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EVM Smart Contracts - Secta Finance


Prepared by:

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HALBORN

Last Updated 05/21/2024

Date of Engagement: April 22nd, 2024 - May 13th, 2024

Summary

100% of all REPORTED Findings have been addressed

All findings

8

Critical

0

High

0

Medium

0

Low

4

Informational

4


1. Introduction

Secta Finance engaged Halborn to conduct a security assessment on their smart contracts beginning on April 22nd, 2024 and ending on May 10th, 2024. The security assessment was scoped to the smart contracts provided in the following GitHub repositories:

2. Assessment Summary

The team at Halborn was provided three weeks for the engagement and assigned a full-time security engineer to verify the security of the smart contracts. 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 security risks that were mostly addressed by the Secta Finance 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 contract, and imported functions. (`Slither`)

- Testnet deployment. (`Foundry`)

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: secta-token
(b) Assessed Commit ID: 2e02468
(c) Items in scope:
  • src/secta.sol
Out-of-Scope:
Files and Repository
(a) Repository: secta-smart-contracts
(b) Assessed Commit ID: c0155fb
(c) Items in scope:
  • exchange-protocol/contracts/SectaERC20.sol
  • exchange-protocol/contracts/SectaFactory.sol
  • exchange-protocol/contracts/SectaPair.sol
↓ Expand ↓
Out-of-Scope:
Files and Repository
(a) Repository: secta-v3-contracts
(b) Assessed Commit ID: ec4e787
(c) Items in scope:
  • router/contracts/SmartRouter.sol
  • router/contracts/V2SwapRouter.sol
  • router/contracts/V3SwapRouter.sol
↓ Expand ↓
Out-of-Scope:
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

4

Informational

4

Security analysisRisk levelRemediation Date
Centralization risk in IFOV2.finalWithdraw() functionLowSolved - 05/16/2024
ERC20 permits are vulnerable to griefing via frontrunningLowRisk Accepted
Direct usage of ecrecover allows signature malleabilityLowRisk Accepted
Missing disableInitializers() callLowRisk Accepted
Floating pragmaInformationalAcknowledged
Unoptimized loopsInformationalAcknowledged
Lack of a double-step transferOwnership() patternInformationalAcknowledged
Unneeded initialization of uint256 variables to 0InformationalAcknowledged

7. Findings & Tech Details

7.1 Centralization risk in IFOV2.finalWithdraw() function

//

Low

Description

The contract IFOV2 implements the function finalWithdraw():

IFOV2.finalWithdraw() function

This function allows the admins to withdraw the funds from the contract. However, there is no time restriction and admins can withdraw these funds at any time. Consequently, a malicious admin could withdraw all the funds including the users' LP tokens deposited in the contract right before the endTimestamp is reached, and before the users have harvested.

BVSS
Recommendation

It is recommended to update the finalWithdraw() function, so admins can only withdraw the funds after a cooldown period has passed. This period should allow users enough time to harvest the pools. For example:

finalWithdraw() function updated

Remediation Plan

SOLVED : The Secta Finance team solved the issue by implementing the recommended solution.

Remediation Hash

7.2 ERC20 permits are vulnerable to griefing via frontrunning

//

Low

Description

The usages of the permit ERC20 extension in the code can be frontrun by any party that witnesses transactions prior to block inclusion. This is a griefing vector that will cause user transactions to fail if the associated permit has already been consumed. See this article for more details. While the risk of this seems quite low (very little incentive to perform the attack, and if the centralized sequencer is trustworthy, it will not grief users or reveal their transaction inappropriately), it could cause a bad experience for users.

BVSS
Recommendation

Consider implementing an allowance check as a fallback if permit validation fails, so that transactions for which the permit was already consumed do no revert.

Remediation Plan

RISK ACCEPTED: The Secta Finance team accepted this risk of this finding.

References

7.3 Direct usage of ecrecover allows signature malleability

//

Low

Description

Multiple functions across the protocol codebase make use of the Ethereum-specfic ecrecover function directly to verify the given signatures. However, using ecrecover directly allows malleable (non-unique) signatures and thus is susceptible to replay attacks. Although replay attacks are not possible as the contracts correctly use different mitigations (domain separator, nonces...), ensuring the signatures are not malleable is considered a best practice (and so is checking that the_signeris different than the address(0), where address(0) means an invalid signature).

BVSS
Recommendation

It is recommended to use the recover function from OpenZeppelin's ECDSA library for signature verification.

Remediation Plan

RISK ACCEPTED: The Secta Finance team accepted this risk of this finding.

