Workflow and Interaction Between the Threat Oracle and the Machine Learning Model

• The workflow begins with the threat oracle, which monitors the blockchain for new or modified contracts. Upon detecting a contract, the oracle extracts its details and passes them to the contract analysis module.

• The contract analysis module processes the contract, extracting and preparing the opcodes for analysis. This processed data is then fed into the machine learning model.

• The machine learning model analyzes the opcodes, assessing them for patterns or indicators that suggest malicious intent. The results of this analysis are then passed back to the threat oracle.

• Based on the analysis results, the threat oracle makes informed decisions on whether the contract poses a security risk and takes appropriate actions, such as blocking the interaction with the destination contract.