Addressable integrates with a technology stack and enriches wallet and device data to produce predictive and risk signals. Its anti-fraud offering flags fraud rings, money laundering patterns and bonus abuse with wallet-level evidence. The platform describes identifying high-value users from public on-chain intelligence and is marked early access.
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A curated list of fraud detection papers from conferences including AAAI, CIKM, ICML, IJCAI, KDD, ICDM, and WWW. It also references similar collections about graph classification and other papers with implementations.
The aa419 Fake Sites Database lists suspected fraudulent websites, described as a visual answer to 419 fake sites. Each record shows a URL, site name, status, and date added and updated, along with a project label. The list can be searched and sorted, and an advanced search is offered.
A curated list of Monte Carlo tree search papers with implementations, organized by conference and journal sources including NeurIPS, ICML, CVPR, ACL, AAAI, and others. The repository also links to similar collections covering graph classification, gradient boosting, and fraud detection papers.
Criminal IP is a threat intelligence platform. It delivers AI-powered threat intelligence, IP reputation analysis, attack surface management, fraud detection, and brand protection. Users can use it to discover exposed assets, detect malicious infrastructure, and reduce cyber risk in real time.