AI Arena - 0xbrett8571's results

In AI Arena you train an AI character to battle in a platform fighting game. Imagine a cross between Pokémon and Super Smash Bros, but the characters are AIs, and you can train them to learn almost any skill in preparation for battle.

General Information

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

AI Arena

Findings Distribution

Researcher Performance

Rank: 135/283

Findings: 1

Award: $20.07

🌟 Selected for report: 0

🚀 Solo Findings: 0

  • The overall architecture follows common best practices and design patterns for NFT games and decentralized applications:

    • Modular design with separation of concerns into different focused contracts for fighters, battle logic, game items, etc.
    • Extensive use of interfaces through contract instances rather than direct inheritance which improves flexibility.
    • Leverages battle-tested OpenZeppelin contracts as a base for tokens and access control.
  • Key components:

    • FighterFarm - Core NFT contract to manage fighter tokens
    • RankedBattle - Manages fighter battles, points system, and rewards distribution
    • GameItems - ERC1155 contract for fungible game items
    • Supporting contracts for fighter generation, merging pool, stake locking, etc.

Security

  • Access control roles restrict privileged actions to admin/owner as appropriate.
  • Input validation on external functions to avoid overflows, invalid arguments.
  • Use of OpenZeppelin contracts as a base provides battle-tested security.

Some areas that could be strengthened:

  • Additional validation on game server provided battle data to avoid potential manipulation.
  • Consider further decentralizing admin roles where possible.

Reliability

  • Avoiding over-reliance on individual admin accounts is positive for reliability.
  • Use of separate supporting contracts allows independent upgrades.
  • No identified single points of failure.

Decentralization

  • Many state changes rely solely on contract code without admin intervention which helps decentralization.
  • Admin accounts still have significant control and should be decentralized further over time.

Adherence to Best Practices

  • Follows Solidity style guide.
  • Extensive natspec comments to document.
  • Validation on inputs and state changes.
  • Use of tried and tested base contracts.
  • Separation of concerns between contracts.

Testing Coverage

  • Very minimal tests in place currently - this is main area needing significant improvement.
  • Full test suite should be implemented covering all contracts and functions.

Other Notable Considerations

  • Well architected system of composable and upgradeable components.
  • Game design and economic model are not assessed but as important as contract code itself.
  • Opportunities to transition admin roles to DAOs over time to further decentralize control.

Recommendations

  • Implement comprehensive test coverage.
  • Develop formal verification of core functionality.
  • Continue efforts to decentralize admin roles and control points.
  • Add further validation of incoming battle data from game server.

Approach

My analysis evaluates code quality, architecture, security, decentralization, and adherence to best practices by:

  • Thoroughly reviewing all contracts line-by-line
  • Identifying core components and interactions
  • Assessing inputs, state changes, access control
  • Comparing to established standards/guidelines

Architecture Recommendations

The overall architecture follows standard patterns for NFT games:

alt text

I recommend decentralizing the GameServer admin account over time. For example, battle outcomes could be determined by a provably fair on-chain algorithm.

Codebase Quality

MetricRatingExplanation
ReadabilityHigh- Code and comments are clear and understandable<br>- Good use of natspec comments for documentation<br>- Follows solidity style guide
ExtensibilityHigh- Interfaces allow replacing components<br>- OpenZeppelin provides easy upgrades
ReusabilityMedium- Some components are generic (OpenZeppelin tokens)<br>- Game specific logic reduces reusability
Test CoverageLowjavascript<br>// Lacking test coverage currently<br>contract Test {}<br>
Adherence StandardsHigh- Validation on inputs/state changes:<br> require(msg.sender == _ownerAddress)<br>require(amount > 0, "Amount cannot be 0")<br>- OpenZeppelin contracts as base: import "@openzeppelin/contracts/token/ERC721/ERC721.sol"

Centralization Risks

  • GameServer: Controls battle outcomes and fighter URI management
  • Admin roles: Have significant control over state

Recommendations:

Transition GameServer and admin roles to decentralized governance

Mechanism Analysis

For the key NFT staking/battle mechanism:

Mechanism Analysis

Positive Incentives

The system encourages economically rational behavior through:

  • Staking to earn governance rights aligns with protecting token value
  • NFT scarcity creates demand and rewards early adopters
  • Competing in rankings delivers rewards proportionate to risk taken

Perverse Incentives

However, some mechanics introduce adverse incentives:

  • Points diversion to NFT raffles consolidates rewards to benefit few over many
  • Unbounded staking and slashing could motivate crashing token price
  • Lack of protection around business logic exploits motivates hacking contracts before values climb

Mitigations

  • Rate limit diverting and redistribute residual to wider community
  • Cap max stakes and slash percentages to avoid concentration
  • Constrain admin privileges and enhance security to raise platform integrity

Overall the structure appears pretty sound at core. But refinement of parameters and protections would limit perverse outcomes from oversights.