References

7.4 Missing disableInitializers() call

//

Low

Description

Multiple contracts are using the Initializable module from OpenZeppelin. In order to prevent leaving the contracts uninitialized OpenZeppelin's documentation recommends adding the _disableInitializers function in the constructor to automatically lock the contracts when they are deployed:

_disableInitializers() call
BVSS
Recommendation

Consider calling the _disableInitializers function in all the contracts' constructor.

Remediation Plan

RISK ACCEPTED: The Secta Finance team accepted this risk of this finding.

References

7.5 Floating pragma

//

Informational

Description

Contracts should be deployed with the same compiler version and flags used during development and testing. Locking the pragma helps to ensure that contracts do not accidentally get deployed using another pragma. For example, an outdated pragma version might introduce bugs that affect the contract system negatively.

BVSS
Recommendation

Consider locking the pragma version in the smart contracts. It is not recommended to use a floating pragma in production.

For example: pragma solidity 0.6.12;

Remediation Plan

ACKNOWLEDGED: The Secta Finance team acknowledged this finding.

References

7.6 Unoptimized loops

//

Informational

Description

If a loop is iterated many times, the amount of gas required to execute the function increases significantly. In Solidity, excessive looping can cause a function to use more than the maximum allowed gas, which causes the function to fail.


BVSS
Recommendation

To reduce gas consumption, it is recommended to find ways to optimize the loop or potentially break the loop into smaller batches. The following pattern can also be used:

uint256 cachedLen = array.length;
for(uint i; i < cachedLen;){
  unchecked {
    ++i;
  }
}

Remediation Plan

ACKNOWLEDGED: The Secta Finance team acknowledged this finding.

References

7.7 Lack of a double-step transferOwnership() pattern

//

Informational

Description

The current ownership transfer process for all the contracts inheriting from Ownable or OwnableUpgradeable involves the current owner calling the transferOwnership() function:

function transferOwnership(address newOwner) public virtual onlyOwner {
    require(newOwner != address(0), "Ownable: new owner is the zero address");
    _setOwner(newOwner);
}

If the nominated EOA account is not a valid account, it is entirely possible that the owner may accidentally transfer ownership to an uncontrolled account, losing the access to all functions with the onlyOwner modifier.

BVSS
Recommendation

It is recommended to implement a two-step process where the owner nominates an account and the nominated account needs to call an acceptOwnership() function for the transfer of the ownership to fully succeed. This ensures the nominated EOA account is a valid and active account. This can be easily achieved by using OpenZeppelin's Ownable2Step contract instead of Ownable:

Ownable2Step implementation

Remediation Plan

ACKNOWLEDGED: The Secta Finance team acknowledged this finding.

7.8 Unneeded initialization of uint256 variables to 0

//

Informational

Description

In the IFOV2 contract some variables are reinitialized to 0:

_calculateOfferingAndRefundingAmountsPool() function

As userRefundingAmount and taxAmountare uint256, they are already initialized to 0. userRefundingAmount = 0 reassigns the 0 to userRefundingAmount which wastes gas.


BVSS
Recommendation

It is recommended to not reinitialize the suggested local variables in order to reduce gas costs.

Remediation Plan

ACKNOWLEDGED: The Secta Finance team acknowledged this finding.

References

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.

SectToken.sol

SectToken #1SectToken #2

SectaERC20.sol

SectaERC20 #1

SectaFactory.sol

SectaFactory #1SectaFactory #2SectaFactory #3SectaFactory #4

SectaPair.sol

SectaPair #1SectaPair #2SectaPair #3SectaPair #4

SectaRouter.sol

SectaRouter #1SectaRouter #2

IFOV2.sol

IFOV2 #1IFOV2 #2IFOV2 #3

SmartRouter.sol

SmartRouter #1SmartRouter #2

V2SwapRouter.sol

V2SwapRouter.sol #1

V3SwapRouter.sol

V3SwapRouter #1V3SwapRouter #2

SectaDexFactory.sol

SectaDexFactory #1SectaDexFactory #2

SectaDexPool.sol

SectaDexPool #1SectaDexPool #2

SectaDexPoolDeployer.sol

SectaDexPoolDeployer #1

NFTDescriptorEx.sol

NFTDescriptorEx #1NFTDescriptorEx #2NFTDescriptorEx #3NFTDescriptorEx #4

NonfungiblePositionManager.sol

NonfungiblePositionManager #1NonfungiblePositionManager #2NonfungiblePositionManager #3NonfungiblePositionManager #4NonfungiblePositionManager #5

SwapRouter.sol

SwapRouter #1SwapRouter #2SwapRouter #3SwapRouter #4SwapRouter #5
  • The weak PRNG flagged by Slither is a false positive.

  • All the reentrancies flagged by Slither were checked individually and are all false positives.

  • No major issues were found by Slither.

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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