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Identifying and cataloging scams like honeypots, and intentional backdoors that may be present in token smart contracts within the crypto ecosystem.

Home Page: https://cryptousersecurity.github.io/token-risk-classification/

License: Apache License 2.0

Go 0.22% Makefile 0.02% Solidity 99.76%

token-risk-classificationjircs's Introduction

Token Risk Classification

Token Risk Classification(TRC) aims at identifying and cataloging scams like honeypots, and intentional backdoors that may be present in token smart contracts within the crypto ecosystem. This classification serves as:

  • A Shield against Malicious Contracts: By showcasing a defined list of malicious token contract patterns, it empowers users and project teams to recognize and steer clear of contracts with hidden intents, thereby ensuring safer interactions within the decentralized space.

  • A Testing Ground for Developers: With a clear classification of malicious patterns and real-world examples, developers creating tools to detect these malicious token smart contracts can effectively evaluate their systems against a standardized classification.

  • A Catalyst for Research: By elucidating the deceitful practices adopted in token smart contracts, we aspire to drive more research towards crypto user safety, encouraging the community to devise strategies that deter such behaviors.

  • An Educational Asset: This repository stands as an initiative to amplify awareness, serving as an informational reservoir, shedding light on potential contract pitfalls and deceitful patterns to the advantage of the community.

Features

  • Descriptions: Each pattern is thoroughly dissected, detailing its operation, potential consequences, and techniques for avoidance.
  • Real-world Samples: For each pattern, contract samples that exemplify the described malicious intent are provided, forming a practical point of reference.

Contribute

Maintaining the relevance and comprehensiveness of this repository is a joint endeavor. We earnestly welcome community contributions. For details on how to contribute, kindly refer to our Contribution Guidelines.

Acknowledgments

Our profound gratitude to all developers, researchers, and crypto enthusiasts who have been instrumental in shaping this repository. We hope to collaboratively fortify crypto user security and invite everyone to join this collective endeavor.

token-risk-classificationjircs's People

Contributors

jiachengxu avatar 0xyue avatar

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