Table of contents
- What is Fraud as a Service?
- Key characteristics of the FaaS market
- Tools used by FaaS providers
- Detecting attacks in real time
- Summary
Cybercrime has transformed into a business model organised much like a legitimate startup. Today, carrying out an attack no longer requires either advanced technical expertise or months of preparation. Criminals sell or rent complete, ready-to-use solutions on the black market - from tools for automating attacks to access to stolen databases. FaaS is drastically lowering the barrier to entry for new fraudsters, while increasing the scale and speed of incidents across the financial sector.
What is Fraud as a Service?
Fraud as a Service (FaaS) is an operational model that exploits the structure of legitimate technology (such as SaaS - Software as a Service). It is a commercial service in which providers offer productised tools and complete operational frameworks that enable fraud.
These services are available in several variants:
on a subscription basis or as one-off sales of ready-to-use components,
as a bespoke service for higher-value targets.
The key advantage of FaaS is that even individuals without specialist technical skills can order a complete package of services enabling fraud, often with technical support included. Most of these services operate covertly and are offered on the dark web and through private, encrypted communication channels, making them significantly more difficult for law enforcement to detect.
Key characteristics of the FaaS market
While a single act of online fraud may be relatively easy to carry out, setting up an entire scalable infrastructure for committing fraud requires significant resources, time and specialist knowledge. FaaS providers make short work of these challenges, offering a fully operational infrastructure - with interfaces, documentation and customer support - enabling criminal activity at scale.
Key characteristics of this market include:
Commoditisation of cybercrime: FaaS transforms traditional, complex fraud techniques into ready-to-purchase, immediately usable services. Instead of building the infrastructure from scratch, the purchaser buys or rents the functionality and data essential to carry out an attack - analogous to the legitimate SaaS model. The result is rapid scaling of criminal activity and a lower barrier to entry for new offenders.
Availability and "usability": FaaS offers are customer-oriented, designed even for users without advanced technical skills. They feature intuitive interfaces, detailed instructions, and even technical support - making it possible to carry out complex criminal operations using ready-made tools.
Diversity of services: The FaaS market extends beyond a single method. Platforms offer a broad selection of products, from tools for intercepting login credentials to resources for generating forged documents and synthetic identities, and even services related to laundering fraudulently obtained funds. The most advanced suppliers also offer bespoke solutions aimed at high-value targets.
Tools used by FaaS providers
FaaS providers offer ready-made components and modular services that substantially accelerate and scale criminal operations. These tools enable automation, environment cloning and concealment of activity:
Application cloning: cloning and modification of legitimate apps to create numerous fake accounts, enabling the large-scale circumvention of basic system safeguards,
Identity verification bypass: mechanisms that enable fabricated photographs or forged documents to be entered directly into digital identity verification processes,
Environment emulation: simulation of virtual devices and operating systems, used to mask large-scale attacks and to conceal the attacker's identity,
Session data manipulation: active alteration of technical data during a session (for example, location spoofing or removal of telemetry signals) to hinder identification,
Botnets and automation: the use of automated networks for mass login attempts, clicks, and generating artificial traffic, aiming to overload or bypass systems,
Stolen databases and compiled profiles: selling or renting access to payment data, compiled profiles and materials essential for creating false identities.
Detecting attacks in real time
Effective defence against automated FaaS attacks requires a shift from post-event identity verification to behavioural analysis in real time. This is precisely the focus of behavioural verification, which identifies how a user interacts with the system. Criminals intentionally use FaaS platforms to mimic traffic generated by genuine users. The key to detection is to identify subtle, non-human signals that betray technical standardisation and automation.
Security teams should focus on monitoring and analysing the following key detection signals:
1. Digital Fingerprint Analysis (device signals)
A Digital Fingerprint is a set of unique technical data that every browser and every device transmits during a connection (for example, device model, browser settings, time zone and screen resolution).
Standardisation of the environment: FaaS bots use ready-made tools (for example emulators) to impersonate dozens if not hundreds of different users. Detecting that multiple fake accounts are generating identical hardware and software data immediately signals that the operation is automated. Advanced analysis tools, such as the Cyber Fraud Detection (CFD) Platform, are essential for detecting these signals.
Absence of natural fluctuation: in normal human traffic (even with an identical model of the device) there is always some residual "noise" or micro-variations in the telemetric parameters. By contrast, automated FaaS traffic is too uniform; the system detects the absence of those minute fluctuations, which exposes the automation behind it.
2. Discrepancies in geolocation data (location signals)
Fraudsters conceal their true location by using a VPN or proxy to alter their IP address. This leads to internal inconsistencies in the data that expose the fraud.
The IP address suggests that the application is being submitted from another country, while device settings (time zone, language) indicate Poland.
This conflict exposes the fraud since criminals frequently forget to manipulate all geolocation signals simultaneously.
Rapid detection of malicious IP addresses is crucial when combatting large-scale attacks. This is why modern detection platforms, such as CFD, allow institutions to immediately block traffic from such sources, thereby minimising the risk of exposure.
3. Anomalies in data entry (behavioural signals)
Monitoring how users interact with forms is crucial because automated traffic never perfectly imitates human behaviour.
Unrealistic speed: the filling in of a form by a bot is unnaturally fast, with no pauses for reflection, no errors committed while completing the form, and no corrections made. Antifraud systems, such as the CFD Platform, continuously analyse these patterns.
Perfect path repetition: a genuine user navigates a page unpredictably, with scrolling, backtracking and hesitation, while automated traffic always executes the same perfectly repeating sequence of events and clicks.
Summary
The Fraud-as-a-Service market has drastically increased the scale and availability of organised fraud, making it essential to implement defence mechanisms that function in real time. In this technological arms race, traditional methods of verification are no match for tools that disguise automated traffic as legitimate. The key to effective defence is advanced analytics, which the Cyber Fraud Detection Platform offers. By analysing a digital fingerprint, geolocation discrepancies and data entry anomalies, CFD effectively raises the cost and threshold for entry into organised cybercrime, constituting an essential shield for the financial sector.