Browser fingerprinting library. Accuracy of this version is 40-60%, accuracy of the commercial Fingerprint Identification is 99.5%. V4 of this library is BSL licensed.

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

Anomaly detection related books, papers, videos, and toolboxes

MISP (core software) - Open Source Threat Intelligence and Sharing Platform

A curated list of data mining papers about fraud detection.

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

A Python Library for Graph Outlier Detection (Anomaly Detection)

Extract and aggregate threat intelligence.

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

A tool to detect illegitimate stars from bot accounts on GitHub projects

Scanner, signatures and the largest collection of Magento malware

A Deep Graph-based Toolbox for Fraud Detection

StalkPhish - The Phishing kits stalker, harvesting phishing kits for investigations.

Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

IP Intelligence is a free Proxy VPN TOR and Bad IP detection tool to prevent Fraud, stolen content, and malicious users. Block proxies, VPN connections, web host IPs, TOR IPs, and compromised systems with a simple API. GeoIP lookup available.

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contribut…

emailrep.io Public API

Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker