Automation Abuse
Bots and scripts targeting onboarding, login, promo, and transaction flows.
Built for CISOs, AppSec, and Fraud Teams
Measure your mobile app's fraud attack surface before attackers do.
AppRiskIQ analyzes Android applications and turns fraud exploitability signals into an executive-ready Mobile App Fraud Risk Report.
Fraud Exposure Score from 0 to 100
Focused on automation, emulators, hooking, and API abuse
Executive PDF ready to share internally
Example scorecard
Fraud Exposure Score
74 / 100
HIGH RISK
Automation Risk82
Emulator Risk88
Hooking Risk74
Reverse Engineering Risk61
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Executive-style report output
AppRiskIQ produces a Mobile App Fraud Risk Report designed for both security stakeholders and technical owners.
Fraud Exposure Score with category breakdown
Fraud scenarios tied to abuse patterns
Technical findings with sanitized evidence snapshots
Prioritized security improvements for mobile fraud resilience
Mobile apps are now part of the fraud attack surface
Most mobile testing programs still focus on vulnerabilities alone. AppRiskIQ answers a different question: how easily could this mobile application be abused for fraud at scale?
Emulator Farms
Virtual-device abuse used to create fake accounts, test attacks, and evade controls.
Runtime Manipulation
Hooking, tampering, and instrumentation used to alter sensitive mobile behavior.
How the workflow works
The MVP keeps the flow intentionally simple: upload, analyze, score, and report.
1
Upload the APK
The file is sent directly to the backend and processed on the VPS, not on Vercel.
2
Analyze fraud signals
The engine extracts static indicators, applies fraud-oriented heuristics, and scores exposure.
3
Review the report
The dashboard shows findings, category risk, and a downloadable executive-style PDF.
Free self-assessment
Estimate your mobile fraud exposure
Answer a few quick questions to estimate whether your mobile channel likely carries low, moderate, or high fraud exposure.
Does your mobile app detect emulator or virtual-device environments?
Do you have runtime protections against hooking, tampering, or debugging?
Is certificate pinning enforced in sensitive network flows?
Do you assess fraud exposure on every major mobile release?
Have you seen recent bot abuse, onboarding abuse, or suspicious mobile activity?
Preliminary result
Preliminary result
Select your answers to estimate whether your mobile application may have low, medium, or high fraud exposure.
Designed for controlled, account-based analysis
The current platform already gives each team a private workspace for scans, reports, and operational controls, so the product feels usable now, not just conceptual.
- Private account access for scans and reports
- Scan history with live status updates in the dashboard
- Concurrency controls to keep analysis stable
- Retention controls for APK deletion after analysis