Mobile Fraud Trends #CreditChat – there’s always a first time for everything

by David Britton 5 min read June 25, 2014

Today I co-hosted a TweetChat with Experian on mobile fraud trends. To be honest, it was the first Twitter Chat I took part in. It was fun, informative and a great way to connect with folks in our industry – from our customer base, partners and more.

The discussion was fast paced and the 140-character limit for tweets means I wasn’t able to elaborate on many of the points I made. Thus, thought I would share my insight through a blog post.

What are the most common types of mobile fraud?

Malware. According to Forbes, 97 percent of mobile malware is on Android devices. That’s not to say that Apple isn’t seeing it, too.They are, but at a much reduced scale due to their validation processes. Forbes also states that android malware rose from 238 threats in 2012 to 804 new threats in 2013 and continues to rise.

Mobile malware has a couple of varieties that everyone should be aware of. They’re increasingly common and you’ve likely seen the first one making media headlines like rapid fire in recent months:

  1. Ransomware: locks a user’s phone and fraudsters demand payment to unlock it.
  2. Credential stealing malware: attempts to capture the credentials of the victim as they access a service.
  3. Premium dialing/texting malware that uses victim phones to increase traffic and charges to rogue accounts.

Courtesy of AppleInsider

Mobile fraud, as a category, also needs to include the use of the mobile device by fraudsters as the attacking instrument. Fraudsters exploit the fact that organizations may not have applied the same security measures to their mobile access points that they have in their traditional online access. Big mistake. All organizations should make sure that they are not exposed to fraud originating from the mobile channel (either mobile app or mobile web based.)Companies need to ensure they can identify the device regardless of platform.

Am I more at risk on my mobile device than I am on my computer?

As a consumer, industry data has illustrated that there is no significant difference between the risk of the PC and a mobile device.The PC is still a much more valuable target to fraudsters, considering its wide use. But as the mobile platform continues to grow, mobile exploits are also growing, forcing the industry to build in more robust strategies around mobile access.This includes the platform providers, app developers and businesses that want to increase their mobile offerings.

The bigger point here is that the Apple platform has much less malware activity than the Android platform does today. Apple has stringent developer policies and scrutiny.

For businesses, as a relative percentage of device activity, we are beginning to see that there is more fraud in the mobile channel than in the traditional channel. Bear in mind that mobile volumes today are still much smaller than the traditional PC.Mobile can also be a fraud staging area, where fraudsters can see balances and activity and then takeover your account… But this is not a vulnerability with the consumerusingtheir device, rather it’s with the fraudsters usingthe mobile channel since it’s aseparate channel where the banks may not have effective cross-channel visibility.

How do I know if you have a legitimate app vs a fake / fraudulent app?

There are a few simple steps to verify the legitimacy of apps – check for typos, grainy logos and images and check user reviews on the app store. Moreover, this is an issue of where users are getting their apps. Make sure you are only downloading apps from the platforms’ authorized app environments. And keep in mind that the prevalence of malware on the Google Play platform is much higher than that on the AppStore.

What other risks do mobile devices pose to personal identity?

The phone doesn’t necessarily present greater risks than PCs, but people do tend to use them more frequently, and with less of a thought toward security.My advice: make a habit of locking your phone and don’t buy apps from sketchy platforms.

What are the methods that banks and retailers are choosing to secure mobile payments?

It’s a device access versus personal access issue. Need for business is to recognize devices regardless of payment type. In the NFC space, there’s also a question of liability… who is on the hook when happens? Is it the merchant? The card issuer? There are still some gray areas when it comes to mobile wallet (NFC) transactions being used for physical purchases.

For NFC (in person) payments, the POS makers use industry standards–but they can still be vulnerable to attack based on malware distributed via POS terminals, as we have seen lately.

For mobile bank payments–some banks use device recognition and device behavior–but all banks really should use it–best way to detect rogue activity from the device.

Most retail mobile payments are tied to a wallet–so wallet providers must also secure access to the wallet ensure that it doesn’t become the weakest link.

Will passwords ever die? What other forms of identification might be used?

For businesses, passwords are already dead, since most have been stolen over the years. Businesses should be using device recognition – it’s one of the strongest tools to differentiate between good and bad users.

Any final tips on how people can protect themselves from mobile fraud?

Don’t buy apps from sketchy third party platforms. Don’t click on links from untrusted parties, lock your device, make sure your device is backed up and don’t payransomwaredemands.

