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 (like operating system, screen resolution, fonts) 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
- 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 — Mobile device fingerprinting uncovers sophisticated fraud for desktops and mobile apps whenever a user is spoofing their GPS location. Even advanced fraudsters cannot bypass our device fingerprinting 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 or operating system emulation.
- 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. Browser fingerprinting completely mitigates this type of abuse. Block high risk device fingerprints known across our threat network.
IPQS Device Fingerprinting Activity
Devices Analyzed Per Month
Devices Blacklisted Per Minute
Better Device Fingerprint Accuracy
Web Fingerprinting At Its Best
Integrate accurate web fingerprinting on your sites for desktop device fingerprinting as well as mobile traffic with just a few lines of code. Track devices with full support for cross device fingerprinting compatible with 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 web device fingerprinting 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 device 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. Use device fingerprinting as the best defense to mitigate abuse with advanced fraud prevention measures. Prevent fake accounts or similar risky behavior with real-time web device fingerprinting that improves audience quality by up to 35%.
Researchers are now estimating that over $200 billion in credit card fraud & chargebacks and over $16 billion in online advertising fraud are predicted for 2024. 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 browser fingerprinting 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.
A robust device fingerprint 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 device fingerprint tools are flexible to provide custom anti-fraud solutions for any site or app. The IPQS user dashboard makes it easy to create custom rules that modify how specific checks factor into the user's device fraud score. Additionally, custom blacklists and whitelists tailor the service to fit your audience for the best browser fingerprint experience.
Track users with web device fingerprinting as they move through your site, even as they change their browser, IP address, and other device configuration 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. Identify fraudulent users even if they use multiple devices or the same device. Device fingerprinting risk scores are accurate enough to prevent fraud such as duplicate users and even fake accounts.
IPQS algorithms use a mix of artificial intelligence, bot detection, & machine learning bot fingerprinting to tailor fraud detection for your audience, while also learning from your history. Prevent fraud using real-time risk scoring so 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.