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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 analyzes 15+ risk signals to identify emulators, fake locations, and malicious devices.

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The Reality Without Device Security

Fraud Prevention &
Account Security

Suspicious logins and ATO

With Verihubs

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 Verihubs

One device creating multiple accounts is
identified as a suspicious pattern.

Without

Every fake session looks like a brand new user. Promo abuse goes undetected.

KYC Strengthening &
Onboarding

Device context at registration

With Verihubs

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.
  • Active Call Detection: Detects active phone calls from the SIM card and from calling apps.
  • Suspicious Device Sharing: Detects a device used by multiple different user IDs in the app.

How It Works

Analyze device risk without disrupting the user flow

Checks run through the SDK in the background without adding steps to the user flow.

  1. Launch App

    User opens your app

    The Verihubs SDK runs in the background without loading screens or additional user steps, requiring no changes to your existing UX.

  2. Evaluate Device

    Risk signals analyzed through the SDK

    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.

  3. Monitor Results

    Risk scores delivered to your dashboard

    Analysis results are available as risk scores in your dashboard. Set rules to block, review, or approve based on detected risk signals, then monitor every result from one dashboard.

Use Case

Where Device Intelligence causes the most damage.

Crypto & Investment Apps

Problems

Trading bots run on emulators to manipulate markets, rooted devices bypass withdrawal limits, and VPNs mask real locations to operate multiple fake accounts undetected.

Solutions

Detects emulators, root/jailbreak, VPN spoofers, hooking frameworks, and app tampering the moment the app opens. Active Call Detection also flags ongoing calls during login, trading, or withdrawals to help prevent social engineering fraud.

Use Cases: Account takeover • Fake accounts • Withdrawal fraud • Multi-accounting • Referral & bonus abuse • Social engineering fraud

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.

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.
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