Discussions

I'm researching how ScamSniffer detects malicious transactions on Web3 wallets and find the tool quite effective. However, in practice, sometimes some legitimate transactions still trigger risk warnings.

I'd like to ask the community:

What criteria does ScamSniffer currently use to reduce false positives?

Is there a mechanism for learning from user feedback or reputable contract whitelists?

For new DeFi projects, how can they avoid being falsely labeled as dangerous?

I'd love to hear from the development team or those who have implemented ScamSniffer in a real-world environment.

Creat by That's Not My Neighbor