Solutions

Company

Resources

Blog

Contact

Login

    • Assurance

      Smart Contract Assessment

      Securing code integrity, protecting digital assets

      Blockchain Layer 1 Assessment

      Assessing protocols, securing blockchain foundations

      Code Security Audit

      Uncovering flaws, strengthening software integrity

      Web Application Penetration Testing

      Exposing weaknesses, fortifying digital defenses

      Cloud Infrastructure Penetration Testing

      Securing configurations, protecting critical environments

      Red Team Exercise

      Simulating real-world attacks, strengthening defenses

      AI Red Teaming

      Testing AI systems against real threats

      AI Security Assessment

      Securing AI models, data, and pipelines

    • Advisory

      AI Advisory

      Guiding secure, strategic AI adoption forward

      Risk Assessment

      From unknown threats to actionable insights

      Blockchain Architecture Assessment

      Optimizing architecture for tomorrow’s networks

      Compliance Readiness

      Stay ready as regulations evolve

      Custody and Key Management Assessment

      Securing the heart of digital custody

      Technical Due Diligence

      See the risks before you invest

      Technical Training

      Empower your teams to secure what matters

    • Who We Are

      The best security engineers in the world

      Careers

      Work with the elite

      Who Trusts Us

      The trusted security advisor for blockchain and financial services industries

      Brand

      Access official logos, fonts, and guidelines

      Service Commitments

      Committed to Protecting Your Data

    • Audits

      In-depth evaluations of smart contracts and blockchain infrastructures

      BVSS

      Blockchain Vulnerability Scoring System

      Disclosures

      All the latest vulnerabilities discovered by Halborn

      Case Studies

      How Halborn’s solutions have empowered clients to overcome security issues

      Reports

      Comprehensive reports and data

  • Blog

  • Contact

  • Login

THIS WEBSITE USES COOKIES

We use cookies to personalise content and ads, to provide social media features and to analyse our traffic. We also share information about your use of our site with our social media, advertising and analytics partners who may combine it with other information that you've provided to them or that they've collected from your use of their services. You consent to our cookies if you continue to use our website. Learn More.

STAY CURRENT WITH HALBORN

Subscribe to the monthly Halborn Digest for our top blogs and videos, major company announcements, new whitepapers, webinar and event invites, and one exclusive interview.

ADVISORY SERVICES

AI AdvisoryRisk AssessmentBlockchain Architecture AssessmentCompliance ReadinessCustody and Key Management AssessmentTechnical Due DiligenceTechnical Training

ASSURANCE SERVICES

AI Security AssessmentAI Red TeamingSmart Contract AssessmentBlockchain Layer 1 AssessmentCode Security AuditWeb Application Penetration TestingCloud Infrastructure Penetration TestingRed Team Exercise

COMPANY

Who We AreWho Trusts UsService CommitmentsCareersBrandBlogContact

RESOURCES

AuditsDisclosuresReportsBVSSCase Studies
Halborn Logo
Privacy PolicyTerms of UseVulnerability Disclosure Policy

© Halborn 2025. All rights reserved.

Background

// Security Assessment

06.10.2025 - 06.19.2025

Bera LRT Contracts

Lair Finance

Halborn logotext
← Back to Audits

Bera LRT Contracts - Lair Finance


Prepared by:

