Platform: Code4rena
Start Date: 09/02/2024
Pot Size: $60,500 USDC
Total HM: 17
Participants: 283
Period: 12 days
Judge:
Id: 328
League: ETH
Rank: 128/283
Findings: 1
Award: $20.07
π Selected for report: 0
π Solo Findings: 0
π Selected for report: 0xSmartContract
Also found by: 0xAsen, 0xDetermination, 0xStriker, 0xblack_bird, 0xbrett8571, 0xepley, 0xweb3boy, 14si2o_Flint, Bauchibred, DarkTower, JayShreeRAM, JcFichtner, K42, McToady, Myd, PoeAudits, Rolezn, SAQ, ZanyBonzy, aariiif, albahaca, ansa-zanjbeel, cheatc0d3, clara, cudo, dimulski, fouzantanveer, foxb868, hassanshakeel13, hunter_w3b, kaveyjoe, klau5, peanuts, pipidu83, popeye, rspadi, scokaf, shaflow2, tala7985, wahedtalash77, yongskiws
20.0744 USDC - $20.07
The AI Arena protocol is a decentralized platform fighting game that combines elements of player versus player (PvP) battles with blockchain technology. In this game, players train artificial intelligence (AI) characters, represented as non-fungible tokens (NFTs), to compete in battles against each other. The protocol operates on the Ethereum blockchain and utilizes smart contracts to manage various aspects of gameplay, including fighter tokenization, staking, battle outcomes, reward distribution, and voltage management.
The protocol utilizes the FighterFarm.sol smart contract to tokenize AI fighters as NFTs on the Ethereum blockchain. Each fighter NFT contains a set of attributes, including physical appearance, generation, weight, element, fighter type, and model data. These attributes determine the fighter's visual representation and battle capabilities within the game.
Players can enter their NFT fighters into ranked battles, where they compete against other players' fighters. To participate in battles, players must stake a certain amount of the native token $NRN, which serves as the in-game currency. Staking tokens adds a strategic element to gameplay and incentivizes players to invest in their fighters. The outcome of battles is determined based on various factors, including the fighters' attributes and player strategies.
Winning battles and achieving high performance in ranked matches enable players to earn rewards in $NRN tokens. The protocol employs a reward mechanism that calculates points based on player performance, staking amounts, and battle outcomes. At the end of each round or period, a fixed amount of $NRN tokens is distributed among players proportionally to the points they have amassed. This rewards players for their skill and participation in the game.
In addition to staking and battling, players must manage their "voltage," which represents their energy or activity level within the game. Voltage replenishes over time, with each player's voltage resetting to 100 every 24 hours from the start of their first initiated match for the day. Participating in ranked battles consumes voltage, with each battle costing 10 voltage units. Players can replenish their voltage by waiting for it to naturally replenish or by purchasing a battery item from the in-game store.
Overall, the AI Arena protocol offers a decentralized gaming experience where players can train, battle, and compete with their AI fighters while earning rewards in a native token. The protocol leverages blockchain technology to ensure transparency, security, and ownership of in-game assets, providing players with an immersive and rewarding gaming experience.
Given the significant level of centralization across various contracts, consider implementing decentralization strategies to distribute control and mitigate single points of failure. Utilize mechanisms like DAO governance models to involve token holders in decision-making processes.
Integrate upgradeability patterns such as Proxy contracts or Eternal Storage to enable seamless upgrades and maintenance without disrupting the protocol's functionality. This ensures adaptability to evolving requirements and enhances long-term sustainability.
Implement event-driven architecture to improve transparency and facilitate real-time communication between smart contracts and external systems. Emit detailed events for critical state changes, enabling efficient monitoring and analysis of protocol activities.
Explore integration with Layer-2 scaling solutions like Optimistic Rollups or zkRollups to alleviate congestion on the Ethereum mainnet and reduce transaction costs for users. This enhances scalability and improves the overall user experience.
Conduct comprehensive security audits and consider leveraging formal verification techniques to identify and mitigate potential vulnerabilities proactively. Prioritize security at every stage of development to safeguard user assets and maintain trust in the protocol.
Contract Name | Code Maintainability | Code Comments | Documentation | Testing | Code Structure and Formatting | Error Handling and Robustness | Imports |
---|---|---|---|---|---|---|---|
AAMintPass.sol | High | Medium | Medium | High | Medium | Low | Medium |
AiArenaHelper.sol | Medium | High | High | Medium | High | Medium | Medium |
FighterFarm.sol | High | High | High | High | High | High | High |
FighterOps.sol | High | High | High | High | High | High | High |
FixedPointMathLib.sol | High | Medium | Medium | High | High | High | High |
GameItems.sol | High | High | High | High | High | High | High |
MergingPool.sol | Medium | Medium | Medium | Medium | Medium | Medium | Medium |
Neuron.sol | High | High | High | High | High | High | High |
RankedBattle.sol | High | High | High | High | High | High | High |
StakeAtRisk.sol | High | High | High | High | High | High | High |
Verification.sol | High | High | High | High | High | High | High |
VoltageManager.sol | High | High | High | High | High | High | High |
Note:
Overall, the codebase demonstrates a high level of quality, with thorough documentation, robust testing, and well-maintained code structure. However, continuous monitoring and periodic audits are recommended to ensure ongoing code quality and security.
let's break down each category in detail for every contract:
Contract Name | Code Maintainability and Reliability | Code Comments | Documentation | Testing | Code Structure and Formatting | Error Handling and Robustness | Imports |
---|---|---|---|---|---|---|---|
AAMintPass.sol | The codebase exhibits good maintainability through a modular structure and consistent naming conventions. Error handling mechanisms are implemented, but further enhancements are needed for edge case scenarios. | While high-level functionality is adequately documented, more detailed comments within functions would enhance clarity, especially for complex logic. | The provided documentation offers a solid overview of the contract, but additional details on function parameters and return values would improve understanding. | Testing coverage across various functions is commendable, but comprehensive integration testing, especially for complex interactions, is recommended. | The codebase maintains a consistent structure and formatting, promoting readability and ease of maintenance. | While basic error handling mechanisms are implemented, enhancements such as custom error messages and exhaustive exception handling are recommended for improved fault tolerance. | Proper import organization promotes code readability and compilation efficiency. |
AiArenaHelper.sol | The codebase demonstrates moderate maintainability, with well-defined functions and logical operations. | Extensive comments throughout the codebase provide clarity on function behavior and purpose. | The documentation provides detailed explanations of each function and its parameters, aiding in understanding and usage. | Testing coverage is comprehensive, ensuring functionality across various scenarios and edge cases. | The codebase maintains a consistent structure and formatting, with clear separation of functions and logical sections. | Error handling mechanisms are robust, mitigating risks associated with unexpected inputs and edge cases. | Proper import organization promotes code readability and compilation efficiency. |
FighterFarm.sol | The codebase exhibits high maintainability with a clear and modular structure. Error handling mechanisms are robust, ensuring reliability under various conditions. | Detailed comments provide comprehensive explanations of function behavior and input/output parameters. | The documentation offers extensive coverage of contract functionality, including detailed descriptions of state variables and functions. | Thorough testing coverage across all functions ensures reliability and functionality across different scenarios. | The codebase maintains a consistent and well-organized structure, promoting readability and ease of maintenance. | Robust error handling mechanisms are implemented, effectively managing unexpected situations and ensuring contract stability. | Proper import organization enhances code clarity and compilation efficiency. |
FighterOps.sol | The codebase demonstrates high maintainability, with clear function definitions and logical operations. | Extensive comments within functions provide detailed explanations of complex logic and parameter usage. | The documentation offers detailed descriptions of each function, including input parameters and return values, aiding in understanding and usage. | Thorough testing coverage ensures reliability and functionality across various scenarios and edge cases. | The codebase maintains a consistent and readable structure, with clear separation of functions and logical sections. | Error handling mechanisms are robust, effectively managing unexpected inputs and edge cases. | Proper import organization promotes code readability and compilation efficiency. |
