CVE-2026-44720: CWE-287: Improper Authentication in th30d4y OpenLearnX
OpenLearnX is an open-source, decentralized learning and assessment platform. Prior to 2.0.4, a critical authentication vulnerability was identified in OpenLearnX that could allow unauthorized access to user accounts under specific conditions. This vulnerability is fixed in 2.0.4.
AI Analysis
Technical Summary
OpenLearnX versions before 2.0.4 contain an authentication vulnerability classified under CWE-287 (Improper Authentication) and CWE-347. This flaw could permit unauthorized users to gain access to accounts without proper credentials under certain conditions. The vulnerability has a CVSS 4.0 base score of 6.9, indicating medium severity with network attack vector, low attack complexity, no privileges or user interaction required, and limited impact on integrity. The vulnerability is resolved in OpenLearnX version 2.0.4.
Potential Impact
Successful exploitation could allow an attacker to bypass authentication controls and access user accounts without authorization. This could lead to unauthorized data access or actions performed under another user's identity. However, the impact is limited to integrity and does not affect confidentiality or availability according to the CVSS vector. No known active exploitation has been reported.
Mitigation Recommendations
Upgrade OpenLearnX to version 2.0.4 or later, where this authentication vulnerability is fixed. Since no official patch or temporary fix is separately provided, updating to the fixed version is the recommended remediation. Monitor vendor advisories for any further updates or guidance.
CVE-2026-44720: CWE-287: Improper Authentication in th30d4y OpenLearnX
Description
OpenLearnX is an open-source, decentralized learning and assessment platform. Prior to 2.0.4, a critical authentication vulnerability was identified in OpenLearnX that could allow unauthorized access to user accounts under specific conditions. This vulnerability is fixed in 2.0.4.
CVSS v4.0
Score 6.9medium
Affected software
pkg:github/th30d4y/OpenLearnXRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
OpenLearnX versions before 2.0.4 contain an authentication vulnerability classified under CWE-287 (Improper Authentication) and CWE-347. This flaw could permit unauthorized users to gain access to accounts without proper credentials under certain conditions. The vulnerability has a CVSS 4.0 base score of 6.9, indicating medium severity with network attack vector, low attack complexity, no privileges or user interaction required, and limited impact on integrity. The vulnerability is resolved in OpenLearnX version 2.0.4.
Potential Impact
Successful exploitation could allow an attacker to bypass authentication controls and access user accounts without authorization. This could lead to unauthorized data access or actions performed under another user's identity. However, the impact is limited to integrity and does not affect confidentiality or availability according to the CVSS vector. No known active exploitation has been reported.
Mitigation Recommendations
Upgrade OpenLearnX to version 2.0.4 or later, where this authentication vulnerability is fixed. Since no official patch or temporary fix is separately provided, updating to the fixed version is the recommended remediation. Monitor vendor advisories for any further updates or guidance.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-05-07T18:04:17.308Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a189d28e29bf47b50227b0a
Added to database: 05/28/2026, 19:53:12 UTC
Last enriched: 06/04/2026, 20:21:49 UTC
Last updated: 07/31/2026, 19:22:59 UTC
Views: 93
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