HKUDS OpenHarness up to 158 Conversation improper authentication
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.1 | $0-$5k | 0.00 |
Summary
A vulnerability was found in HKUDS OpenHarness up to 158. It has been rated as critical. Affected is an unknown function of the component Conversation Handler. The manipulation leads to improper authentication. This vulnerability is traded as CVE-2026-6729. It is possible to initiate the attack remotely. There is no exploit available. Upgrading the affected component is advised.
Details
A vulnerability was found in HKUDS OpenHarness up to 158. It has been rated as critical. This issue affects an unknown function of the component Conversation Handler. The manipulation with an unknown input leads to a improper authentication vulnerability. Using CWE to declare the problem leads to CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
HKUDS OpenHarness prior to PR #159 remediation contains a session key derivation vulnerability that allows authenticated participants in shared chats or threads to hijack other users' sessions by exploiting a shared ohmo session key that lacks sender identity verification. Attackers can reuse another user's conversation state and replace or interrupt their active tasks by colliding into the same session boundary through the shared chat or thread scope.
The weakness was shared by Chia Min Jun Lennon. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-6729 since 04/20/2026. The exploitation is known to be easy. The attack may be initiated remotely. The technical details are unknown and an exploit is not publicly available.
Upgrading to version 159 eliminates this vulnerability. Applying the patch 3186851c479ee714a9bb9aa6cd77017db7e589e2 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.1
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.3
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Improper authenticationCWE: CWE-287
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: OpenHarness 159
Patch: 3186851c479ee714a9bb9aa6cd77017db7e589e2
Timeline
04/20/2026 CVE reserved04/21/2026 Advisory disclosed
04/21/2026 VulDB entry created
04/21/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Researcher: Chia Min Jun Lennon
Status: Confirmed
CVE: CVE-2026-6729 (🔒)
GCVE (CVE): GCVE-0-2026-6729
GCVE (VulDB): GCVE-100-358379
Entry
Created: 04/21/2026 06:51Changes: 04/21/2026 06:51 (79)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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