Prepared by:
HALBORN
Last Updated 10/10/2025
Date of Engagement: September 23rd, 2025 - September 30th, 2025
100% of all REPORTED Findings have been addressed
All findings
11
Critical
0
High
0
Medium
0
Low
1
Informational
10
Blueprint Finance engaged Halborn to perform a security assessment of their smart contracts from September 23rd, 2025 to September 30th, 2025. The assessment scope was limited to the smart contracts provided to Halborn. Commit hashes and additional details are available in the Scope section of this report.
The Blueprint Finance codebase in scope consists of smart contracts implementing an upgradeable vault system with asynchronous withdrawal queuing, multi-strategy asset allocation, fee splitting, and privileged strategy management.
Halborn was allocated 6 days for this engagement and assigned 1 full-time security engineer to conduct a comprehensive review of the smart contracts within scope. The engineer is an expert in blockchain and smart contract security, with advanced skills in penetration testing and smart contract exploitation, as well as extensive knowledge of multiple blockchain protocols.
The objectives of this assessment are to:
Identify potential security vulnerabilities within the smart contracts.
Verify that the smart contract functionality operates as intended.
In summary, Halborn identified several areas for improvement to reduce the likelihood and impact of security risks, which were partially addressed by the Blueprint Finance team. The primary recommendations were:
Reorder the logic in claimUsersBatch() to clear the user's claimable state before performing the external transfer.
Enforce a minimum margin between accountingValidityPeriod and cooldownPeriod in both setter functions to ensure a robust and predictable update window.
Restrict unpauseAndAdjustTotalAssets() to only allow adjustments that pass the same validation as adjustTotalAssets(), or remove the function if not strictly necessary.
Halborn conducted a combination of manual code review and automated security testing to balance efficiency, timeliness, practicality, and accuracy within the scope of this assessment. While manual testing is crucial for identifying flaws in logic, processes, and implementation, automated testing enhances coverage of smart contracts and quickly detects deviations from established security best practices.
The following phases and associated tools were employed throughout the term of the assessment:
Research into the platform's architecture, purpose and use.
Manual code review and walkthrough of smart contracts to identify any logical issues.
Comprehensive assessment of the safety and usage of critical Solidity variables and functions within scope that could lead to arithmetic-related vulnerabilities.
Local testing using custom scripts (Foundry).
Fork testing against main networks (Foundry).
Static security analysis of scoped contracts, and imported functions (Slither).
| EXPLOITABILITY METRIC () | METRIC VALUE | NUMERICAL VALUE |
|---|---|---|
| Attack Origin (AO) | Arbitrary (AO:A) Specific (AO:S) | 1 0.2 |
| Attack Cost (AC) | Low (AC:L) Medium (AC:M) High (AC:H) | 1 0.67 0.33 |
| Attack Complexity (AX) | Low (AX:L) Medium (AX:M) High (AX:H) | 1 0.67 0.33 |
| IMPACT METRIC () | METRIC VALUE | NUMERICAL VALUE |
|---|---|---|
| Confidentiality (C) | None (C:N) Low (C:L) Medium (C:M) High (C:H) Critical (C:C) | 0 0.25 0.5 0.75 1 |
| Integrity (I) | None (I:N) Low (I:L) Medium (I:M) High (I:H) Critical (I:C) | 0 0.25 0.5 0.75 1 |
| Availability (A) | None (A:N) Low (A:L) Medium (A:M) High (A:H) Critical (A:C) | 0 0.25 0.5 0.75 1 |
| Deposit (D) | None (D:N) Low (D:L) Medium (D:M) High (D:H) Critical (D:C) | 0 0.25 0.5 0.75 1 |
| Yield (Y) | None (Y:N) Low (Y:L) Medium (Y:M) High (Y:H) Critical (Y:C) | 0 0.25 0.5 0.75 1 |
| SEVERITY COEFFICIENT () | COEFFICIENT VALUE | NUMERICAL VALUE |
|---|---|---|
| Reversibility () | None (R:N) Partial (R:P) Full (R:F) | 1 0.5 0.25 |
| Scope () | Changed (S:C) Unchanged (S:U) | 1.25 1 |
| Severity | Score Value Range |
|---|---|
| Critical | 9 - 10 |
| High | 7 - 8.9 |
| Medium | 4.5 - 6.9 |
| Low | 2 - 4.4 |
| Informational | 0 - 1.9 |
Critical
0
High
0
Medium
0
Low
1
Informational
10
| Security analysis | Risk level | Remediation Date |
|---|---|---|
| Unfollowed checks-effects-interactions pattern | Low | Solved - 10/03/2025 |
| Missing input validation | Informational | Partially Solved - 10/03/2025 |
| Insufficient margin between accounting validity and cooldown periods | Informational | Solved - 10/02/2025 |
| Admin can bypass accounting guard via unpauseAndAdjustTotalAssets | Informational | Acknowledged - 10/03/2025 |
| Rounding mode mismatch in epoch asset reservation logic | Informational | Solved - 10/03/2025 |
| Incorrect storage slot constant declaration | Informational | Solved - 10/03/2025 |
| Lack of recipient validation in fee splitter enables misleading accounting | Informational | Solved - 10/03/2025 |
| Stale per-epoch totalRequestedShares value after processing | Informational | Acknowledged - 10/03/2025 |
| ReentrancyGuardUpgradeable initializer not invoked | Informational | Solved - 10/03/2025 |
| Typo in the code | Informational | Solved - 10/03/2025 |
| Redundant code | Informational | Solved - 10/03/2025 |
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Halborn strongly recommends conducting a follow-up assessment of the project either within six months or immediately following any material changes to the codebase, whichever comes first. This approach is crucial for maintaining the project’s integrity and addressing potential vulnerabilities introduced by code modifications.
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