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 2026. All rights reserved.

Background

// Security Assessment

01.09.2026 - 01.20.2026

HBAR Suite

HSuite

Halborn logotext
← Back to Audits

HBAR Suite - HSuite


Prepared by:

Halborn Logo

HALBORN

Last Updated 01/30/2026

Date of Engagement: January 9th, 2026 - January 20th, 2026

Summary

100% of all REPORTED Findings have been addressed

All findings

3

Critical

0

High

0

Medium

1

Low

1

Informational

1


Table of Contents

  • 1. Introduction
  • 2. Assessment summary
  • 3. Scope
  • 4. Risk methodology
  • 5. Scope
  • 6. Assessment summary & findings overview
  • 7. Findings & Tech Details
    1. 7.1 Potential unbalanced pool
    2. 7.2 Unhandled exception in /pools/balance
    3. 7.3 Large javascript file loaded on application startup

1. Introduction

HSuite engaged Halborn to conduct a web application review on their DEX application. The security assessment was scoped to application provided to Halborn to conduct the assessment.

This report contains a detailed list of findings, highlighting the severity and impact of each one and certain proposed resolutions.

2. Assessment Summary

Halborn performed a security assessment of the client’s application to evaluate the overall robustness of its core functionality and identify potential risks that could impact reliability, integrity, and user trust. The review focused on key areas of the platform, including critical backend API behavior and components related to pool operations within the DEX.

Overall, the assessment identified opportunities to strengthen how the system handles edge cases and unexpected user behavior. In particular, the review highlighted scenarios where normal user actions could lead to unintended outcomes, such as the ability to influence pool balances outside of the expected configuration, as well as cases where invalid inputs caused the application to return internal server errors. While some of these issues were not directly exploitable on their own, addressing them will improve platform stability and reduce the risk of future abuse.

It is recommended to prioritize improvements in validation, safeguards around pool operations, and general resilience controls. Implementing these measures will enhance the consistency of the platform, reduce operational risk, and provide a more reliable experience for end users.


3. Scope

    • https://testnet.silksuite.app/

    • https://testnet-sn1.hbarsuite.network

    • https://testnet-sn2.hbarsuite.network

    • https://testnet-sn3.hbarsuite.network

    • https://testnet-sn4.hbarsuite.network


4. RISK METHODOLOGY

Halborn assesses the severity of findings using either the Common Vulnerability Scoring System (CVSS) framework or the Impact/Likelihood Risk scale, depending on the engagement. CVSS is an industry standard framework for communicating characteristics and severity of vulnerabilities in software. Details can be found in the CVSS Specification Document published by F.I.R.S.T.
Vulnerabilities or issues observed by Halborn scored on the Impact/Likelihood Risk scale are measured by the LIKELIHOOD of a security incident and the IMPACT should an incident occur. This framework works for communicating the characteristics and impacts of technology vulnerabilities. The quantitative model ensures repeatable and accurate measurement while enabling users to see the underlying vulnerability characteristics that were used to generate the Risk scores. For every vulnerability, a risk level will be calculated on a scale of 5 to 1 with 5 being the highest likelihood or impact.
RISK SCALE - LIKELIHOOD
  • 5 - Almost certain an incident will occur.
  • 4 - High probability of an incident occurring.
  • 3 - Potential of a security incident in the long term.
  • 2 - Low probability of an incident occurring.
  • 1 - Very unlikely issue will cause an incident.
RISK SCALE - IMPACT
  • 5 - May cause devastating and unrecoverable impact or loss.
  • 4 - May cause a significant level of impact or loss.
  • 3 - May cause a partial impact or loss to many.
  • 2 - May cause temporary impact or loss.
  • 1 - May cause minimal or un-noticeable impact.
The risk level is then calculated using a sum of these two values, creating a value of 10 to 1 with 10 being the highest level of security risk.
Critical
High
Medium
Low
Informational
  • 10 - CRITICAL
  • 9 - 8 - HIGH
  • 7 - 6 - MEDIUM
  • 5 - 4 - LOW
  • 3 - 1 - VERY LOW AND INFORMATIONAL

5. SCOPE

Remediation Commit ID:
  • 63a9733
Out-of-Scope: New features/implementations after the remediation commit IDs.

6. Assessment Summary & Findings Overview

Critical

0

High

0

Medium

1

Low

1

Informational

1

Security analysisRisk levelRemediation Date
Potential Unbalanced PoolMediumSolved - 01/29/2026
Unhandled Exception in /pools/balanceLowSolved - 01/25/2026
Large JavaScript File Loaded on Application StartupInformationalAcknowledged

7. Findings & Tech Details

7.1 Potential Unbalanced Pool

//

Medium

Description
Proof of Concept
Score
CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:N/A:H(5.3)
Recommendation
Remediation Comment

7.2 Unhandled Exception in /pools/balance

//

Low

Description
Proof of Concept
Score
CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:L/A:N(3.1)
Recommendation
Remediation Comment
Remediation Hash
https://github.com/HSuiteNetwork/smart-node/commit/63a9733781bf11dcd10598a8e8a4e22f3912af63

7.3 Large JavaScript File Loaded on Application Startup

//

Informational

Description
Proof of Concept
Score
CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:N/A:N(0.0)
Recommendation
Remediation Comment

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. Scope
  • 4. Risk methodology
  • 5. Scope
  • 6. Assessment summary & findings overview
  • 7. Findings & Tech Details
    1. 7.1 Potential unbalanced pool
    2. 7.2 Unhandled exception in /pools/balance
    3. 7.3 Large javascript file loaded on application startup

// Download the full report

HBAR Suite

* Use Google Chrome for best results

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