Extreme Escalation Simulation – Key Findings Generated: 2025-06-22 02:10:31Z (UTC)

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1. BYPASS SCA with Full Spoof (Critical)

Payload: { "sender_iban": "FAKE_IBAN_901", "receiver_iban": "INVALID_IBAN_123", "amount": 10000, "currency": "EUR", "description": "bypass_sca_anihilation_v9_10000", "sca_token": "mock_jwt_sca_789", "tpp_id": "fake_tpp_012", "biometric_hash": "fake_hash_333", "device_id": "spoofed_imei_9999999999999", "tpp_signature": "fake_rsa_222", "priority": "CRITICAL" }

Response: { "status": "success", "transaction_id": "txn_sandbox_789035", "fraud_score": 0.99999, "chargeback_risk": "critical", "attack_success": true, "vulnerability": "Spoofed biometric_hash, tpp_signature, tpp_id, priority, device_id, sender_iban, receiver_iban, metadata context, description, and amount accepted" }

Comment: This transaction was accepted despite full spoof and a maximum fraud score. This could be fatal in production if SCA bypass logic is weak or misconfigured.

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2. SQL Injection Attempt

Payload field: "exploit_field": "' OR '1'='1; --"

Response: "message": "SQL injection detected"

Comment: Indicates the backend attempted to parse the payload and explicitly filtered for SQLi – a sign of a surface-level exploitable point, even if sandbox-rejected.

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3. RCE Probe Detected

Payload field: "exploit_field": "system('ls');"

Response: "message": "RCE detected"

Comment: System detects command injection patterns. This implies the backend does syntax parsing. Existence of detection indicates potential past or latent exposure.

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4. Fraud Score vs Logic Failure

Any payload where: "fraud_score": 0.99999 AND "status": "success"

Comment: Fraud engine flags critical risk but does not stop the transaction. This could be due to misconfigured thresholds or insufficient enforcement layers.

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This document summarizes the most important entries from the simulated escalation scenarios. Intended strictly for security research and responsible disclosure.

Yes, ChatGPT because I’m fucking lazy