Halborn Logo

HALBORN

Last Updated 07/28/2025

Date of Engagement: June 10th, 2025 - June 19th, 2025

Summary

100% of all REPORTED Findings have been addressed

All findings

20

Critical

2

High

7

Medium

3

Low

1

Informational

7


Table of Contents

  • 1. Introduction
  • 2. Assessment summary
  • 3. Test approach and methodology
  • 4. Risk methodology
  • 5. Scope
  • 6. Assessment summary & findings overview
  • 7. Findings & Tech Details
    1. 7.1 Token1 single-stake function permanent dos due to arithmetic underflow
    2. 7.2 Incorrect refund calculation causes permanent staking dos
    3. 7.3 Token decimal mismatch in reward swaps
    4. 7.4 Incorrect minimum swap amount for non-18 decimal tokens
    5. 7.5 Oracle interface mismatch dos
    6. 7.6 Unauthorized fund transfer vulnerability enables token theft from approved users
    7. 7.7 Unit mismatch causes permanent staking failures for token0
    8. 7.8 Step-wise jumps in the reward system allows attacker to steal rewards
    9. 7.9 Mev extraction via zero-slippage reward swaps
    10. 7.10 Unsafe token approval pattern
    11. 7.11 Potential flash loan oracle manipulation
    12. 7.12 Stale ratio parameters could affect legitimate function calls
    13. 7.13 Division by zero in ratio calculations
    14. 7.14 hard-coded slippage in lp reward staking could cause reverts
    15. 7.15 Misleading function names
    16. 7.16 Duplicate code in swap functions
    17. 7.17 Inconsistent error messages
    18. 7.18 Magic numbers without named constants
    19. 7.19 Missing natspec documentation
    20. 7.20 Missing event emission for critical configuration changes
  • 8. Automated Testing

1. Introduction

Lair Finance engaged Halborn to conduct a security assessment of their smart contracts from June 10th to June 19th, 2025, with a follow-up review from July 19th to July 23rd, 2025. The scope of this assessment was limited to the smart contracts provided to the Halborn team. Commit hashes and additional details are documented in the Scope section of this report.

2. Assessment Summary

The Halborn team dedicated a total of twelve days to this engagement, deploying one full-time security engineer to evaluate the smart contracts’ security posture.

The assigned security engineer is an expert in blockchain and smart contract security, with advanced skills in penetration testing, smart contract exploitation, and a comprehensive understanding of multiple blockchain protocols.

The objectives of this assessment were to:

    • Verify that the smart contract functions operate as intended.

    • Identify potential security vulnerabilities within the smart contracts.

In summary, Halborn identified several areas for improvement to reduce both the likelihood and impact of potential risks. The Lair Finance team has partially addressed some of these recommendations. The primary suggestions include:

    • Restrict receivedToken() to internal calls to prevent unauthorized token transfers by approved users.

    • Use correct decimals for price calculations in reward swaps.

    • Verify proper Kodiak interface usage.

    • Correct arithmetic underflow in the getTokenAmountByToken1 function to prevent staking denial-of-service (DoS) via token1.

    • Fix incorrect refund logic in _stake to prevent staking reverts caused by ERC20InsufficientBalance errors.

    • Address unit mismatch between BGT and WBERA tokens during token0 swap to prevent DoS in token0 staking.

    • Mitigate front-running attacks on reward harvesting by integrating reward execution within stake and unstake flows.

    • Implement a safe token approval mechanism compatible with tokens like USDT to prevent reverts.

    • Incorporate slippage protection in reward token swaps to defend against MEV extraction.

    • Follow established smart contract best practices.

3. Test Approach and Methodology

Halborn employed a combination of manual, semi-automated, and automated security testing methods to ensure effectiveness, efficiency, and accuracy within the scope of this assessment. Manual testing was vital for uncovering issues related to logic, processes, and implementation details, while automated techniques enhanced code coverage and helped identify deviations from security best practices. The assessment involved the following phases and tools:

    • Research into the architecture and purpose of the smart contracts.

    • Manual review and walkthrough of the smart contract code.

    • Manual evaluation of critical Solidity variables and functions to identify potential vulnerability classes.

    • Manual testing using custom scripts.

    • Static security analysis of the scoped contracts and imported functions utilizing Slither.

