AppTreasury Contract - Rezerve Money


Prepared by:

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HALBORN

Last Updated 06/19/2025

Date of Engagement: June 12th, 2025 - June 13th, 2025

Summary

100% of all REPORTED Findings have been addressed

All findings

14

Critical

0

High

0

Medium

0

Low

6

Informational

8


1. Summary

Rezerve Money engaged Halborn to conduct a security assessment of their AppTreasury contract beginning on June 11th, 2025 and ending on June 12th, 2025. The security assessment was scoped to the smart contract provided in the GitHub repository. Commit hash and further details can be found in the Scope section of this report.


AppTreasury is a fork of OlympusDAO’s treasury with improved logic and monetary policies. The contact was upgraded to a recent solidity version and modified to be used using proxies. Credit and debit functionalities were added to allow for features such as PSM and staking rewards to later on come into the picture.

2. Assessment Summary

Halborn was provided 2 days for the engagement and assigned one full-time security engineer to review the security of the smart contract in scope. The engineer is blockchain and smart contract security expert with advanced penetration testing and smart contract hacking skills, and deep knowledge of multiple blockchain protocols.

The purpose of the assessment is to:

    • Identify potential security issues within the smart contract.

    • Ensure that smart contract functionality operates as intended.


In summary, Halborn identified some improvements to reduce the likelihood and impact of risks, which were partially addressed by the Rezerve Money team. The main ones were the following: 

    • In the disable() function, consider removing the _toDisable address from the tokens array to be consistent with the enabledTokens mapping.

    • Make sure all inherited upgradable contracts are initialized.

    • Either add support to fee-on-transfer tokens or document that fee-on-transfer tokens are not supported.

    • Implement proper input validation in all functions.

    • Consider adding a constructor and calling the _disableinitializers() method inside.

    • Use the initializer modifier for the initial setup instead of reinitializer.

3. Test Approach and Methodology

Halborn performed a combination of manual and automated security testing to balance efficiency, timeliness, practicality, and accuracy in regard to the scope of this assessment. While manual testing is recommended to uncover flaws in logic, process, and implementation; automated testing techniques help enhance coverage of the code and can quickly identify items that do not follow the security best practices. The following phases and associated tools were used during the assessment:

    • Research into architecture and purpose.

    • Smart contract manual code review and walkthrough.

    • Graphing out functionality and contract logic/connectivity/functions (solgraph).

    • Manual assessment of use and safety for the critical Solidity variables and functions in scope to identify any arithmetic related vulnerability classes.

    • Manual testing by custom scripts.

    • Static Analysis of security for scoped contract, and imported functions (slither).


4. RISK METHODOLOGY

Every vulnerability and issue observed by Halborn is ranked based on two sets of Metrics and a Severity Coefficient. This system is inspired by the industry standard Common Vulnerability Scoring System.
The two Metric sets are: Exploitability and Impact. Exploitability captures the ease and technical means by which vulnerabilities can be exploited and Impact describes the consequences of a successful exploit.
The Severity Coefficients is designed to further refine the accuracy of the ranking with two factors: Reversibility and Scope. These capture the impact of the vulnerability on the environment as well as the number of users and smart contracts affected.
The final score is a value between 0-10 rounded up to 1 decimal place and 10 corresponding to the highest security risk. This provides an objective and accurate rating of the severity of security vulnerabilities in smart contracts.
The system is designed to assist in identifying and prioritizing vulnerabilities based on their level of risk to address the most critical issues in a timely manner.

4.1 EXPLOITABILITY

Attack Origin (AO):
Captures whether the attack requires compromising a specific account.
Attack Cost (AC):
Captures the cost of exploiting the vulnerability incurred by the attacker relative to sending a single transaction on the relevant blockchain. Includes but is not limited to financial and computational cost.
Attack Complexity (AX):
Describes the conditions beyond the attacker’s control that must exist in order to exploit the vulnerability. Includes but is not limited to macro situation, available third-party liquidity and regulatory challenges.
Metrics:
EXPLOITABILITY METRIC (mem_e)METRIC VALUENUMERICAL 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
Exploitability EE is calculated using the following formula:

E=meE = \prod m_e

4.2 IMPACT

Confidentiality (C):
Measures the impact to the confidentiality of the information resources managed by the contract due to a successfully exploited vulnerability. Confidentiality refers to limiting access to authorized users only.
Integrity (I):
Measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of data stored and/or processed on-chain. Integrity impact directly affecting Deposit or Yield records is excluded.
Availability (A):
Measures the impact to the availability of the impacted component resulting from a successfully exploited vulnerability. This metric refers to smart contract features and functionality, not state. Availability impact directly affecting Deposit or Yield is excluded.
Deposit (D):
Measures the impact to the deposits made to the contract by either users or owners.
Yield (Y):
Measures the impact to the yield generated by the contract for either users or owners.
Metrics:
IMPACT METRIC (mIm_I)METRIC VALUENUMERICAL 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
Impact II is calculated using the following formula:

