Detect bots and fraud using behavioral device fingerprinting
Fingerprint every user action to reveal abnormal and automated behavior.
Solution
Device Fingerprint Issues We Resolve
Prevent fraud with accurate, real-time device intelligence.
Stop Device Spoofing Fraud
Prevent unauthorized access with advanced device fingerprinting techniques that detect tampered device attributes, emulators, or masking attempts.
Catch Returning Fraudulent Devices
Detect repeat offenders using persistent device fingerprints to identify fraud rings and returning bad actors.
Detect Synthetic Identity Fraud
Expose synthetic IDs by analyzing device behavior, configuration inconsistencies, and cross-session anomalies.
Block Automated Bot Attacks
Stop bots and scripts by analyzing device entropy and fingerprint consistency across sessions.
Prevent Device Evasion Techniques
Identify users attempting device resets, clean re-installs, or cloaking tactics through resilient fingerprinting.
Stop Multi-Account Fraud
Detect multi-accounting and abuse by correlating unique device fingerprints used across fake or bonus accounts.
Account Takeover Risk Detection
Prevent account takeover by flagging unusual device signatures during login or sensitive actions.
Block Fake Account Creation
Stop fake signups by verifying if the device has a risky fingerprint or fraud history.
Mitigate Bot and Script Abuse
Prevent abuse of your platform by identifying automated tools using real-time fingerprint anomaly detection.
Detect Identity and Device Spoofing
Reveal impersonators using device emulators or identity spoofing through signature mismatches.
Score Device Risk in Real-Time
Assign dynamic risk scores based on device history, configuration, and behavioral signals to protect transactions.
In Action
Try Cross Classify in Action
We support a wide range of device fingerprint recognition methods to quickly detect any threats to your product. Try our quick demo to see how it works — just keep in mind, the production version is even more powerful.
Want to Try Cross Classify in Action?
Our Approach to Device Fingerprint Intelligence
Detect devices, reveal fraud, protect accounts.
Continuous Device Monitoring
Our device fingerprinting solution gathers and correlates multiple hardware and software attributes to build a unique device identity, resistant to evasion and spoofing. This enables continuous device monitoring across sessions, detecting returning fraudsters, device manipulation, and multi-account fraud even when IPs, browsers, or cookies are changed.
Behavior Analysis with Fingerprint Signals
By combining device fingerprinting signals with behavioral analysis, our system detects unusual patterns in how users interact with devices, catching scripted bot abuse, synthetic identity fraud, and account takeover attempts. Even if a device is spoofed, our precise fingerprinting algorithm reveals hidden behavioral inconsistencies.
Geo Analysis Based on Device Fingerprint
CrossClassify’s device fingerprinting engine includes geo-location intelligence, linking device IDs with IPs, regions, and time zones. This flags device/IP mismatches, proxy usage, and geolocation anomalies associated with fraudulent logins or account takeovers.
Device Link Analysis for Fraud Rings
Our technology performs device-based link analysis, uncovering hidden connections between accounts sharing the same fingerprint, devices reused for bonus abuse, or coordinated bot behavior. We map fraud networks by linking sessions, devices, and login patterns using our multi-attribute fingerprinting system.
Enhanced Security and Fingerprinting Accuracy
CrossClassify’s fingerprinting engine uses entropy-rich signals like hardware specs, canvas, WebGL, OS, and behavioral markers to ensure high fingerprinting accuracy. This boosts protection against emulators, spoofers, and fraudulent devices, dramatically improving your fraud detection rates.
Seamless Fingerprint Integration
Our device fingerprint API supports fast, flexible integration with your web, mobile, or hybrid infrastructure. Whether you’re securing user onboarding, login flows, or payment checkpoints, our SDK integrates in minutes and scales with you.
Real-Time Alerts and Fingerprint Notifications
Receive real-time alerts on risky device behavior, fingerprint mismatches, and signs of session hijacking or scripted activity. Our system instantly flags suspicious activity across your application using robust device signals.
Blog
Latest from Cross Classify
Frequently asked questions
Read more
Read more
Read more
Read more
Read more
Read more
Read more
Read more
Read more
Read more
Let's Get Started
Discover how to secure your app against fraud using CrossClassify
No credit card required