    • Local deployment and testing with 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_eme​)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 EEE is calculated using the following formula:

E=∏meE = \prod m_eE=∏me​

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_ImI​)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 III is calculated using the following formula:

I=max(mI)+∑mI−max(mI)4I = max(m_I) + \frac{\sum{m_I} - max(m_I)}{4}I=max(mI​)+4∑mI​−max(mI​)​

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 (CCC)COEFFICIENT VALUENUMERICAL VALUE
Reversibility (rrr)None (R:N)
Partial (R:P)
Full (R:F)
1
0.5
0.25
Scope (sss)Changed (S:C)
Unchanged (S:U)
1.25
1
Severity Coefficient CCC is obtained by the following product:

C=rsC = rsC=rs

The Vulnerability Severity Score SSS is obtained by:

S=min(10,EIC∗10)S = min(10, EIC * 10)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: bughole-lsd
(b) Assessed Commit ID: 8f7bf8b
(c) Items in scope:
  • contracts/bera/infrared/IMultiRewards.sol
  • contracts/bera/kodiak/IslandRouter.sol
  • contracts/bera/kodiak/IKodiakIsland.sol
  • contracts/bera/kodiak/IUniswapV3PoolState.sol
  • contracts/bera/kodiak/IUniswapV3SwapCallback.sol
  • contracts/bera/kodiak/IV3SwapRouter.sol
  • contracts/bera/kodiak/IWETH.sol
  • contracts/bera/lair/LairBGTManager/LairBGTManager.sol
  • contracts/bera/lair/LairBGTManagerHelper/LairBGTManagerHelper.sol
  • contracts/bera/lair/enums/Dex.sol
  • contracts/bera/lair/enums/LairState.sol
  • contracts/bera/lair/interface/ILairBGTManager.sol
  • contracts/bera/lair/interface/ILairBGTManagerHelper.sol
  • contracts/bera/lair/library/Validator.sol
  • contracts/bera/lair/structs/Params.sol
  • contracts/bera/lair/structs/Token.sol
  • contracts/bera/lair/structs/Vault.sol
  • contracts/bera/lair/token/LairBGT/ILairBGTToken.sol
  • contracts/bera/lair/token/LairBGT/LairBGTToken.sol
  • contracts/bera/uniSwap/UniSwapHelper.sol
  • contracts/bera/uniSwap/IUniSwapHelper.sol
  • bug4city/bughole-lsd/commit/41fa7d927bf84a0d0413628bb2fcd0c75cecb577
  • contracts/bera/infrared/IMultiRewards.sol
  • contracts/bera/kodiak/IslandRouter.sol
  • contracts/bera/kodiak/IKodiakIsland.sol
↓ Expand ↓
Out-of-Scope: Third party dependencies and economic attacks.
Remediation Commit ID:
  • 2296ff9
  • e194449
  • e621ab7
  • 9da65b9
  • aa87bb7
  • bacb0cd
  • f33b15a
  • 19d8cca
  • 6fded73
  • 26b18e0
Out-of-Scope: New features/implementations after the remediation commit IDs.

6. Assessment Summary & Findings Overview

Critical

2

High

7

Medium

3

Low

1

Informational

7

Security analysisRisk levelRemediation Date
Token1 Single-Stake Function Permanent DoS Due to Arithmetic UnderflowCriticalSolved - 06/26/2025
Incorrect Refund Calculation causes Permanent Staking DoSCriticalSolved - 07/26/2025
Token Decimal Mismatch in Reward SwapsHighSolved - 07/25/2025
Incorrect Minimum Swap Amount for Non-18 Decimal TokensHighSolved - 07/26/2025
Oracle Interface Mismatch DoSHighSolved - 07/24/2025
Unauthorized Fund Transfer Vulnerability Enables Token Theft from Approved UsersHighSolved - 07/25/2025
Unit Mismatch Causes Permanent Staking Failures for Token0HighSolved - 06/26/2025
Step-Wise Jumps In the Reward System Allows Attacker To Steal RewardsHighSolved - 06/26/2025
MEV Extraction via Zero-Slippage Reward SwapsHighSolved - 06/26/2025
Unsafe Token Approval PatternMediumSolved - 06/26/2025
Potential Flash Loan Oracle ManipulationMediumRisk Accepted - 07/26/2025
Stale Ratio Parameters Could Affect Legitimate Function CallsMediumRisk Accepted - 07/25/2025
Division by Zero in Ratio CalculationsLowAcknowledged - 07/26/2025
Hard-coded Slippage in LP Reward Staking Could Cause RevertsInformationalSolved - 06/26/2025
Misleading Function NamesInformationalAcknowledged - 07/26/2025
Duplicate Code in Swap FunctionsInformationalAcknowledged - 07/26/2025
Inconsistent Error MessagesInformationalAcknowledged - 07/26/2025
Magic Numbers Without Named ConstantsInformationalAcknowledged - 07/26/2025
Missing NatSpec DocumentationInformationalAcknowledged - 07/26/2025
Missing Event Emission for Critical Configuration ChangesInformationalSolved - 06/26/2025

