ML for detecting dodgy contracts

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?