I=max(mI)+mImax(mI)4I = max(m_I) + \frac{\sum{m_I} - max(m_I)}{4}

4.3 SEVERITY COEFFICIENT

Reversibility (R):
Describes the share of the exploited vulnerability effects that can be reversed. For upgradeable contracts, assume the contract private key is available.
Scope (S):
Captures whether a vulnerability in one vulnerable contract impacts resources in other contracts.
Metrics:
SEVERITY COEFFICIENT (CC)COEFFICIENT VALUENUMERICAL VALUE
Reversibility (rr)None (R:N)
Partial (R:P)
Full (R:F)
1
0.5
0.25
Scope (ss)Changed (S:C)
Unchanged (S:U)
1.25
1
Severity Coefficient CC is obtained by the following product:

C=rsC = rs

The Vulnerability Severity Score SS is obtained by:

S=min(10,EIC10)S = min(10, EIC * 10)

The score is rounded up to 1 decimal places.
SeverityScore Value Range
Critical9 - 10
High7 - 8.9
Medium4.5 - 6.9
Low2 - 4.4
Informational0 - 1.9

5. SCOPE

REPOSITORY
(a) Repository: code
(b) Assessed Commit ID: dfc77dd
(c) Items in scope:
  • contracts/AppTreasury.sol
Out-of-Scope: Third party dependencies and economic attacks.
Remediation Commit ID:
Out-of-Scope: New features/implementations after the remediation commit IDs.

6. Assessment Summary & Findings Overview

Critical

0

High

0

Medium

0

Low

6

Informational

8

Security analysisRisk levelRemediation Date
Incomplete disable() FunctionLowSolved - 06/12/2025
Missing Initialization of Inherited Upgradable ContractsLowSolved - 06/15/2025
Potential Incompatibilities With fee-on-transfer TokensLowRisk Accepted - 06/18/2025
Missing Input ValidationLowRisk Accepted - 06/18/2025
Missing _disableInitializers() Call in the ConstructorLowRisk Accepted - 06/18/2025
Misuse of reinitializer and Missing onlyInitializing on SubinitializerLowRisk Accepted - 06/18/2025
Inefficient Enabled Tokens LogicInformationalAcknowledged - 06/18/2025
Unlocked Pragma CompilerInformationalSolved - 06/14/2025
Use of Revert Strings Instead of Custom ErrorsInformationalAcknowledged - 06/18/2025
Style Guide OptimizationsInformationalAcknowledged - 06/18/2025
Consider Using Named MappingsInformationalSolved - 06/12/2025
Unsafe ERC20 Operation in UseInformationalSolved - 06/15/2025
Cache Array Length Outside of LoopInformationalAcknowledged - 06/18/2025
Inconsistent Error MessagesInformationalAcknowledged - 06/18/2025

7. Findings & Tech Details

7.1 Incomplete disable() Function

//

Low

Description
BVSS
Recommendation
Remediation Comment
Remediation Hash

7.2 Missing Initialization of Inherited Upgradable Contracts

//

Low

Description
BVSS
Recommendation
Remediation Comment
Remediation Hash

7.3 Potential Incompatibilities With fee-on-transfer Tokens

//

Low

Description
BVSS
Recommendation
Remediation Comment

7.4 Missing Input Validation

//

Low

Description
BVSS
Recommendation
Remediation Comment

7.5 Missing _disableInitializers() Call in the Constructor

//

Low

Description
BVSS
Recommendation
Remediation Comment

7.6 Misuse of reinitializer and Missing onlyInitializing on Subinitializer

//

Low

Description
BVSS
Recommendation
Remediation Comment

7.7 Inefficient Enabled Tokens Logic

//

Informational

Description
BVSS
Recommendation
Remediation Comment

7.8 Unlocked Pragma Compiler

//

Informational

Description
BVSS
Recommendation
Remediation Comment
Remediation Hash

7.9 Use of Revert Strings Instead of Custom Errors

//

Informational

Description
BVSS
Recommendation
Remediation Comment

7.10 Style Guide Optimizations

//

Informational

Description
BVSS
Recommendation
Remediation Comment

7.11 Consider Using Named Mappings

//

Informational

Description
BVSS
Recommendation
Remediation Comment
Remediation Hash

7.12 Unsafe ERC20 Operation in Use

//

Informational

Description
BVSS
Recommendation
Remediation Comment
Remediation Hash

7.13 Cache Array Length Outside of Loop

//

Informational

Description
BVSS
Recommendation
Remediation Comment

7.14 Inconsistent Error Messages

//

Informational

Description
BVSS
Recommendation
Remediation Comment

8. Automated Testing

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.