2025-02-datingdapp/retrospective.md

Audit Findings Retrospective

Analysis of Your Findings

Finding Overview

1. H-01: Blocked User Can Call SoulboundProfileNFT::mintProfile Again

   • Originally marked as High severity
   • Actually Medium severity
   • Valid finding but severity overestimated

2. H-02: User Fund Sent to LikeRegistry::likeUser is Never Accounted

   • High severity
   • Valid finding
   • Well documented with proper severity assessment

Areas for Improvement

1. Severity Assessment

   • H-01 was overestimated as High when it should be Medium
   • Consider the following for severity assessment:
     • Immediate financial impact
     • Likelihood of exploitation
     • Complexity of the attack
     • Required preconditions

2. Impact Analysis

   • Could expand more on the real-world implications
   • Consider including specific attack scenarios
   • Quantify potential losses where possible

3. Alternative Attack Vectors

   • Could explore more variations of the attacks
   • Consider combining vulnerabilities for compound effects
   • Analyze potential bypass methods for proposed fixes

Recommendations for Future Findings

1. Severity Classification

   • Use CVSS scoring system or similar framework
   • Document severity reasoning more explicitly
   • Consider both impact and likelihood

2. Documentation Enhancement

   • Include diagrams for complex attack flows
   • Add more real-world exploitation scenarios
   • Document any assumptions made

3. Testing Methodology

   • Include more edge cases in POCs
   • Test fixes against multiple attack vectors
   • Document test coverage

Learning from Other Auditors' Findings

1. Deeper State Analysis (from M-01)

• Other auditors identified the same issue with blocked profiles but approached it differently
• They focused on the root cause (state management) rather than just the symptom
• Key learning: Always analyze how state changes affect the entire system lifecycle
• Their solution with isBlocked mapping is more robust and gas-efficient

2. Complex Scenario Modeling (from M-02)

• Impressive multi-step attack scenario involving multiple users
• Demonstrated deep understanding of business logic flaws
• Key learnings:
  • Consider how different user interactions can be combined
  • Test complex user interaction sequences
  • Think about how state resets affect future interactions
  • Pay attention to accounting mechanisms and balance tracking

3. Quality of Documentation

• Other auditors excelled in:
  • Clear step-by-step attack scenarios
  • Detailed proof of concepts with multiple actors
  • Well-structured test cases that prove the vulnerability
  • Thorough explanation of the root cause

4. Advanced Testing Techniques

• Use of descriptive console.log statements in POCs
• Creation of multiple test accounts with meaningful names
• Systematic approach to testing complex scenarios
• Clear separation of setup, execution, and verification in tests

5. Recommendations Quality

• Solutions consider:
  • Gas efficiency
  • State management
  • Future extensibility
  • Clear upgrade paths

6. Centralization Risk Analysis (from M-03)

• Identified important centralization risks in permissioned functions
• Considered user fund safety in relation to admin powers
• Key learnings:
  • Always analyze privileged functions for potential abuse
  • Consider user fund safety in relation to admin actions
  • Propose decentralized alternatives (e.g., voting mechanisms)
  • Think about user protection mechanisms

7. Smart Contract Security Patterns (from M-04)

• Excellent identification of CEI (Checks-Effects-Interactions) pattern violation
• Thorough understanding of reentrancy vectors in NFT minting
• Key learnings:
  • Always follow established security patterns
  • Consider callback functions as potential attack vectors
  • Pay attention to state updates ordering
  • Think about contract-to-contract interactions

8. Testing Innovation

From M-03 and M-04:

• Creation of specialized malicious contracts for testing
• Use of vm.prank and vm.startPrank effectively
• Clear test naming that describes the attack scenario
• Effective use of assertions to prove vulnerability impact

Additional Key Takeaways

6. Consider Centralization: Always analyze privileged functions for potential abuse and propose decentralized alternatives
7. Follow Security Patterns: Adhere to established patterns like CEI and document any necessary deviations
8. Test Edge Cases: Create specialized contracts and scenarios to test security assumptions

Conclusion

Remember to:

• Double-check severity ratings against standard frameworks
• Expand impact analysis with real-world scenarios
• Consider more complex attack vectors
• Test fixes thoroughly
• Document assumptions and limitations