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ML for detecting dodgy contracts

Etherum Reddit

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To me it seems like one of the most common problems in crypto is dodgy smart contracts. People sign stuff from wallets that they shouldn't be signing because it leads to them losing a lot of money.

I thought it would be a good idea to train a ML model that takes in various inputs I'll list some out below to get an idea, and determines whether the contract is a scam or not (or at least generates some safeness score). I think it could also store this in a database that could be publicly available (either through an api) or maybe through a blockchain.

Examples of factors would be:

-Website age

-Github stars/presences

-Transaction history

-History of people having problems

-Website itself

-something like codex applied to the contract to understand what it does and determine if it is a scam

I think there are many more inputs that can be considered and the goal is obviously to reduce fraud in the crypto space and make it a bit more trustworthy.

What do people think?

submitted by /u/bm13131
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