Industry Leading Device Fingerprinting Solution
Detect Fake Accounts, Bots, VPNs, Emulators, Fraudulent Users & Duplicate Accounts
Device Fingerprinting by IPQS offers an unparalleled fraud detection solution capable of detecting even the most advanced fraudsters, bad actors, and cybercriminals. Scan over 300 data points to accurately identify fake devices, location spoofing, and high risk behavior in a user's online fingerprint. Identify bots, automated behavior, device spoofing, & other high confidence signals that the user is likely to engage in fraudulent behavior.
Device Fingerprinting Benefits For Fraud Detection
Deploy JavaScript Device Fingerprinting for web devices or use our SDKs for mobile devices on iOS or Android. Robust risk scoring will accurately identify fake accounts, chargebacks, credential stuffing, bot behavior, and similar abuse.
- Device ID Tracking — Device Fingerprinting collects unique details about a user's device to generate a device ID that can be associated with a specific user. Device Fingerprint IDs can be used to track duplicate accounts and returning fraudsters.
- Detect GPS Spoofing — Uncover sophisticated fraud for desktops and mobile apps whenever a user is spoofing their GPS location. Even advanced fraudsters cannot bypass our GPS spoofing detection.
- Identify Emulators — IPQS Device Fingerprinting can reveal advanced fraud techniques including the latest emulator software. Detect browser spoofing, emulators, and similar types of abuse that involve device spoofing.
- Stop Bots And Scraping — Identify non human traffic and block bots in real-time with advanced bot fingerprinting
- Prevent High Risk Users & Chargebacks — Fraudsters use a combination of the methods above and similar abusive behavior for carding attacks, fake account creation, and even account takeover attacks.
Web Fingerprinting At Its Best
Integrate accurate web fingerprinting on your sites for desktop and mobile traffic with just a few lines of code. Fully support cross device fingerprinting for all web browsers. Mobile apps can use the IPQS mobile device fingerprinting SDK for easy integration with iOS and Android frameworks.
Predict User Intent & Identify Non-Human Behavior
Additionally, analyze user intent and behavior across our vast database of known patterns of fraud to identify bad actors with a high probability of engaging in malicious behavior. Track users even as they change their browser, IP address, and other identifiable settings which typically makes detecting duplicate accounts even more difficult, especially when abusive users are involved. Unlike proxy detection, this risk analysis searches deep into the user's online fingerprint, analyzing beyond their IP address and browser with machine learning and artificial intelligence.
Uncover The Most Sophisticated Fraud & Device Spoofing
Traditional methods of catching low quality users and fraudulent payments are quickly becoming outdated as fraudsters continue to improve their levels of sophistication and techniques. Fraudsters can quickly access virtual machines with legitimate IP addresses or even choose from thousands of devices with tools like Multi-Login, Linken Sphere, FraudFox, & AntiDetect. Preventing fake accounts and identity validation with real-time device fingerprinting can improve audience quality by up to 15%-20%.
Researchers are now estimating that over $200 billion in credit card fraud & chargebacks and over $16 billion in online advertising fraud are predicted for 2022. These numbers are expected to rise even further in the next few years. But your company doesn't need to be another statistic. IPQS solves these challenges with device fingerprinting techniques, an easy way to easily score users, clicks, & payments without friction for legitimate users. Get it setup on your site or app in just a few minutes.
Track & score users as they move through your platform. Identify bots, spoofed devices, location spoofing, and analyze users against thousands of high risk behavior patterns.
How Do I Integrate JavaScript Device Fingerprinting?
Simply install our Android and iOS fingerprinting SDKs or place a JavaScript tag through a marketing, user, or payment funnel on your site or app and instantly gain insights into each user. Fraud Scores & over 25 data points are returned in real-time so your system can perform its own business logic. For example, redirecting the user, internally flagging a user or transaction as suspicious, requiring additional verification, automatic suspension, and similar actions can be executed when high fraud scores are detected. Post analysis can also be performed through our powerful user dashboard and advanced reporting. Tracking variables make it easy to correlate a Fraud Score or fingerprint device ID with a specific transaction ID, user ID, product ID, campaign ID, etc. so you can properly align the data within your own backend.
A robust API suite is available to seamlessly integrate with your site, software, or apps. IPQS support team also offers free integration assistance 7 days per week as well as example code and simple documentation.
IPQS Device Fingerprinting technology is optimized for scoring mobile or desktop devices in any country. Identify suspicious users, clicks, & transactions and abusive behavior in real-time.
Proactive Detection & Customized Scoring
Catch high risk users and suspicious transactions in real-time which can be blocked or flagged for manual review or even supplement your own real-time decision making process. IPQS Device Fingerprinting tools return a real-time fraud score indicating the likeliness of the user to engage in fraud, in addition to other data such as a super tracking ID, confidence score, location, device variables, and the connection status as a proxy, VPN, or TOR connection.
We realize every site has different requirements for fraud detection, so our tools are flexible to provide custom anti-fraud solutions for any site or app. IPQS user dashboard makes it easy to create custom rules that modify how specific tests we perform factor into the user's overall fraud score. Additionally, custom blacklists and whitelists tailor the service to fit your audience.
Track users as they move through your site, even as they change their browser, IP address, and other settings that could be used to identify them. Fraudsters routinely create duplicate accounts to engage in abusive behavior and will do everything they can to circumvent bans and suspensions on their existing accounts. IPQS anti-fraud tools makes it easy to identify these users and permanently block them.
IPQS algorithms use a mix of artificial intelligence, bot detection, & machine learning to tailor fraud detection for your audience, while also learning from your history. Using real-time scoring, fraudsters can be blocked or flagged for review - preventing chargebacks, click fraud, free trial abuse, and other abusive actions that can be time consuming to manually manage.
