AmirhosseinHonardoust/Multichain-Scam-Deployer-Graph

A cross-chain intelligence toolkit that maps suspicious smart-contract deployers across Ethereum, BSC, Arbitrum, and Base. Fetches deployer histories using Scan V2 APIs, builds a structured NetworkX graph, extracts ML-ready behavioral features, and assigns heuristic risk scores to identify scam clusters and malicious deployment patterns.

25
/ 100
Experimental

This toolkit helps blockchain security analysts, data scientists, and anti-scam teams uncover fraudulent smart contract activity across Ethereum, BSC, Arbitrum, and Base. It takes raw transaction histories for suspicious contract deployers and transforms them into a visual network graph, along with a detailed feature set. This allows you to identify scammer clusters, track malicious actors across different chains, and assess the risk of individual deployer addresses.

Use this if you need to investigate suspicious smart contract deployers, understand their cross-chain activity, or build datasets to train machine learning models for scam detection.

Not ideal if you are solely interested in analyzing individual smart contracts without tracing the deployer's broader network behavior.

blockchain-security on-chain-forensics scam-detection cryptocurrency-investigation threat-intelligence
No Package No Dependents
Maintenance 6 / 25
Adoption 6 / 25
Maturity 13 / 25
Community 0 / 25

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Stars

15

Forks

Language

Python

License

MIT

Last pushed

Nov 24, 2025

Commits (30d)

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