Abstract

Smart contracts are a major tool in Ethereum transactions. Therefore

hackers can exploit them by adding code vulnerabilities to their sources

and using these vulnerabilities for performing malicious transactions. This

paper presents two successful approaches for detecting malicious contracts:

one uses opcode and relies on GPT2 and the other uses the Solidity source

and a LORA fine-tuned CodeLlama. Finally, we present an XGBOOST

model that combines gas properties and Hexa-decimal signatures for detecting

   malicious transactions. This approach relies on early assumptions

that maliciousness is manifested by the uncommon usage of the contracts’

functions and the effort to pursue the transaction.

Reference

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