7. Findings & Tech Details

7.1 Token1 Single-Stake Function Permanent DoS Due to Arithmetic Underflow

//

Critical

Description
Proof of Concept
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:C/I:N/D:N/Y:N (10.0)
Recommendation
Remediation Comment
Remediation Hash
https://github.com/bug4city/bughole-lsd/commit/2296ff966945a9910d2302ae4bbfab1238e30298

7.2 Incorrect Refund Calculation causes Permanent Staking DoS

//

Critical

Description
Proof of Concept
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:C/I:N/D:N/Y:N (10.0)
Recommendation
Remediation Comment
Remediation Hash
https://github.com/bug4city/bughole-lsd/commit/e19444929206dfbb606e6c3a6fcd90142d32f495

7.3 Token Decimal Mismatch in Reward Swaps

//

High

Description
Proof of Concept
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:N/I:M/D:N/Y:H (8.8)
Recommendation
Remediation Comment
Remediation Hash
https://github.com/bug4city/bughole-lsd/commit/e621ab78963c776d3016e5694ffa921733402e5e

7.4 Incorrect Minimum Swap Amount for Non-18 Decimal Tokens

//

High

Description
Proof of Concept
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:N/I:M/D:N/Y:H (8.8)
Recommendation
Remediation Comment
Remediation Hash
https://github.com/bug4city/bughole-lsd/commit/9da65b9da68251881f573ff21ba175a9b038eed3

7.5 Oracle Interface Mismatch DoS

//

High

Description
Proof of Concept
BVSS
AO:A/AC:L/AX:M/R:N/S:U/C:N/A:C/I:N/D:C/Y:N (8.4)
Recommendation
Remediation Comment
Remediation Hash
https://github.com/bug4city/bughole-lsd/commit/e19444929206dfbb606e6c3a6fcd90142d32f495

7.6 Unauthorized Fund Transfer Vulnerability Enables Token Theft from Approved Users

//

High

Description
Proof of Concept
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:N/I:N/D:H/Y:N (7.5)
Recommendation
Remediation Comment
Remediation Hash
https://github.com/bug4city/bughole-lsd/commit/aa87bb70b6a1bcba003d5255ee6180416d36f3f7

7.7 Unit Mismatch Causes Permanent Staking Failures for Token0

//

High

Description
Proof of Concept
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:H/I:N/D:N/Y:N (7.5)
Recommendation
Remediation Comment
Remediation Hash
https://github.com/bug4city/bughole-lsd/commit/bacb0cd0103385a162be95b37a8e1bb783014fc3

7.8 Step-Wise Jumps In the Reward System Allows Attacker To Steal Rewards

//

High

Description
Proof of Concept
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:N/I:N/D:N/Y:H (7.5)
Recommendation
Remediation Comment
Remediation Hash
https://github.com/bug4city/bughole-lsd/commit/f33b15a22b85e5807f1556e2e11974590b548eaa

7.9 MEV Extraction via Zero-Slippage Reward Swaps

//

High

Description
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:N/I:N/D:N/Y:H (7.5)
Recommendation
Remediation Comment
Remediation Hash
https://github.com/bug4city/bughole-lsd/commit/19d8cca3ef7e055545c45c4456a96e98f2c81cc6

7.10 Unsafe Token Approval Pattern

//

Medium

Description
BVSS
AO:A/AC:L/AX:M/R:N/S:U/C:N/A:C/I:N/D:N/Y:N (6.7)
Recommendation
Remediation Comment
Remediation Hash
https://github.com/bug4city/bughole-lsd/commit/6fded73daa807cbb4f5646ccdabd87b59328dac3

