Soniavasseur/Wallet-Risk-Scanner

Multi-chain crypto wallet risk scanner for AML/KYT screening. Scores addresses 0–100 using sanctions, risky contracts and fund tracing. Integrates 6 intelligence providers with failover, detects scams, hacks, mixers and phishing, supports 15+ chains, batch screening and TXT/JSON/CSV/HTML/PDF reports. Python, cross-platform.

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Multi-Service AML Screening — 15+ Chains, 6 Intel Providers [](https://python.org) [](LICENSE) []() []() []() Multi-service AML screening engine that scores any wallet address on a 0–100 risk scale.Sanctions matching, high-risk contract detection and fund source tracing —aggregated from six intelligence providers across 15+ blockchains. Features · Scoring Model · Providers · Getting Started · Configuration · Usage · FAQ Every screened wallet receives a 0–100 risk score built from three weighted dimensions: The weighted sum maps onto four operational bands: Bands and weights are fully configurable — tune them to your compliance policy in config.json. Coverage scales with configuration: 40% keyless, 90% with an Etherscan key, 100% fully configured. Dead or rate-limited providers fail over automatically. Windows: Linux / macOS: Manual: Full config.json example: How is the risk score calculated? Every wallet is evaluated across three dimensions — sanctions exposure (capped at 40 points), high-risk contract interaction (30) and fund…

Soniavasseur/Wallet-Risk-Scanner on GitHub A short preview, not the full document.

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Inside the original README — Document outline
  1. Wallet-Risk-Scanner
  2. Multi-chain crypto wallet risk scanner for AML/KYT screening. Scores addresses 0–100 using sanctions
  3. Wallet Risk Scanner
  4. Features
  5. Screening Engine
  6. Intelligence Coverage
  7. Scoring Model
  8. Intelligence Providers
  9. Supported Chains
  10. Getting Started
  11. Prerequisites
  12. Installation

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What this repository does

Multi-chain crypto wallet risk scanner for AML/KYT screening. Scores addresses 0–100 using sanctions, risky contracts and fund tracing. Integrates 6 intelligence providers with failover, detects scams, hacks, mixers and phishing, supports 15+ chains, batch screening and TXT/JSON/CSV/HTML/PDF reports. Python, cross-platform.

Repository facts

Owner
Soniavasseur
Primary language
Python
Stars
189
Forks
33
Open issues + pull requests
0
License
MIT
Archived
No
Default branch
main
Created
2026-09-22T00:07:37.000Z
Last push
2026-09-27T11:53:15.000Z

Topics and intended use

Owner-supplied topics: aml, antimoneylaundering, blockchain-intelligence, blockchain-security-solutions, crypto-osint, fraud-detection, fraudulent-transactions, honeypot-check, honeypot-detector, money-laundering-detection, payment-fraud, risk-metrics, risk-models, rug-checker, rugpull-detection, rugpull-prevention, sanctions-screening, wallet-risk, wallet-screening, wallet-tracker

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Source: GitHub. Metadata observed 2026-09-27T12:03:57.047Z. Daily imports are snapshots, not real-time monitoring.

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