Here we discuss how one can investigate crypto hacks and security incidents, and collect all the possible tools and manuals! PRs are welcome! If any tool is missing - please open PR!

Marble - the real time decision engine for fraud and AML

AML/CTF/KYC/OFAC Search of global watchlist and sanctions

Open-source reference implementations for AI-enabled payment security, blockchain fraud detection, and AML/CFT compliance reasoning.

A portable and easy-to-integrate implementation of the Advanced Configuration and Power Interface (ACPI)

Synthetic fraud graph generator for benchmarking graph-based fraud detection models in financial services.

3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

Rust library for parsing ACPI tables and interpreting AML

LAI is an interpreter for AML, the ACPI Machine Language.

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

API for OpenSanctions with support for entity search and bulk matching of data collections. Supports Reconciliation API spec.

A resource full of Crypto/OSINT tools, techniques and training courses for CTI, AML, and forensic investigations.

Template for getting started with automated ML Ops on Azure Machine Learning

Open source AML and Fraud Detection using Machine Learning for Real-Time Transaction Monitoring

Data model and processing tools for investigative entity graphs. Used by OpenSanctions, OpenAleph and dozens of other fincrime tools.

A tool for managing Aras Innovator installations focusing on improving the import/export experience.

Customer registry supporting Know Your Customer (KYC), Customer Identification Program (CIP), and OFAC checks

Utilize the deep learning library Keras to classify transactions as fraudulent(1) or non-fraudulent(0).

Open-source KYC/AML compliance automation. 17 human-in-the-loop checkpoints, free public data sources, deterministic risk scoring. Runs on Claude Cowork, Claude Code, or any Claude client.

Burp Suite Extension for LLM Prompt Injection Testing