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https://dl.acm.org › doi
Existing methods are based on machine learning and they use transaction and liquidity data as features However

https://skynet.certik.com › tools › token-scan
Scan any token for honeypots rug pulls and scam risks in seconds Free token security checker by CertiK covering 13 blockchains

https://dl.acm.org › doi
In this paper we present TokenScout the first temporal temporal graph neural network based framework for scam

https://dl.acm.org › doi
Additionally we show that the XGBoost classifier built using these proposed features can distinguish scam tokens

https://dl.acm.org › doi › abs
Existing methods are based on machine learning and they use transaction and liquidity data as features However

https://plisio.net › defi › tools-to-identify-defi-scam-tokens
The gateway checks incoming tokens against its allowlist verifies contract address integrity rejects suspicious tokens

https://arxiv.org › abs
Large vision language models LVLMs achieve strong performance on visual reasoning tasks but remain highly

https://www.binance.com › en › square › post
Cross check the contract address across multiple official sources to ensure consistency Use Risk Assessment Tools

https://www.obsidiansecurity.com › blog › token-based-attacks-how-attacker…
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