Summary
100% of all REPORTED Findings have been addressed
- 0Risk Accepted
- 1Acknowledged
- 3Solved
- 4All Findings
- Critical0
- High0
- Medium0
- Low0
- Informational4
- 3Solved
- 1Ack.
INTRODUCTION#
Colend engaged Halborn to perform a security assessment of their smart contracts starting and ending on December 4th, 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 ATokenOTC codebase in scope consists of a non-custodial OTC trading smart contract designed to create, manage, and fill offers involving Receipt Tokens and their underlying ERC-20 assets. The system implements offer lifecycle functionality with configurable per-wallet limits, an optional allowlist for supported aTokens, and pausing controls via an Ownable admin.
ASSESSMENT SUMMARY#
Halborn was allocated 1 day for this engagement and assigned 1 full-time security engineers to conduct a comprehensive review of the smart contracts within scope. The engineers are experts 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 Colend team.The main recommendations were:
If not intended, remove POOL_ADDRESS and IPool.Implement a two-step ownership transfer process.Upgrade to the latest stable version.Add a check to ensure newLimit differs from the current limit before allowing the update.
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 |
|---|---|---|---|---|
| Unused Variables and Interface | Informational | 1.7 | Solved12/04/2025 | |
| setMaxOffersPerWallet Allows Setting New Limit Equal to Existing Limit | Informational | 1.7 | Solved12/04/2025 | |
| Ownership Transfer Uses Single-Step Pattern | Informational | 1.7 | Acknowledged12/05/2025 | |
| Outdated Solidity Pragma Version | Informational | 1.7 | Solved12/04/2025 |
Findings & Tech Details#
Description
Recommendation
Description
Recommendation
Description
Recommendation
Remediation Comment
Description
Recommendation
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.
