Summary
100% of all REPORTED Findings have been addressed
- 2Acknowledged
- 3Risk Accepted
- 5Solved
- 10All Findings
- Critical0
- High0
- Medium0
- Low6
- 3Solved
- 3Risk A.
- Informational4
- 2Ack.
- 2Solved
INTRODUCTION#
Nuva engaged Halborn to perform a security assessment of their smart contracts from July 6th, 2026 to July 7th, 2026. 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 Nuva codebase in scope consists of an upgradeable UUPS gatekeeper contract that manages asynchronous, keeper-driven token deposits and multi-phase withdrawals with optional cross-chain bridging via Circle's CCTP.
ASSESSMENT SUMMARY#
Halborn was allocated 2 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 mostly addressed by the Nuva team. The main recommendations were:
Constrain each privileged power with an on-chain bound rather than relying on role trust alone.Grant DEFAULT_ADMIN_ROLE to the intended administrator during RemoteVault.initialize().Override renounceOwnership() to revert, consistent with the other contracts in the project, so that ownership cannot be accidentally or maliciously renounced.
TEST APPROACH AND METHODOLODY#
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).
Risk Methodology#
4.1 EXPLOITABILITY
Attack Origin (AO):
Attack Cost (AC):
Attack Complexity (AX):
Metrics:
| EXPLOITABILITY METRIC () | METRIC VALUE | NUMERICAL VALUE |
|---|---|---|
| Attack Origin (AO) | Arbitrary (AO:A) | 1 |
| Specific (AO:S) | 0.2 | |
| Attack Cost (AC) | Low (AC:L) | 1 |
| Medium (AC:M) | 0.67 | |
| High (AC:H) | 0.33 | |
| Attack Complexity (AX) | Low (AX:L) | 1 |
| Medium (AX:M) | 0.67 | |
| High (AX:H) | 0.33 |
4.2 IMPACT
Confidentiality (C):
Integrity (I):
Availability (A):
Deposit (D):
Yield (Y):
Metrics:
| IMPACT METRIC () | METRIC VALUE | NUMERICAL VALUE |
|---|---|---|
| Confidentiality (C) | None (C:N) | 0 |
| Low (C:L) | 0.25 | |
| Medium (C:M) | 0.5 | |
| High (C:H) | 0.75 | |
| Critical (C:C) | 1 | |
| Integrity (I) | None (I:N) | 0 |
| Low (I:L) | 0.25 | |
| Medium (I:M) | 0.5 | |
| High (I:H) | 0.75 | |
| Critical (I:C) | 1 | |
| Availability (A) | None (A:N) | 0 |
| Low (A:L) | 0.25 | |
| Medium (A:M) | 0.5 | |
| High (A:H) | 0.75 | |
| Critical (A:C) | 1 | |
| Deposit (D) | None (D:N) | 0 |
| Low (D:L) | 0.25 | |
| Medium (D:M) | 0.5 | |
| High (D:H) | 0.75 | |
| Critical (D:C) | 1 | |
| Yield (Y) | None (Y:N) | 0 |
| Low (Y:L) | 0.25 | |
| Medium (Y:M) | 0.5 | |
| High (Y:H) | 0.75 | |
| Critical (Y:C) | 1 |
4.3 SEVERITY COEFFICIENT
Reversibility (R):
Scope (S):
Metrics:
| SEVERITY COEFFICIENT () | COEFFICIENT VALUE | NUMERICAL VALUE |
|---|---|---|
| Reversibility () | None (R:N) | 1 |
| Partial (R:P) | 0.5 | |
| Full (R:F) | 0.25 | |
| Scope () | Changed (S:C) | 1.25 |
| Unchanged (S:U) | 1 |
| Critical | High | Medium | Low | Informational |
| 9 - 10 | 7 - 8.9 | 4.5 - 6.9 | 2 - 4.4 | 0 - 1.9 |
Scope#
Assessment Summary & Findings Overview#
# | Title | Severity | Score | Status |
|---|---|---|---|---|
| Centralization risks from unbounded privileged-role authority over funds and safety controls | Low | 2.5 | Solved07/14/2026 | |
| Broken standard role management due to unassigned DEFAULT_ADMIN_ROLE | Low | 2.0 | Risk Accepted07/14/2026 | |
| Irrecoverable administration due to missing renounce overrides | Low | 2.0 | Solved07/14/2026 | |
| Stuck settlement-phase funds due to whenNotPaused on the sole payout path | Low | 2.0 | Risk Accepted07/21/2026 | |
| Depositors have no on-chain recovery when shares are never minted | Low | 2.0 | Risk Accepted07/21/2026 | |
| Misdirected CCTP burns due to missing binding between whitelisted destination and target domain | Low | 2.0 | Solved07/14/2026 | |
| Permanent loss of shares and assets due to fixed undeliverable settlement recipient | Informational | 1.6 | Acknowledged07/21/2026 | |
| Missing rescue function leaves surplus and mistakenly-sent tokens strandable | Informational | 1.6 | Acknowledged07/21/2026 | |
| Escrow and settlement fund commingling due to unvalidated token addresses | Informational | 1.3 | Solved07/14/2026 | |
| Permit signature attempted before bridge-mode validation in depositToBridgeWithPermit | Informational | 0.0 | Solved07/14/2026 |
Findings & Tech Details#
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Disclaimer#
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.