If you have any other questions that weren’t answered in the #TweetChat, please leave a comment here or tweet to me at @DBritton41st.

Related Posts

Building for Bots in the AI Age: Separating Legitimate Agents From Fraudsters

See how NeuroID helps businesses distinguish legitimate AI agents from fraud bots, while Agent Trust verifies agent-initiated transactions.

October 29, 2026 by Laura Burrows
2026 Retail Banking Identity and Fraud Report 

Learn how banks can convert rising fraud investment into protection customers recognize, value and feel in our recent report. Read more!

October 28, 2026 by Laura Burrows
One Platform, Fewer Handoffs, Faster Decisions

The average credit union manages between 100-300 vendor relationships, and nearly a third have no dedicated staff managing them. What was supposed to drive efficiency is stunting growth and compromising the member experience. Application volume is continuing to rise, and consumers expect a loan decision at digital speed. But for credit unions, meeting that expectation isn't the only goal. They must also continue to make the right lending decisions while also prioritizing risk management. The institutions pulling ahead aren't the ones with the most tools. They're the ones that have turned credit, fraud and decisioning into a single, coordinated system. A single loan decision touches: Credit data Identity verification Fraud signals Decisioning logic Reporting Rarely does all of that live in one place. More often, it’s stitched together across separate platforms, each with its own contract and its own support line. When a credit view and a fraud view are generated separately, they must be reconciled instead of read together in the same instant. Every handoff is a place where a decision slows down and a signal gets missed. It's why a fraud pattern that would be obvious next to the credit file often surfaces only after the funds are already gone. Fragmentation also makes it harder to optimize lending strategies over time. When data, analytics and decisioning are disconnected, credit unions have less visibility into what's working, what's changing and where strategies need to be adjusted. An integrated decisioning ecosystem closes those seams by design, with credit, fraud and lending strategy running on one platform and accessed through a single Application Programming Interface (API). Identity and compliance capabilities can be an integrated decisioning flow. The data doesn't need to be reconciled after the fact because it was never separated in the first place. Stop overengineering, start removing friction When decisioning underperforms, the instinct is to build something more custom: a proprietary model, tighter segmentation, more configuration.  Custom modeling has its place for institutions with the scale and data to justify it. But often, for small or mid-sized credit unions, the bigger opportunity is a flexible decisioning strategy that uses a strong, continuously refreshed model. This shouldn't be either/or. The right approach gives credit unions a strong decisioning strategy today, with the ability to introduce more customized analytics and modeling as their needs evolve.  The same principle applies to strategy management: credit unions can gain greater control through self-service capabilities as they build a more sophisticated data science team.   That kind of flexibility is important as credit unions modernize their decisioning infrastructure. Research surveying more than 2,000 senior credit risk and fraud decision-makers across 11 countries found that organizations investing in unified platforms and modern infrastructure are moving faster and realizing the greatest Return on Investment (ROI).   As their needs evolve, credit unions can adjust decisioning strategies without introducing another layer of technology or relying on third parties to make every change. Until self-service is the right fit, choose a partner that understands what makes your credit union’s membership and risk appetite different from others.  Same member, same afternoon, faster answer Consider a credit union growing its auto and personal loan originations.  A member applies for an auto loan on Saturday afternoon. Credit data, identity and fraud signals are read together in a single real-time pass instead of separate reviews:  Most applications resolve immediately, approved or declined based on a more comprehensive view of the applicant. A smaller number are flagged for quick step-up verification and cleared within minutes. Only genuinely ambiguous cases reach an underwriter, who is working from one complete picture instead of reconciling multiple signals. The member has an answer before the weekend is over. The credit union books the loan before competitors even open on Monday. Built to scale This kind of process holds up today. However, the better test is whether it holds up eighteen months from now when application volume has grown, new products are live and the data flowing through the system looks nothing like it does right now. Future-proofing isn't only about handling more volume. It's about having room to be nimbler and make adjustments as quickly as the market changes. A credit union that relies on standard models within a decisioning strategy may want more customized analytics and greater control over its strategies tomorrow. Connect with us With more than three decades of credit expertise and one of the industry's largest data footprints, Experian helps credit unions do more than solve this year's friction. We're helping to build a decisioning foundation that scales, so growth becomes something the system absorbs, rather than something it must be rebuilt around. Explore More

October 21, 2026 by Zohreen Ismail

Subscribe to our Newsletter

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Newsletter

Don't miss out on the latest industry trends and insights!
Subscribe