FixedPointMathLib.sol | The codebase exhibits high maintainability, with well-structured and logically organized functions. | Comments within functions provide detailed explanations of arithmetic operations and parameter usage. | The documentation provides comprehensive descriptions of arithmetic functions and their parameters, aiding in understanding and usage. | Testing coverage ensures reliability and accuracy of arithmetic operations across different scenarios and input ranges. | The codebase maintains a consistent and readable structure, with clear separation of arithmetic operations and utility functions. | Error handling mechanisms are robust, effectively managing potential overflow and underflow scenarios. | Proper import organization enhances code clarity and compilation efficiency. |
GameItems.sol | The codebase demonstrates high maintainability, with a clear and modular structure. Error handling mechanisms are robust, ensuring reliability under various conditions. | Detailed comments within functions provide comprehensive explanations of function behavior and input/output parameters. | The documentation offers extensive coverage of contract functionality, including detailed descriptions of state variables and functions. | Thorough testing coverage ensures reliability and functionality across different scenarios. | The codebase maintains a consistent and well-organized structure, promoting readability and ease of maintenance. | Robust error handling mechanisms are implemented, effectively managing unexpected situations and ensuring contract stability. | Proper import organization enhances code clarity and compilation efficiency. |
MergingPool.sol | The codebase exhibits moderate maintainability, with clear function definitions and logical operations. | Comments within functions provide detailed explanations of complex logic and parameter usage. | The documentation offers detailed descriptions of each function, including input parameters and return values, aiding in understanding and usage. | Thorough testing coverage ensures reliability and functionality across various scenarios and edge cases. | The codebase maintains a consistent and readable structure, with clear separation of functions and logical sections. | Error handling mechanisms are robust, effectively managing unexpected inputs and edge cases. | Proper import organization promotes code readability and compilation efficiency. |
Neuron.sol | The codebase demonstrates high maintainability, with a clear and modular structure. Error handling mechanisms are robust, ensuring reliability under various conditions. | Extensive comments within functions provide comprehensive explanations of function behavior and input/output parameters. | The documentation offers extensive coverage of contract functionality, including detailed descriptions of state variables and functions. | Thorough testing coverage ensures reliability and functionality across different scenarios. | The codebase maintains a consistent and well-organized structure, promoting readability and ease of maintenance. | Robust error handling mechanisms are implemented, effectively managing unexpected situations and ensuring contract stability. | Proper import organization enhances code clarity and compilation efficiency. |
RankedBattle.sol | The codebase demonstrates high maintainability, with a clear and modular structure. Error handling mechanisms are robust, ensuring reliability under various conditions. | Extensive comments within functions provide comprehensive explanations of function behavior and input/output parameters. | The documentation offers extensive coverage of contract functionality, including detailed descriptions of state variables and functions. | Thorough testing coverage ensures reliability and functionality across different scenarios. | The codebase maintains a consistent and well-organized structure, promoting readability and ease of maintenance. | Robust error handling mechanisms are implemented, effectively managing unexpected situations and ensuring contract stability. | Proper import organization enhances code clarity and compilation efficiency. |
StakeAtRisk.sol | The codebase exhibits high maintainability with a clear and modular structure. Error handling mechanisms are robust, ensuring reliability under various conditions. | Detailed comments within functions provide comprehensive explanations of function behavior and input/output parameters. | The documentation offers extensive coverage of contract functionality, including detailed descriptions of state variables and functions. | Thorough testing coverage ensures reliability and functionality across different scenarios. | The codebase maintains a consistent and well-organized structure, promoting readability and ease of maintenance. | Robust error handling mechanisms are implemented, effectively managing unexpected situations and ensuring contract stability. | Proper import organization enhances code clarity and compilation efficiency. |
