Root / Jailbreak Detection
Detects rooted Android and jailbroken iOS devices with OS-level security removed.
Device Intelligence - Fraud Detection for US Onboarding
Block Fraudsters by Verifying Devices to Upgrade Onboarding Security.
Stop identity theft and financial losses before they touch your system. Verihubs instantly analyzes 15+ risk signals to block emulators, fake locations, and malicious devices.
The Reality Without Device Security
Fraud Prevention &
Account Security
Suspicious logins and ATO
With 
Suspicious devices are flagged and blocked before they ever log in.
Without
Compromised devices pass freely. ATO is discovered after the damage.
Multi-Account & Fake Account
Detection
One device, many fake identities
With
One device creating multiple accounts is
caught instantly, before bonuses are claimed.
Without
Every fake session looks like a brand new user. Promo abuse goes undetected.
KYC Strengthening &
Onboarding
Device context at registration
With
Device and location signals are cross-
checked before the first form field is filled.
Without
KYC sees the identity. It has no visibility into the device behind it.
Why our Device Intelligence
Catch Fraud at the Root with High-Accuracy Device Detectors
- Root / Jailbreak Detection: Detects rooted Android and jailbroken iOS devices with OS-level security removed.
- Emulator Detection: Detects apps running on an emulator that mimics a real phone instead of genuine device hardware.
- App Hooking Detection: Detects hooking frameworks that rewrite app code at runtime, such as Frida or Xposed.
- Debug Mode Detection: Detects devices running the app in debug mode
- App Tampering Detection: Detects repackaged or modified app builds with security checks stripped out.
- Payload Tampering Detection: Detects request or response payloads altered in transit between the app and your servers.
- Suspicious SDK Connection: Detects intercepted network connections and man-in-the-middle attacks on SDK traffic.
- Device Masking Detection: Detects spoofed device specifications.
- Suspicious Factory Reset: Detects suspicious factory reset patterns.
- Virtual OS Detection: Detects apps running inside virtual OS tools.
- Cloned App Detection: Detects cloned copies of your app running alongside the original install.
- Auto Clicker Detection: Detects auto-clicker and bot tools performing automated actions without a real user.
- VPN Detection: Detects VPN usage that masks a device's true IP address and location.
- Proxy Detection: Detects connections routed through proxy servers to hide their true network origin.
- GPS Spoofing Detection: Detects spoofed GPS and fake location data used to bypass geo-restrictions.
- Screen Sharing Detection: Detects active screen sharing sessions
- Secondary User Detection: Detects devices running under a secondary user profile separate from the default OS profile.
How It Works
Device risk scanned. One pass. Zero delay.
Every check below runs the moment your app opens, finished before the user even reaches your login screen.
- Launch App
User opens your app
The Verihubs SDK activates instantly in the background. The user sees nothing. No loading screens, no additional steps. Integration takes under 2 hours and requires no changes to your existing UX.
- Evaluate Device
Device signals scanned in real time
Verihubs reads emulator status, GPS integrity, root/jailbreak indicators, hooking frameworks, app tampering, and VPN usage to build a clear picture of how much the device can be trusted.
- Monitor Results
Risk scores delivered to your dashboard
Every session arrives with a real-time risk score before onboarding begins. You set the rules, block, review, or approve based on the signals detected, and monitor every result from one dashboard.
Use Case
Where device-level fraud
causes the most damage
Digital banks
Secure digital onboarding with instant identity verification and fraud detection to meet strict banking compliance requirements.
Fintech & Lending
Verify borrower identities instantly, reduce synthetic identity fraud, and support fraud prevention aligned with industry standards.
Crypto Exchanges
Meet KYC and AML requirements while preventing identity fraud and enabling fast, secure account verification.
Insurance & E-Wallets
Enable seamless onboarding while protecting digital wallets from identity fraud with automated, device-level checks.
Frequently Asked Questions (FAQ)
Most fraud tools analyze behavior and identity, but none of them read the device environment before a session even starts. Verihubs Device Intelligence sits upstream as a pre-risk layer, giving your existing fraud stack richer signals to work with. It's additive, not a replacement.
Under 2 hours for most teams. Verihubs provides iOS and Android SDKs with clean documentation, plus a REST API for server-side integration, and direct support during onboarding.
No. It reads device-level signals only: hardware characteristics, environment indicators, and behavioral patterns. Verihubs does not collect, store, or process personally identifiable information, which keeps compliance simpler for US platforms.
Zero friction. The SDK runs silently in the background. Legitimate users see and feel nothing different. The only change they notice is faster approvals, since your system has more confidence about the session.
App tampering itself is one of the signals Device Intelligence detects. If someone repacks or modifies your app to try removing or fooling the SDK, that modification is flagged as a risk signal on its own.
Root and jailbreak status contributes to the overall risk score, but Device Intelligence doesn't automatically block a session on its own. Your team sets the threshold, so you decide whether a rooted device alone should trigger manual review or be combined with other signals before any action is taken.
It is built primarily for mobile, iOS and Android, where device-level signals like emulators, root, and GPS spoofing are most relevant. For web-based onboarding flows, our team can advise on the right combination of checks.
Yes. Running Verihubs Device Intelligence with Verihubs ID Forgery Detection means a forged ID submitted from a suspicious device gets flagged twice, once for the environment, once for the document, giving your risk team a much clearer picture than either signal alone.
Ready to close the gap?
Stop fraud where it actually starts.
See exactly what Verihubs detects that your current stack misses , in a 20-minute demo tailored to your fraud vectors.