booth #422 and say, “Hello!”

Contact us today at mrc@maxmind.com to schedule a meeting during the event. We look forward to seeing you at MRC’s 2015 eCommerce Payments & Risk Conference – the largest professional development and networking event for eCommerce payments and fraud professionals in the Americas.

Proxy Detection – Why Fraudsters Give Proxies a Bad Name

When it comes to fraud detection, finding proxies is a big topic. But why? Fraud detection begins with thinking intelligently about the IP address associated with a transaction. Where is that IP address, and how does that location relate to other transaction data? Whereas most IP addresses inspire confidence, those associated with a proxy generate suspicion.

Let’s take a closer look at proxy detection. Continue reading