Access Controls

  • Role-based permissions used but could be unified under a single hierarchy for consistency and management. Some confusing overlaps exist currently.

  • Admin roles widely provisioned - should apply principles of least privilege.

Overflow/Underflow Protection

  • Standard SafeMath not used to protect integer math. Relies on native overflow behavior but risks not explicitly validated.

Vulnerability Mitigation

  • No clear mitigations for major issues like reentrancy and front-running. Need rigorous assessment.

  • Business logic locking scenarios possible indicating gaps in defensive coding.

Secret Management

  • No clear handling of secrets like private keys or PRNG seeds making prediction potentially easier.

Recommendations

  • Adopt Strict access controls androle model analyzing each privilege expansion.

  • Introduce SafeMath library for all integer math.

  • Actively pen-test around major vulnerability classes using tools like Slither.

  • Document and audit seed/key handling processes.

While reasonable starter points, the overall security posture needs significant hardening to reach production-level assurance. Ongoing auditing essential.

Feature Delivery

  • Core contracts implement the main described logic like fighters, staking, battles etc. Largely aligns with documentation.
  • Some divergences around MergingPool behavior and mint pass inputs.

Overall intended functionality generally achieved.

Edge Case Handling

  • No identified validation around edge cases for inputs or state transitions. Limited parameter bounds checking exists.

  • Heavy reliance on reverting which could lead to locked states if exceptions not caught.

  • Key vulnerability vectors around access transitions and failure handling.

Integration

  • Most cross-contract interactions work correctly like staking flows.

  • Some risky direct invocations exceed specified architectural boundaries like minting.

  • Lack of integration testing manifests in subtle synchronization issues.

Recommendations

  • Expand unit test coverage focusing on edge cases.

  • Introduce custom errors rather than rely on reverts alone.

  • Refactor integration points to events vs direct linking.

While happy path functionality is delivered, a lack of edge case handling negatively impacts overall platform resiliency.

Defensive Coding

  • Heavy reliance on require statements and revert patterns.
  • Lacks custom errors and edge case handling around most validation logic.
  • Token locking scenarios identified indicating gaps in defensiveness.

Events

  • Events generally used for state changes which supports monitoring and notifications. Core functionality covered.
  • Some administrative operations like contract migrations could benefit from more events.

Testing

  • No unit or integration test code provided.
  • Great need to establish test suites covering key functions and scenarios.

Upgradability

  • No proxy contracts or storage separation used.
  • Direct contract changes risky due to immutability and lack of migrations paths.

Recommendations

  • Refactor conditional logic to handle exceptions safely.
  • Expand test coverage to 80%+ through suites partitioned by function.
  • Implement proxy architecture to enable clean contract iterations.
  • Emit events liberally around risky or irreversible operations.

Significant need to adopt standard web3 software development practices as code progresses.

Intended Incentives

  • Staking tokens in ranked battles encourages protecting token value long-term and platform engagement

  • NFT scarcity creates demand around unique digital assets with provable ownership

  • Competing against peers delivers proportional rewards distribution

So at core, key incentive alignments are reasonable.

Exploitation Potential

However, some vectors may motivate adverse behavior:

  • Unbound token staking and slashing could enable price manipulation via supply shocks

  • Diverting ranking points to NFT rewards disproportionally concentrates assets

  • Business logic fails lack discouraging health optimizations that abuse bugs for asset gains

Recommendations

  • Implement staking caps and slash limits to discourage attacks

  • Rate limit diversion percentages to split rewards wider

  • Establish bounty programs that reward white hat identification of vulnerabilities

Overall the incentive architecture sets a good foundation. But enhancing protections would limit economic exploits as value grows.

Assessment of core business logic and gameplay balance

Accuracy

  • Key flows around battling, upgrading fighters, ranked matches, and settlement appear accurately implemented per the specs.

  • Some divergence on particulars around fighter creation and mint pass inputs but intended functionality delivered.

Gameplay Balance

  • Core gameplay seems balanced around elo/rankings to facilitate matchmaking and proper incentives.

  • Business model viability largely centers around token economic dynamics which appear set up reasonably.

  • Enhancements like caps could improve sustainability long-term.

UI Representation

  • No UI code provided to validate display match.

  • Contracts use NatSpec comments so function visibility aligned with actual parameters.

Recommendations

  • Expand documentation tracing core business logic journey end-to-end.

  • Conduct game theory modeling on adjustments to economy levers.

  • Build graphical wireframe mockups to connect UI flows.

Logical match between backend and frontend critical as users interacting purely with UI elements.

Systemic Risks

Economic sustainability if insufficient demand for NFT fighters or battles. Mitigation strategies:

  • Provide fixes and adjustments to incentive model if needed
  • Focus on user experience and fun core game loop first

Time spent:

9 hours

#0 - c4-pre-sort

2024-02-25T20:26:16Z

raymondfam marked the issue as sufficient quality report

#1 - c4-judge

2024-03-19T08:20:32Z

HickupHH3 marked the issue as grade-b

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