Ethereum Security Incident Forensics
8.7
A platform leveraging AI and machine learning to proactively identify and analyze crypto drainer attacks and other security threats on the Ethereum network. It automates the tracking of attacker behavior, flags suspicious transactions, and provides actionable intelligence to users and security firms. Includes integration with SEAL’s data.
280h
mvp estimate
8.7
viability grade
8
views
technology stack
Python
PostgreSQL
Difficult
inspired by
Ethereum Foundation teams up with SEAL to combat wallet drainers