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Bridge Smart Contracts - Dynex


Prepared by:

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HALBORN

Last Updated 10/09/2024

Date of Engagement by: September 30th, 2024 - October 2nd, 2024

Summary

100% of all REPORTED Findings have been addressed

All findings

4

Critical

0

High

0

Medium

1

Low

0

Informational

3


1. Introduction

Dynex engaged Halborn to conduct a security assessment on smart contracts beginning on 09/30/2024 and ending on 10/02/2024. The security assessment was scoped to the smart contracts provided to the Halborn team.

2. Assessment Summary

The team at Halborn dedicated 3 working days for the engagement and assigned one full-time security engineer to evaluate the security of the smart contract.

The security engineer is a blockchain and smart-contract security expert with advanced penetration testing, smart-contract hacking, and deep knowledge of multiple blockchain protocols

The purpose of this assessment is to:

    • Ensure that smart contract functions operate as intended.

    • Identify potential security issues with the smart contracts.

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

    • Potential amount restriction bypass.

    • Hard cap configuration in DNX token

3. Test Approach and Methodology

Halborn performed a combination of manual, semi-automated and automated security testing to balance efficiency, timeliness, practicality, and accuracy regarding 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 security best practices. The following phases and associated tools were used throughout the term of the assessment:

    • Research into architecture and purpose.

    • Smart contract manual code review and walk-through.

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

    • Manual testing by custom scripts.

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

    • Local deployment and testing ( Hardhat)

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:
EXPLOITABILIY 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: BridgeSmartContracts
(b) Assessed Commit ID: 67b31ae
(c) Items in scope:
  • contracts/DNX.sol
  • contracts/BridgeEVM.sol
Out-of-Scope:
Remediation Commit ID:
  • ace7208
  • bd69c74
  • 8fef370
Out-of-Scope: New features/implementations after the remediation commit IDs.

6. Assessment Summary & Findings Overview

Critical

0

High

0

Medium

1

Low

0

Informational

3

Security analysisRisk levelRemediation Date
Incorrect HARD_CAP ConfigurationMediumSolved - 10/01/2024
Incorrect minSend Check Allows Zero-Amount TransfersInformationalSolved - 10/01/2024
ERC20 Permit Functionality in sendTokensWithPermitInformationalSolved - 10/02/2024
Potential Array Length Mismatch in receiveTokensBatchInformationalSolved - 10/05/2024

7. Findings & Tech Details

7.1 Incorrect HARD_CAP Configuration

// Medium

Description

The contract defines the HARD_CAP as follows:

uint256 public constant HARD_CAP = 110_000_000 ether;   // <= 110_000_000e18

This configuration assumes 18 decimal places, which is standard for many ERC20 tokens.

However, the contract explicitly defines 9 decimal places for the DNX token:

function decimals() public view override returns (uint8) {
    return 9;
}

Due to this mismatch, the actual HARD_CAP is set to 110,000,000 * 10^18 tokens, instead of the likely intended 110,000,000 * 10^9 tokens.

This results in a HARD_CAP that is 1,000,000,000 (one billion) times larger than intended.

BVSS
Recommendation

Correct the HARD_CAP definition to align with the 9 decimal places of the DNX token:

uint256 public constant HARD_CAP = 110_000_000 * 10**9;
Remediation

SOLVED: The suggested mitigation was implemented by the Dynex team.

Remediation Hash
ace7208bb732ddbad1be4e3f9de162ffb63032f8

7.2 Incorrect minSend Check Allows Zero-Amount Transfers

// Informational

Description

The BridgeEVM contract contains a critical vulnerability in its implementation of the minSend check. The check is performed on the amountWithFee instead of the actual amount being sent, allowing for potential bypass of the minimum send limit.

The _sendTokens function checks the minSend requirement against amountWithFee:

if (minSend != 0 && amountWithFee < minSend) revert NotReachedMinLimit();

The actual amount sent is calculated as:

amount = amountWithFee - fee;

This implementation allows for a scenario where:

  • amountWithFee equals fee

  • fee is greater than or equal to minSend

  • The resulting amount sent is zero

BVSS
Recommendation

Modify the _sendTokens function to check the minSend requirement against the actual amount being sent, not amountWithFee:

uint256 actualAmount = amountWithFee - fee;
if (minSend != 0 && actualAmount < minSend) revert NotReachedMinLimit();

Remediation

SOLVED: A new check was added which ensures that minSend is always greater than fee:

if (_minSend <= _fee) revert IncorrectMinSend();
Remediation Hash
bd69c7442c9987b1fd2d7a0d4cb2b23a75bb1fed

7.3 ERC20 Permit Functionality in sendTokensWithPermit

// Informational

Description

The BridgeEVM::sendTokensWithPermit function processes a permit, suggesting support for third-party transfers.

  • However, in the _sendTokens function (called by sendTokensWithPermit), tokens are always transferred from and burned from the msg.sender:

    if (fee != 0) dnx.safeTransferFrom(msg.sender, feeWallet, fee);
    dnx.burnFrom(msg.sender, amount);
  • This implementation requires the function caller to be the token owner, negating the primary benefit of using a permit.

BVSS
Recommendation

To address this vulnerability, properly implement the permit functionality.

Remediation

ACKNOWLEDGED: The Dynex team acknowledged the finding with the following comment: "The idea of using permit in our case was to allow the user to send tokens by calling 1 transaction (send Tokens With Permit) instead of 2 (approve + sendTokens) for better UX."

7.4 Potential Array Length Mismatch in receiveTokensBatch

// Informational

Description

The receiveTokensBatch function in the BridgeEVM contract lacks a check to ensure that the lengths of the transactions and signatures arrays match. This oversight could lead to unexpected behavior and potential security risks.

function receiveTokensBatch(Transaction[] calldata transactions, bytes[] memory signatures) external {
    uint256 length = signatures.length;
    for (uint256 i = 0; i < length; ++i) {
        receiveTokens(transactions[i], signatures[i]);
    }
}

BVSS
Recommendation

Add a check at the beginning of the function to ensure array lengths match:

function receiveTokensBatch(Transaction[] calldata transactions, bytes[] memory signatures) external {
    require(transactions.length == signatures.length, "Array length mismatch");
    uint256 length = signatures.length;
    for (uint256 i = 0; i < length; ++i) {
        receiveTokens(transactions[i], signatures[i]);
    }
}
Remediation

SOLVED: The suggested mitigation was implemented by the Dynex team.

uint256 length = signatures.length;
if(length != transactions.length) revert IncorrectParameterLength();
Remediation Hash
8fef370081af804240f3948fd0e4d99090059b47

8. Automated Testing

Introduction

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.

The security team conducted a comprehensive review of all findings generated by the Slither static analysis tool.


After careful examination and consideration of the flagged issues, it was determined that within the project's specific context and scope, all were false positives. Including the reentrancy, as the call is being made to DNX contract (trusted)

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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