eCommerce Fraud Knowledge Guide

Fraud as a Service (FaaS)

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  2. eCommerce Fraud
  3. Fraud as a Service (FaaS)
  4. Fraud as a Service Statistics
Fraud as a Service (FaaS)

Knowledge Guide Chapters

  1. What is Fraud as a Service?
  2. How Does Fraud as a Service Work?
  3. Fraud as a Service Statistics
  4. Fraud as a Service Examples
  5. How to Identify Fraud as a Service Attacks
  6. How to Prevent Fraud as a Service Attacks

Fraud as a Service StatisticsThe Billion-Dollar FaaS Black Market

Harlan Hutson | December 30, 2025 | 3 min read
Fraud as a Service Statistics

Fraud as a Service: Statistics & Financial Impact

Fraud as a Service isn’t talked about much… which can make it seem like an isolated problem. Due to its scale and scope, however, FaaS has become an illegal global “industry” that siphons billions of dollars out of the economy every year.

Unfortunately for merchants, the impact of FaaS can be felt far beyond the dollars and data gone down the drain from the initial attack. Between lost merchandise, added operational overhead, and a deluge of chargeback fees, a FaaS attack can dent your bottom line and lead to additional complications down the road.

It’s important to understand how big of a threat FaaS really is, so in this post, we take a look at some of the hard data around this type of fraudulent attack.

Fraud as a Service (FaaS)

Similar to software as a service (SaaS), buyers who purchase Fraud as a Service (FaaS) products don’t need to understand the inner workings of program how to carry out the fraud themselves. That’s a big problem for legitimate merchants and consumers: it means that even the least sophisticated bad actors can launch complex and large-scale attacks with nothing more than an internet connection.

The Global Financial Impact of FaaS Attacks

TL;DR

The global financial impact of fraud as a service (FaaS) attacks is immense, costing businesses and financial institutions billions annually through fraudulent transactions, chargebacks, and identity theft.

Because FaaS is scalable, its effects can be wide-reaching. In 2024, a single Faas-enabled, large-scale attack spanning 4,800+ incidents disrupted businesses in three verticals (social media, crypto, and payments) on every continent except for Australia and Antarctica.

No longer are fraudsters working alone to exploit vulnerabilities and steal from clients. With the help of the dark web and anonymous payment methods like cryptocurrencies, scammers are working together, sharing knowledge, and transacting with each other.

No geographic location is immune from FaaS attacks. I mentioned a second ago that Australia was exempted from one high-profile attack. But, according to a 2023 survey by Ravelin, two-thirds of businesses in Australia said they have been victims of FaaS schemes at some point. This is compared to the global average of 56% of businesses.

56%
Globally

of businesses say they've been victims of at least one FaaS scheme

Source: Ravelin

Like legitimate business ecosystems, which magnify supply-side activity, the underground platforms that allow FaaS providers to thrive are lowering the cost of scamming, increasing the prevalence of fraud, and lowering the barrier to entry for aspiring cybercriminals.

Prevalence

56%

Percentage of companies hit by FaaS attacks, with rates as high as 67% in Canada and 66% in Australia. Source: Ravelin Technology

Demographic Shift

47%

Percentage of cybercrime cases involving someone 21 or younger. Source: Reuters

Automation Rate

80%

Percentage of login attempts across eCommerce platforms that are now attributed to automated bot traffic. Source: Neuro-ID by Experian

Cost Multiplier

$4.61 Billion

The average cost to a US merchant for every single dollar lost to fraud. Source: LexisNexis Risk Solutions

Technology continues to make fraud easier, but we can help you stay ahead of the game.

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Fraud as a Service & Chargebacks

TL;DR

FaaS is largely a volume game. Automated attacks can generate massive waves of fraudulent purchases and chargebacks at once. This, in turn, can drive up chargeback ratios and operational costs, and do long-term damage they end up blocking real customers.

Fraud as a Service is a persistent threat faced by eCommerce merchants. Arguably the most damaging aspect, however, is the almost inevitable wave of chargebacks that follow.

A bad actor who manually commits fraud may get away with a small handful of unauthorized transactions at once. FaaS operators, on the other hand, can use botnets or other automations to place absurd numbers of fraudulent purchases in an hour. This serves as a force multiplier for chargeback volume when those charges are subsequently involuntarily reversed

Impacts include:

Higher Chargeback Ratios

FaaS attacks hit fast and hard, potentially triggering hundreds of disputes simultaneously. While it’s possible these chargebacks will appear at different times over a period of several weeks, you’ll more likely get a huge surge all at once.

Your chargeback-to-transaction ratio can get pushed north of the 1% threshold in a single day. That could potentially land you in high-risk merchant monitoring programs that carry heavy fines and higher long-term processing fees.

Increase in Operational Overhead

Every chargeback triggered by a FaaS attack requires manual investigation, evidence gathering, and representment. All of that diverts your team from more relevant, revenue-generating activities. You could choose to add to staff, but again, that’s a needless cash outlay.

Also, note that FaaS-driven fraud often involves sophisticated spoofing. That makes these disputes harder to disprove, lowering chargeback win rates and net recovery rates below traditional fraud cases.

Erosion Of Fraud Scoring Data

So how do FaaS tools bypass filters? Sophisticated ones may use accounts created with synthetic identities and warmed with real histories. This typically results in false negatives rather than immediate fraud detection.

Of course, most of these legitimate-looking accounts will eventually trigger chargebacks. At that point, however, your fraud scoring tools may over-correct. You end up with the anger or loss of genuine, high-value customers who are blocked by your well-meaning efforts  to contain FaaS-driven fraud.

Next Chapter

Fraud as a Service Examples

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