Ecosystem - Colend Protocol - Coredao


Prepared by:

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HALBORN

Last Updated 06/20/2025

Date of Engagement: April 15th, 2024 - May 3rd, 2024

Summary

100% of all REPORTED Findings have been addressed

All findings

4

Critical

0

High

0

Medium

0

Low

1

Informational

3


1. Introduction

The CoreDAO team engaged Halborn to conduct a security assessment on their smart contracts beginning on 04/15/2024 and ending on 04/30/2024. The security assessment was scoped to the smart contracts provided in the GitHub repository. Commit hashes and further details can be found in the Scope section of this report.

2. Assessment Summary

Halborn was provided 3 weeks for the engagement and assigned 1 full-time security engineer to review the security of the smart contracts in scope. The engineer is a blockchain and smart contract security experts 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 contracts.

    • Ensure that smart contract functionality operates as intended.

In summary, Halborn identified some security that were acknowledged by the Colend Team.

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 contracts, and imported functions (slither).

    • Testnet deployment (Foundry).


3.1 Out-of-scope

    • External libraries and financial-related attacks.

    • External AAVE V3 code vulnerabilities.

    • New features/implementations after/with the remediation commit IDs.

    • Changes that occur outside the scope of PRs.


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 (I:N)
Low (I:L)
Medium (I:M)
High (I:H)
Critical (I: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

Files and Repository
(a) Repository: aave-v3-core
(b) Assessed Commit ID: dad86c8
(c) Items in scope:
  • contracts/protocol/tokenization/base/ScaledBalanceTokenBase.sol
  • contracts/protocol/libraries/math/WadRayMath.sol
  • contracts/misc/AaveOracle.sol
↓ Expand ↓
Out-of-Scope: Forked code
Out-of-Scope: New features/implementations after the remediation commit IDs.

6. Assessment Summary & Findings Overview

Critical

0

High

0

Medium

0

Low

1

Informational

3

Security analysisRisk levelRemediation Date
Incorrect check for value in mapping leads to incorrect call to Pyth oracleLowRisk Accepted
New empty markets are vulnerable to price manipulationInformationalAcknowledged
Enhance AaveOracle Implementation for Future Compatibility with Other OraclesInformationalAcknowledged
Disable Borrowing on the Stabledebt tokensInformationalAcknowledged

7. Findings & Tech Details

7.1 Incorrect check for value in mapping leads to incorrect call to Pyth oracle

//

Low

Description

While reviewing the Pyth Oracle's implementation within the AaveOracle.sol contract, an issue was discovered with the second if statement in the getAssetPrice(address asset) function.

The statement incorrectly compares the priceFeedId, a variable of type bytes32, with an integer value of 0. Consequently, when the required asset does not correspond to a key in the priceFeedIds mapping, the contract will perform invalid, reverting calls to the Pyth Oracle using the default value for bytes32, because the function execution will never be halted in case of inexistent or invalid priceFeedId, because priceFeedId can never be equal to 0.

- contracts/misc/AaveOracle.sol [Lines: 102-114]

function getAssetPrice(address asset) public view override returns (uint256) {
    bytes32 priceFeedId = priceFeedIds[asset];
    if (asset == BASE_CURRENCY) return BASE_CURRENCY_UNIT;
    if (priceFeedId == 0) return 0;
    PythStructs.Price memory priceStruct = IPyth(ADDRESSES_PROVIDER.getPyth()).getPrice(
      priceFeedId
    );
    return uint256(uint64(priceStruct.price));
BVSS
Recommendation

It is recommended to modify the second if statement, so the comparison is performed between two elements of the same type - bytes32, and therefore the function will return 0, in case of invalid or non-existent priceFeedId for the required asset, effectively halting the function execution before the external call to the Pyth contract.

    if (priceFeedId == bytes32(0)) return 0;
Remediation Comment

RISK ACCEPTED: The Colend team accepted the risk of the issue.

7.2 New empty markets are vulnerable to price manipulation

//

Informational

Description

The root cause of this known vulnerability is the loss of precision during smart contract operations, which can lead to price manipulation of the underlying assets.

Specifically, when a new market is activated in the lending protocol, there is a time window that can be exploited by an attacker. During this time window, the attacker can be the first individual to supply funds in the new market, manipulating the liquidityIndex, a key factor in determining user balances. The manipulation of the liquidityIndex allows the attacker to borrow all the underlying assets, resulting in a significant loss of funds.

- contracts/protocol/tokenization/base/ScaledBalanceTokenBase.sol [Lines: 99-120]

  function _burnScaled(address user, address target, uint256 amount, uint256 index) internal {
    uint256 amountScaled = amount.rayDiv(index);
    require(amountScaled != 0, Errors.INVALID_BURN_AMOUNT);

    uint256 scaledBalance = super.balanceOf(user);
    uint256 balanceIncrease = scaledBalance.rayMul(index) -
      scaledBalance.rayMul(_userState[user].additionalData);

    _userState[user].additionalData = index.toUint128();

    _burn(user, amountScaled.toUint128());

    if (balanceIncrease > amount) {
      uint256 amountToMint = balanceIncrease - amount;
      emit Transfer(address(0), user, amountToMint);
      emit Mint(user, user, amountToMint, balanceIncrease, index);
    } else {
      uint256 amountToBurn = amount - balanceIncrease;
      emit Transfer(user, address(0), amountToBurn);
      emit Burn(user, target, amountToBurn, balanceIncrease, index);
    }
  }

The vulnerability is further exacerbated by a known rounding issue in the rayDiv function, which is used to divide two ray values. The flaw in the rayDiv function can be taken advantage of to siphon funds from the pool, resulting in a cumulative precision loss that is magnified with repeated deposit and withdrawal operations.

- contracts/protocol/libraries/math/WadRayMath.sol [Lines: 83-92]

  function rayDiv(uint256 a, uint256 b) internal pure returns (uint256 c) {
    // to avoid overflow, a <= (type(uint256).max - halfB) / RAY
    assembly {
      if or(iszero(b), iszero(iszero(gt(a, div(sub(not(0), div(b, 2)), RAY))))) {
        revert(0, 0)
      }

      c := div(add(mul(a, RAY), div(b, 2)), b)
    }
  }

BVSS
Recommendation

Consider minting minimum 1e6 token to the dead address.

Remediation Comment

ACKNOWLEDGED: The Colend team acknowledged the issue.

7.3 Enhance AaveOracle Implementation for Future Compatibility with Other Oracles

//

Informational

Description

The current implementation of the AaveOracle contract relies on Pyth as the primary source of asset prices and falls back to a secondary oracle if the Pyth price is not available or inconsistent. However, this design may limit the flexibility and extensibility of the oracle system in the future, as it is tightly coupled with Pyth and the fallback oracle.

- contracts/misc/AaveOracle.sol [Lines: 101-114]

  /// @inheritdoc IPriceOracleGetter
  function getAssetPrice(address asset) public view override returns (uint256) {
    bytes32 priceFeedId = priceFeedIds[asset];

    if (asset == BASE_CURRENCY) return BASE_CURRENCY_UNIT;

    if (priceFeedId == 0) return 0;

    PythStructs.Price memory priceStruct = IPyth(ADDRESSES_PROVIDER.getPyth()).getPrice(
      priceFeedId
    );

    return uint256(uint64(priceStruct.price));
  }

BVSS
Recommendation

It is recommended to introduce a more generic interface for price sources, allowing the integration of various oracle solutions beyond Chainlink and Pyth.

Remediation Comment

ACKNOWLEDGED: The Colend team acknowledged the issue.

7.4 Disable Borrowing on the Stabledebt tokens

//

Informational

Description

On November 4th, 2023, Aave received a report through their bug bounty program about a high severity vulnerability affecting Aave v2, which was later upgraded to a critical severity. The vulnerability impacted some assets in Aave v2 on Ethereum and Aave v3 on Optimism, Arbitrum, Avalanche, and Polygon.


However, it has been discovered that the Colend protocol, did not disable the stable debt token minting functionality in their implementation. This leaves the Colend protocol potentially vulnerable to the same security issue that affected Aave.

- contracts/protocol/tokenization/StableDebtToken.sol [Lines: 123-175]

  /// @inheritdoc IStableDebtToken
  function mint(
    address user,
    address onBehalfOf,
    uint256 amount,
    uint256 rate
  ) external virtual override onlyPool returns (bool, uint256, uint256) {
    MintLocalVars memory vars;

    if (user != onBehalfOf) {
      _decreaseBorrowAllowance(onBehalfOf, user, amount);
    }

    (, uint256 currentBalance, uint256 balanceIncrease) = _calculateBalanceIncrease(onBehalfOf);

    vars.previousSupply = totalSupply();
    vars.currentAvgStableRate = _avgStableRate;
    vars.nextSupply = _totalSupply = vars.previousSupply + amount;

    vars.amountInRay = amount.wadToRay();

    vars.currentStableRate = _userState[onBehalfOf].additionalData;
    vars.nextStableRate = (vars.currentStableRate.rayMul(currentBalance.wadToRay()) +
      vars.amountInRay.rayMul(rate)).rayDiv((currentBalance + amount).wadToRay());

    _userState[onBehalfOf].additionalData = vars.nextStableRate.toUint128();

    //solium-disable-next-line
    _totalSupplyTimestamp = _timestamps[onBehalfOf] = uint40(block.timestamp);

    // Calculates the updated average stable rate
    vars.currentAvgStableRate = _avgStableRate = (
      (vars.currentAvgStableRate.rayMul(vars.previousSupply.wadToRay()) +
        rate.rayMul(vars.amountInRay)).rayDiv(vars.nextSupply.wadToRay())
    ).toUint128();

    uint256 amountToMint = amount + balanceIncrease;
    _mint(onBehalfOf, amountToMint, vars.previousSupply);

    emit Transfer(address(0), onBehalfOf, amountToMint);
    emit Mint(
      user,
      onBehalfOf,
      amountToMint,
      currentBalance,
      balanceIncrease,
      vars.nextStableRate,
      vars.currentAvgStableRate,
      vars.nextSupply
    );

    return (currentBalance == 0, vars.nextSupply, vars.currentAvgStableRate);
  }

BVSS
Recommendation

To mitigate the risk and ensure the security of the Colend protocol, it is strongly recommended to disable the stable debt token minting functionality.

Remediation Comment

ACKNOWLEDGED: The Colend team acknowledged the issue.

8. Automated Testing

Halborn used automated testing techniques to enhance the coverage of certain areas of the smart contracts in scope. Among the tools used was Slither, a Solidity static analysis framework. After Halborn verified the smart contracts in the repository and was able to compile them correctly into their ABIs and binary format, Slither was run against the contracts. This tool can statically verify mathematical relationships between Solidity variables to detect invalid or inconsistent usage of the contracts' APIs across the entire code-base.

slither(01)

All issues identified by Slither were proved to be false positives or have been added to the issue list in this report.

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.

© Halborn 2025. All rights reserved.