Omniscia Box Fun Audit
NFT Boxes Security Audit
Audit Report Revisions
| Commit Hash | Date | Audit Report Hash |
|---|---|---|
| c83f5ae113 | March 7th 2025 | e57c8cc039 |
| cc80dcfa3e | March 17th 2025 | bdf4f39d15 |
Audit Overview
We were tasked with performing an audit of the Box Fun codebase and in particular their NFT Box implementations.
The system is meant to permit users to wrap a certain amount of meme tokens per box, imposing a fee on the wrapped amount and minting an NFT on behalf of it.
These NFTs can consequently be "unwrapped" by burning them and minting a corresponding "unwrapped" NFT variant whilst releasing the previously-escrowed tokens.
To note, two distinct implementations of the same system are present; one for the Base L2 network and one for the Ethereum L1 mainnet network.
Over the course of the audit, we identified a potential scalability concern in L1 networks as well as certain minor inconsistencies within the codebase that the Box Fun team should evaluate.
We advise the Box Fun team to closely evaluate all minor-and-above findings identified in the report and promptly remediate them as well as consider all optimizational exhibits identified in the report.
Post-Audit Conclusion
The Box Fun team iterated through all findings within the report and provided us with a revised commit hash to evaluate all exhibits on.
We evaluated all alleviations performed by Box Fun and have identified that all exhibits have been adequately dealt with no outstanding issues remaining in the report.
To note, an informational notice was introduced to exhibits BDE-01C and BL2-01C that the Box Fun team should evaluate to ensure the optimizations have been securely applied.
Audit Synopsis
| Severity | Identified | Alleviated | Partially Alleviated | Acknowledged |
|---|---|---|---|---|
![]() | 0 | 0 | 0 | 0 |
![]() | 22 | 22 | 0 | 0 |
![]() | 7 | 7 | 0 | 0 |
![]() | 3 | 3 | 0 | 0 |
![]() | 0 | 0 | 0 | 0 |
During the audit, we filtered and validated a total of 15 findings utilizing static analysis tools as well as identified a total of 17 findings during the manual review of the codebase. We strongly recommend that any minor severity or higher findings are dealt with promptly prior to the project's launch as they can introduce potential misbehaviours of the system as well as exploits.
Total Alleviations
The list below covers each segment of the audit in depth and links to the respective chapter of the report:




