AmirhosseinHonardoust/Token-Tax-Abuse-Science

A deep technical exploration of how malicious smart-contract developers weaponize fee logic in ERC-20 tokens. Covers dynamic tax flipping, hidden sell traps, fee obfuscation, whitelist-based bypasses, liquidity-drain funnels, attack timelines, forensic analysis, mathematical modeling, and ML-powered detection strategies for tax abuse.

25
/ 100
Experimental

This content helps anyone evaluating or interacting with new cryptocurrency tokens to understand hidden risks. It explains how malicious developers embed misleading transaction fees into smart contracts to steal value or trap investors. It takes in smart contract code and transaction data, then provides an analysis of potential fee-based exploits, their mathematical impact, and methods for detection.

Use this if you are an investor, auditor, or platform operator who needs to identify and understand the intricate ways token transaction fees can be exploited for financial harm.

Not ideal if you are looking for general crypto trading advice or a basic introduction to tokenomics, as this is a deep, technical dive into a specific type of exploit.

cryptocurrency-auditing defi-investing smart-contract-security tokenomics-analysis fraud-detection
No Package No Dependents
Maintenance 6 / 25
Adoption 6 / 25
Maturity 13 / 25
Community 0 / 25

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16

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License

MIT

Last pushed

Nov 22, 2025

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