Types of Risk Data

GoPlus has identified and prioritized a range of critical security data types. These data types serve as the backbone of our decentralized Security Data Contribution and Verification Layer, providing comprehensive insights into potential security risks and enabling mitigation strategies. Here's an overview of these data types:

Token Security Data

This category encompasses analyses of token contracts, highlighting potential risk assessments, and token holder distribution analyses. Additionally, we have introduced an open source Token Risk Classification standard, a framework designed to categorize the various risks associated with tokens. Token security data plays a vital role in offering stakeholders a detailed understanding of the security aspects of token projects, aiding in the identification and mitigation of associated risks. This classification standard further enhances our ability to assess and communicate the nuances of token-related risks effectively.

Malicious Address Data

Malicious address data includes known blockchain addresses associated with scams, phishing, hacking and other fraudulent activities. By identifying and warning users about these addresses, this data type is crucial in preventing interaction with these malicious addresses and enhancing user security.

NFT Security Data

This category encompasses analyses of NFT contracts, highlighting potential risk assessments, and token holder distribution, NFT information analyses. NFT security data plays a vital role in offering stakeholders a detailed understanding of the security aspects of NFT projects, aiding in the identification and mitigation of associated risks.

Approval Risk Data

Approval risk data primarily focuses on potentially hazardous contracts that require user authorization, including contracts that have been compromised in hacker attacks as well as malicious contracts. When users authorize their assets to these contracts, they may face the risk of asset loss. This type of security data is crucial in helping users identify and revoke permissions to dangerous contracts, thereby preventing the authorization of their assets to these risky entities. Approval risk data serves as a vital tool in safeguarding user assets against unauthorized access and potential misuse by highlighting the risks associated with certain contract authorizations.

dApp Security Data

This category comprises security audit reports of smart contracts, known vulnerability lists, and community safety feedback. dApp security information provides a comprehensive safety assessment for dApp users, helping them avoid interactions with insecure dApps.

Specific Malicious Signature Features Data

Targeting anomalies and potential risks in blockchain transaction signatures, such as unauthorized transactions or suspicious contract calls, this data helps identify and prevent malicious activities, enhancing transaction security.

Phishing Site Data

Phishing site data involves characteristics of known phishing sites and user feedback, aimed at identifying potential phishing attacks. This data is vital in preventing users from accessing malicious websites and protecting them from data or asset theft.

Conclusion

Together, these security data types form the core of our decentralized data contribution system. By integrating and analyzing this data, the network can more effectively identify and respond to security threats, ensuring the safety of users and their assets. This collective effort lays a solid foundation for the future of digital interactions, empowering all participants to navigate the Web3 world with confidence and security. Furthermore, we plan to enrich and expand the variety of security data categories through governance and voting mechanisms in the future. This approach will enhance the diversity and coverage of our security data, strengthening the overall robustness of our security data ecosystem.