Let's explore what is Mobile SDK Fingerprinting? This process performs device analysis using an SDK extension of your mobile app to generate a unique device ID based on the mobile phone's hardware (memory, graphics card, processor, etc.), software settings (time zone, language, etc.), and behavior patterns (carrier, cookies, session IDs, etc.). Mobile device fingerprint risk scoring can accurately detect emulators, fake or spoofed devices, and known patterns of fraudulent behavior. Setup is quick and easy with an SDK integration for Android or iOS, which allows certain device info like network adapters and boot information to be analyzed, which can only be retrieved via an SDK fingerprinting app.
- Screen Resolution
- CPU Details
- MAC Address
- Kernel & Boot Data
- Emulator Detection
- Audio Drivers
- Time Zone
- Battery Health
- Memory Specs
- Build Data
Utilizing the Android Fingerprint SDK, specific data like Android Device ID, Wifi SSID, Sensor Data, and similar Android only properties like device name and browser version can be analyzed to produce the device ID and provide accurate fraud scoring. Based on recent threat data across the IPQS network, an Android Device is 27% more likely to be fraudulent than an iOS Device. Our analysts suspect this is because it is easier to obtain emulators for Android devices to create fake devices on the fly, and switch mobile device profiles in just a few seconds.
View Fingerprint SDK Documentation
Intelligently Validate App Installs, Registrations, Purchases, & User Actions
In-App Fraud Scoring
App device ID resetting fraud can be challenging to mitigate, especially when paid app installs and bonus incentives are given for new app users. Detect app device resetting along with other forms of suspicious behavior across our Android and iOS SDK. Segment quality traffic sources while accurately identifying fraudulent app installs and bad actors. Use device fingerprinting to identify users with suspicious behavior on multiple devices or even the same device.
IPQS has provided mobile fraud detection services for over 10 years, tracking devices using browser fingerprinting technology. This gives us the unique ability to learn from hundreds of millions of user actions scored daily to quickly identify new mobile devices that fit our criteria for a fraudulent user. Integrate our mobile device fingerprinting SDK service directly into your apps with just a few lines of code.
Fully protect your company from unwanted behavior, low quality users, identity theft, credit card fraud, and similar abuse by detecting risky device fingerprints with fraudulent behavior signals.
Preventing fraud has never been easier for mobile devices. Access risk data from IPQS's threat network which enables smarter mobile fraud detection by identifying risky signals across our entire network, including desktop device fingerprinting through web browsers, IP address reputation, transaction scoring, and new account screening. Our solutions to detect fake app installs provides millions of data points per day for our risk analysis engines to learn new patterns of fraud from cybercriminals online.
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Experience the best in-app fraud protection from the leaders in mobile device fingerprinting with support for Android and iOS operating systems.