• 

  example function

• 

• 

  clustering top 10 functions

• 

  transfer() vs transferFrom()

• 

  number of unique implementations for 15 most common function names

• 

  dominance of most common function

Inspiration

• eveem.org smart contract decompiler
• Identifying smart contract vulnerabilities

What it does

• Web application for exploratory analysis of the smart contracts

• Machine learning algorithm surfaces similarities between smart contract functions

• Finds known vulnerabilities in deployed smart contracts by matching patterns of code on per-function basis.

• Builds the smart contract code reuse index in the scope of the ethereum network

How we built it

• Decompiled EVM bytecode into abstract syntax tree using eveem.org
• Created indexed dataset of >800,000 functions ( reverse-engineered) deployed on mainnet
• Managed database with Google BigQuery
• Built specialized index of function implementations
• Trained ML classifier to identify similar functions from other contracts
• Built statistics dashboard
• Built contract explorer web application

Challenges we ran into

• Tried and failed to use highly complex neural network because of long training time
• Building Features from Smart contract bytecode using abstract syntax trees

Accomplishments that we're proud of

• UI/Dashboard is of immediate value to the Ethereum community
• Discovered a bug in eveem.org using ML
• Built ML model that discovered some interesting insights in contract implementations
• Statistical analysis of smart contract functionality

What's next for Contract Genius

• What can users discover with this tool?
• How can developers understand their own functions better?
• How can this tool be used to identify smart contract vulnerabilities?

About the Authors

• Will Price
• Aleksey Studnev
• Ankit Chiplunkar
• Alexander Asarov

Built With

• flask
• google-bigquery
• machine-learning
• python
• sql