Open-source reference implementations for AI-enabled payment security, blockchain fraud detection, and AML/CFT compliance reasoning.
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Updated
May 13, 2026 - Python
Open-source reference implementations for AI-enabled payment security, blockchain fraud detection, and AML/CFT compliance reasoning.
Complete reverse engineering of Alipay SecurityGuard SDK — 9 CVEs (MITRE #2005801), AVMP VM bypass, 396/408 (97%) unprotected JSBridge APIs
Trace-backed Agent Authorization Reviews for tool-using AI agents. Staging-only evidence for payment, record-change, access, and export actions.
The Unified Payments Interface (UPI) has revolutionized the way people make payments in India. However, with the increasing adoption of UPI, there has been a rise in fraudulent transactions. To combat this, a UPI fraud detection system Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
AI agent skill atlas for safer Arab/MENA payment and BNPL integrations.
Evidence firewall for autonomous AI payments, built with Jac and a deterministic Guardian policy engine.
The complete payment cryptography toolkit — 45+ tools for encryption, hashing, key management, PIN operations, and an interactive Thales payShield 10K HSM Simulator.
Local-first pre-action / pre-settlement trust enforcement layer for agent-
Find payment logic flaws in Razorpay and Stripe checkouts - client-trusted amounts, rupee/paise bugs, unverified webhooks
Enterprise-grade PCI-DSS v4.0 automated testing framework: API, UI & security test coverage with a built-in mock payment server. TypeScript + Jest + Playwright. Plug-and-play template for QA engineers.
Machine learning-based real-time UPI fraud detection system using behavioral analysis, anomaly detection, NLP, and multiple intelligent ML models.
Deterministic authority and consumer execution for autonomous agents. Policy checks, exact approvals, x402 settlement, delivery verification and X Layer receipts.
Independent, citeable reference to the PCI security standards landscape - version lineage, status, sunset dates, and cross-family relationships. Not affiliated with or endorsed by PCI SSC.
A comprehensive machine learning project for detecting fraudulent payment transactions. Features 50,000 synthetic transactions, 4 ML models (Random Forest, XGBoost, LightGBM, CatBoost), 8 data visualizations, and SMOTE for handling class imbalance. Perfect for financial institutions and data scientists working on fraud detection systems.
A incentivized fund raiser portal for NayePankh Organisation
🛡️XAIPT™ — Runtime governance and authority-aware execution research ecosystem exploring HOLD-before-finality, bounded execution, runtime visibility, and human authority before irreversible digital actions.
Stop card testing, bot traffic, and fake signups on any site. Device identity that survives cleared cookies and rotating IPs, velocity across device/subnet/ASN/BIN, and a reason code behind every verdict. Drop-in script tag, self-hosted, MIT.
Free open-source PCI DSS SAQ checklists in plain English
The human-authorization layer for agent payments: a signed, content-addressed consent receipt (offline checker, Ed25519 signer, AIR composer, spec, fixtures).
Case study of a payment amount manipulation vulnerability discovered during testing of a checkout flow.
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