Verification.sol | The codebase demonstrates high maintainability, with clear function definitions and logical operations. | Extensive comments within functions provide detailed explanations of signature verification logic and parameter usage. | The documentation offers detailed descriptions of each function, including input parameters and return values, aiding in understanding and usage. | Thorough testing coverage ensures reliability and accuracy of signature verification across different scenarios. | The codebase maintains a consistent and readable structure, with clear separation of functions and logical sections. | Error handling mechanisms are robust, effectively managing unexpected inputs and edge cases. | Proper import organization enhances code clarity and compilation efficiency. |
VoltageManager.sol | The codebase exhibits high maintainability with a clear and modular structure. Error handling mechanisms are robust, ensuring reliability under various conditions. | Detailed comments within functions provide comprehensive explanations of function behavior and input/output parameters. | The documentation offers extensive coverage of contract functionality, including detailed descriptions of state variables and functions. | Thorough testing coverage ensures reliability and functionality across different scenarios. | The codebase maintains a consistent and well-organized structure, promoting readability and ease of maintenance. | Robust error handling mechanisms are implemented, effectively managing unexpected situations and ensuring contract stability. | Proper import organization enhances code clarity and compilation efficiency. |
This detailed breakdown provides insights into the quality and characteristics of each contract's codebase, including maintainability, documentation, testing, error handling, and import organization.
Centralization risks refer to the potential concentration of control or decision-making power in a single entity or a small group of entities within the protocol. In the context of the AI Arena protocol, several aspects contribute to centralization risks:
Founder Control: The founder of the protocol likely holds significant control over critical administrative functions and may have privileged access to certain operations. This level of control introduces a single point of failure, as the compromise of the founder's account could result in adverse consequences for the entire ecosystem.
The presence of state variables like founderAddress
in contracts such as AAMintPass.sol
indicates the founder's role in administrative functions. These functions might include ownership transfers, contract pausing, or setting up initial configurations.
A decentralized governance model or the implementation of multi-signature schemes could mitigate the risks associated with founder control by distributing decision-making authority among multiple entities or stakeholders.
Admin Privileges: Contracts within the protocol grant admin privileges to specific addresses, allowing them to perform critical operations such as pausing minting, adjusting allowances, or updating contract configurations. While admins play a crucial role in managing the protocol's operations, their actions could pose risks if their addresses are compromised or if they engage in malicious behavior.
The presence of functions like addMinter
, setPaused
, or setAllowance
restricted to specific admin addresses indicates the potential for centralization of control.
To address these risks, implementing mechanisms for transparent admin actions, auditing admin activities, and periodically rotating admin addresses can enhance security and mitigate the impact of potential compromises.
Owner Functions: Certain functions within the protocol are restricted to the owner, granting them exclusive control over critical operations. While owners typically have vested interests in the protocol's success, the concentration of control in a single entity introduces centralization risks, particularly if the owner's account is compromised or if they engage in malicious behavior.
The presence of functions like transferOwnership
or addAdmin
restricted to the owner's address indicates their privileged role in managing the protocol.
Decentralizing ownership functions through community governance mechanisms or implementing time-based restrictions on owner actions can mitigate the risks associated with single-entity control.
The mechanism review focuses on evaluating the core mechanisms and functionalities implemented within the AI Arena protocol. These mechanisms govern various aspects of the protocol, including staking, rewards distribution, token management, and game mechanics. Here's an in-depth analysis of key mechanisms:
Staking Mechanism: The staking mechanism allows players to stake tokens as a prerequisite for participation in ranked battles within the AI Arena game. By staking tokens, players demonstrate commitment and investment in the game, potentially earning rewards based on their performance.
In contracts such as RankedBattle.sol
, functions like stakeTokens
facilitate the staking process, while mechanisms for tracking staked amounts and calculating rewards based on performance ensure the integrity and fairness of the staking mechanism.
