Implement subscription fraud detection system

[Smartdevs17]

Implement subscription fraud detection system

Description

Context: Subscription services are targets for fraud; need automated detection and prevention.

Current Limitation: No fraud detection exists.

Expected Outcome: Implement fraud detection with risk scoring and automated blocking.

Acceptance Criteria

• Implement risk scoring model with multiple signals
• Add velocity checks (rapid subscription creation)
• Implement anomalous usage pattern detection
• Add chargeback prediction
• Support manual review queue
• Implement automated risk-based actions (block, flag, approve)
• Add fraud analytics dashboard
• Create React Native fraud management UI

Technical Scope

Files Likely Affected:

• contracts/fraud/src/lib.rs - New fraud module
• app/stores/fraudStore.ts - Fraud state
• app/screens/FraudDashboard.tsx

APIs/Contracts Involved:

• assess_risk(subscriber: Address) -> RiskScore
• flag_subscription(subscription_id: SubscriptionId)
• get_fraud_report(merchant_id: MerchantId) -> FraudReport

Edge Cases to Consider:

• False positives
• Evasion attempts

[shaaibu7]

@shaaibu7 has applied to work on this issue as part of the Stellar Wave Program's 4th wave.

can i work on this

ℹ️ Repo Maintainers: To accept this application, review their application or assign @shaaibu7 to this issue.

[drips-wave]

Congratulations, @shaaibu7! 🎉 Your application was accepted by the repo's maintainers, and the issue is due on April 29, 2026.

🧑‍💻 @shaaibu7: Please resolve the issue such that the repo's maintainers have enough time to review your contribution before the due date. You'll earn Points for completing the issue on-time, which will make you eligible for a share of the Stellar Wave Program's reward pool.

Warning

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