RatingToken is a blockchain-focused rating website based on big data analysis. Technically supported by Cheetah Blockchain Security Center, RatingToken is to provide efficient project value assessment tools for the industry. Through massive data analysis, we rate projects in a standardized process, integrate multi-dimensional data such as transaction information, smart contract lists, hype monitoring, sentiment analysis, etc., and present them graphically. This allows investors to assess risks objectively with a comprehensive understanding of projects and their potential. RatingToken will work with third-party organizations to create a data ecosystem in an open and collaborative way.
Powered by strong security technology inherited from Kingsoft Internet Security, Cheetah Blockchain Security Center is committed to providing blockchain security solutions for the industry and building a healthier blockchain ecosystem. Our research covers three areas of business security, security auditing and hype monitoring. In addition to providing blockchain business security and threat info, as well as four security audit services regarding exchanges, smart contracts, wallets, and public chains, we have independently developed a hype monitoring system and sentiment analysis system to insight industry trends.
The security team of RatingToken comprises more than 50 members, 90% of which are big data, AI and blockchain engineers.
The core members of the team are veterans of Kingsoft Antivirus, a security software program certified by West Coast Labs for Checkmark Level 1, Level 2 and Trojan, with approximately 400 million users worldwide.
Based on our extensive security experience, RatingToken is primarily focused on blockchain security. Now we provide smart contract audit and other security services.
RatingToken assesses a project from whitepaper, social media heat, technical strength, team members, industry consultants, investors, and contract scanning aspects, which are broken down into 81 indicators that are used to compute the scores for the respective project with the help of well-developed models.
The rating tool developed by RatingToken constantly optimizes its rating model in accordance with industry developments, and the model is tailored to projects at different phases, such as listed projects, projects in ICO, and ICOed projects yet to be listed. The tool provides the rating results of the analysis of big data as decision-making recommendations for potential investors.
We assess a project based on the following features:
These parameters are measured on a five-point scale with five being the highest score. Indicators in each category are given different weights to work out the project's weighted score.
A project with a lower score has a higher risk of fraud, and hence lower quality development.
A secondary objective of these parameters is to demonstrate a startup's chance for a successful ICO and further growth.
This parameter is measured on a five-point scale. A whitepaper with a higher score is of higher quality. Therefore, the whitepaper has clearer prospects and the project is more complete. The whitepaper can serve as a helpful indicator for the prospects of a project, which corresponds to the development prospects of the project's token.
RatingToken tracks community activities based on the user base and quality of the community, as well as activity on platforms including Facebook, Twitter, and Telegram to mine valuable tokens. It also applies machine learning algorithms to determine whether a community is a zombie one, and uses NLP algorithms to extract keywords from community content to evaluate the quality of the community.
This parameter is measured on a five-point scale. A higher score means users have a higher level of interest in the community's project. A high level of attention placed on the entrepreneur's audience can serve as a helpful indicator for investor interest in a project, which corresponds to the potential demand levels for the project's token.
RatingToken performs comprehensive calculations for a dozen aspects such as the frequency and quality of GitHub updates, as well as GitHub activity including Star and Fork, and compares code similarity to evaluate contract security to fully reflect the progress and presence of the project.
This parameter is measured on a five-point scale. A project with a higher score indicates higher technical strength. The technical strength of the entrepreneur can hedge the project's normal operation and, in turn, the project's token.
This parameter is measured on a five-point scale. A higher score means the team members have a higher level of competence.
RatingToken has five security detection tools targeting various aspects of a contract such as code uniformity, code logic, and security vulnerabilities.
This review is the independent expert opinion of RatingToken's independent experts and has neither involved project audits nor the assignment of investment attractiveness ratings.
The review outlines the project's scope, development vectors, product, or service features and team competence.
The token's score is calculated from the weighted data for the above items, and the data is updated in real time in accordance with market dynamics.
RatingToken uses an independently developed automated smart contract vulnerability scanning system to scan contracts on the Web in real time. The system is composed of three modules: the smart contract input module, the static scanning module, and the scan results output module.
Employing formal verification, the system is capable of fifteen types of code vulnerabilities in five categories including overflow, external access, unusual behavior, glitches, and logic circuit issues. Vulnerabilities are rated as high risk, medium risk, and low risk according to the current risk speculation situation.
Very severe. Once exploited, a high-risk vulnerability may directly result in a massive financial loss. The vulnerability has been proven, and may lead to malicious incidents in which hackers successfully steal large amounts of tokens.
Medium-risk vulnerabilities may lead to various consequences, such as double spend attacks, malicious transfers, contract execution failures, and logic errors, depending on the specific code. Some code may result in severe consequences, but attackers have to overcome a higher level of difficulty.
The code should be optimized. A glitch in the contract has been detected, which may render the contract execution unstable. Posing lower levels of risk, low-risk vulnerabilities will not lead to sizable economic losses.
Based on the severity of vulnerabilities detected during code scanning, the system scores vulnerabilities of different levels respectively, and deducts a specific amount of points for each vulnerability detected to arrive at the final score of the contract, with zero being the lowest score and five being the highest.
Projects with a lower score have vulnerabilities that pose higher risks, indicating lower quality code and hence relatively greater security risks.