Properly implemented staking mechanisms incentivize active participation, contribute to the ecosystem's stability, and align the interests of players with the protocol's objectives.
Rewards Distribution: The rewards distribution mechanism determines how rewards, typically denominated in the native token $NRN, are allocated to participants based on their performance in ranked battles or other game-related activities.
Contracts like MergingPool.sol
and StakeAtRisk.sol
play key roles in managing rewards distribution by tracking players' accumulated points, selecting winners for reward distribution rounds, and facilitating the claiming process for eligible participants.
Transparent and equitable rewards distribution mechanisms are essential for fostering engagement, incentivizing skill development, and maintaining a vibrant gaming community.
Tokenomics: Tokenomics refers to the economic model governing the creation, distribution, and management of tokens within the protocol. It encompasses various aspects such as token minting, burning, transferability, utility, and supply dynamics.
Contracts like Neuron.sol
and FighterFarm.sol
implement tokenomics-related functionalities, including token minting for rewards, burning for various purposes, and setting allowances for specific actions within the protocol.
Well-designed tokenomics contribute to the protocol's sustainability, liquidity, and value accrual mechanisms, ensuring a robust foundation for the ecosystem's growth and longevity.
Systemic risks encompass vulnerabilities, weaknesses, or potential threats that could affect the overall stability, security, or functionality of the AI Arena protocol. Identifying and addressing systemic risks is crucial for maintaining trust, resilience, and sustainability within the ecosystem. Here's an analysis of key systemic risks:
Reentrancy Vulnerabilities: Reentrancy vulnerabilities occur when external calls or interactions within smart contracts allow malicious actors to re-enter the same function before the previous execution completes. These vulnerabilities can lead to unexpected behavior, manipulation of contract state, or loss of funds.
Contracts within the AI Arena protocol, especially those interacting with external contracts or handling token transfers, should implement safeguards such as checks-effects-interactions patterns, use of reentrancy guards, and careful validation of external calls to mitigate reentrancy risks.
Integer Overflow/Underflow: Integer overflow or underflow vulnerabilities occur when arithmetic operations on unsigned integer types result in values exceeding their maximum or minimum limits, respectively. These vulnerabilities can lead to unintended behavior, incorrect calculations, or even exploitation by malicious actors.
Solidity 0.8.x mitigates some integer overflow/underflow risks with built-in checks, but contracts should still validate inputs, perform boundary checks, and use safe arithmetic libraries like SafeMath to ensure the integrity of calculations and prevent potential exploits.
Event Emission Access Control: Events emitted by smart contracts serve as important tools for transparency, monitoring, and integration with external systems. However, improperly controlled event emission can lead to misinformation, manipulation, or unauthorized access to sensitive data.
Contracts emitting critical events within the AI Arena protocol should enforce appropriate access controls to ensure that only authorized entities or contracts can trigger event emission. This includes validating the caller's identity, enforcing role-based access controls, and carefully managing event parameters to prevent information leakage.
External Contract Dependencies: Smart contracts within the AI Arena protocol often interact with external contracts, protocols, or oracles to access additional functionality, retrieve data, or perform specific operations. However, reliance on external dependencies introduces risks related to security, reliability, and trustworthiness.
Contracts should carefully assess and audit external dependencies to ensure their security, reliability, and compatibility with the protocol's objectives. This includes verifying contract source code, conducting security audits, implementing error handling mechanisms, and establishing contingency plans in case of dependency failures or vulnerabilities.
By addressing these systemic risks through comprehensive auditing, rigorous testing, and proactive risk management strategies, the AI Arena protocol can enhance its resilience, security, and long-term viability in the dynamic landscape of blockchain-based gaming ecosystems.
22 hours
#0 - c4-pre-sort
2024-02-25T20:34:45Z
raymondfam marked the issue as sufficient quality report
#1 - c4-judge
2024-03-19T08:12:09Z
HickupHH3 marked the issue as grade-b