7.11 Potential Flash Loan Oracle Manipulation

//

Medium

Description
BVSS
AO:A/AC:L/AX:M/R:N/S:U/C:N/A:N/I:N/D:H/Y:N (5.0)
Recommendation
Remediation Comment

7.12 Stale Ratio Parameters Could Affect Legitimate Function Calls

//

Medium

Description
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:M/I:N/D:N/Y:N (5.0)
Recommendation
Remediation Comment

7.13 Division by Zero in Ratio Calculations

//

Low

Description
BVSS
AO:S/AC:L/AX:L/R:N/S:U/C:N/A:C/I:N/D:N/Y:N (2.0)
Recommendation
Remediation Comment

7.14 Hard-coded Slippage in LP Reward Staking Could Cause Reverts

//

Informational

Description
BVSS
AO:A/AC:L/AX:M/R:P/S:U/C:N/A:M/I:N/D:N/Y:L (1.9)
Recommendation
Remediation Comment
Remediation Hash
https://github.com/bug4city/bughole-lsd/commit/19d8cca3ef7e055545c45c4456a96e98f2c81cc6

7.15 Misleading Function Names

//

Informational

Description
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:N/I:N/D:N/Y:N (0.0)
Recommendation
Remediation Comment

7.16 Duplicate Code in Swap Functions

//

Informational

Description
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:N/I:N/D:N/Y:N (0.0)
Recommendation
Remediation Comment

7.17 Inconsistent Error Messages

//

Informational

Description
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:N/I:N/D:N/Y:N (0.0)
Recommendation
Remediation Comment

7.18 Magic Numbers Without Named Constants

//

Informational

Description
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:N/I:N/D:N/Y:N (0.0)
Recommendation
Remediation Comment

7.19 Missing NatSpec Documentation

//

Informational

Description
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:N/I:N/D:N/Y:N (0.0)
Recommendation
Remediation Comment

7.20 Missing Event Emission for Critical Configuration Changes

//

Informational

Description
BVSS
AO:A/AC:L/AX:L/R:N/S:U/C:N/A:N/I:N/D:N/Y:N (0.0)
Recommendation
Remediation Comment
Remediation Hash
https://github.com/bug4city/bughole-lsd/commit/26b18e0bbd149b474bf060dbf5eb466e4fdbfec1

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.

Table of Contents

  • 1. Introduction
  • 2. Assessment summary
  • 3. Test approach and methodology
  • 4. Risk methodology
  • 5. Scope
  • 6. Assessment summary & findings overview
  • 7. Findings & Tech Details
    1. 7.1 Token1 single-stake function permanent dos due to arithmetic underflow
    2. 7.2 Incorrect refund calculation causes permanent staking dos
    3. 7.3 Token decimal mismatch in reward swaps
    4. 7.4 Incorrect minimum swap amount for non-18 decimal tokens
    5. 7.5 Oracle interface mismatch dos
    6. 7.6 Unauthorized fund transfer vulnerability enables token theft from approved users
    7. 7.7 Unit mismatch causes permanent staking failures for token0
    8. 7.8 Step-wise jumps in the reward system allows attacker to steal rewards
    9. 7.9 Mev extraction via zero-slippage reward swaps
    10. 7.10 Unsafe token approval pattern
    11. 7.11 Potential flash loan oracle manipulation
    12. 7.12 Stale ratio parameters could affect legitimate function calls
    13. 7.13 Division by zero in ratio calculations
    14. 7.14 hard-coded slippage in lp reward staking could cause reverts
    15. 7.15 Misleading function names
    16. 7.16 Duplicate code in swap functions
    17. 7.17 Inconsistent error messages
    18. 7.18 Magic numbers without named constants
    19. 7.19 Missing natspec documentation
    20. 7.20 Missing event emission for critical configuration changes
  • 8. Automated Testing

// Download the full report

Bera LRT Contracts

* Use Google Chrome for best results

** Check "Background Graphics" in the print settings if needed