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CVE-2025-59577: CWE-362 Concurrent Execution using Shared Resource with Improper Synchronization ('Race Condition') in Stylemix MasterStudy LMS

0
Medium
VulnerabilityCVE-2025-59577cvecve-2025-59577cwe-362
Published: Mon Sep 22 2025 (09/22/2025, 18:25:54 UTC)
Source: CVE Database V5
Vendor/Project: Stylemix
Product: MasterStudy LMS

Description

Concurrent Execution using Shared Resource with Improper Synchronization ('Race Condition') vulnerability in Stylemix MasterStudy LMS allows Leveraging Race Conditions. This issue affects MasterStudy LMS: from n/a through 3.6.20.

AI-Powered Analysis

AILast updated: 09/30/2025, 01:05:29 UTC

Technical Analysis

CVE-2025-59577 is a medium-severity vulnerability classified under CWE-362, which involves a race condition due to improper synchronization during concurrent execution of shared resources in the Stylemix MasterStudy LMS product. This vulnerability affects versions up to 3.6.20 of the MasterStudy LMS platform. A race condition occurs when multiple processes or threads access and manipulate shared data concurrently without adequate synchronization mechanisms, leading to unpredictable behavior and potential exploitation. In this case, the flaw allows an attacker with at least low-level privileges (PR:L) to leverage the race condition remotely (AV:N) without requiring user interaction (UI:N). The vulnerability impacts the integrity of the system, potentially allowing an attacker to manipulate or corrupt data or application state, but it does not affect confidentiality or availability directly. The CVSS 3.1 base score is 4.3, reflecting a medium severity level. No known exploits are currently reported in the wild, and no patches have been linked yet. The vulnerability is particularly relevant for environments where multiple concurrent operations occur on shared resources within the LMS, such as enrollment processes, grading, or content management, where improper synchronization could lead to data inconsistencies or unauthorized state changes. Given the LMS nature, this could impact educational institutions or corporate training platforms relying on MasterStudy LMS for course delivery and management.

Potential Impact

For European organizations, especially educational institutions, universities, and corporate training providers using MasterStudy LMS, this vulnerability could lead to data integrity issues such as incorrect grading, unauthorized modification of course content, or manipulation of user progress records. While it does not directly compromise confidentiality or availability, the integrity impact can undermine trust in the LMS platform and disrupt learning processes. In regulated sectors like education, where data accuracy is critical, this could have compliance implications. Additionally, if exploited, it could facilitate further attacks by corrupting system state or escalating privileges indirectly. The remote exploitability without user interaction increases the risk profile, especially in multi-tenant or cloud-hosted LMS deployments common in Europe. Although no active exploits are known, the presence of this vulnerability necessitates timely attention to prevent potential future attacks.

Mitigation Recommendations

European organizations should implement the following specific mitigations: 1) Monitor Stylemix communications and security advisories closely for official patches or updates addressing CVE-2025-59577 and apply them promptly once available. 2) Until patches are released, restrict LMS administrative and privileged user access to trusted personnel only, minimizing the number of users with permissions that could trigger the race condition. 3) Employ runtime application self-protection (RASP) or web application firewalls (WAF) with custom rules to detect and block suspicious concurrent request patterns targeting shared resource operations within the LMS. 4) Conduct internal code reviews or penetration testing focused on concurrent operations and synchronization mechanisms in the LMS environment to identify and remediate similar issues. 5) Where feasible, isolate critical LMS functions or deploy rate limiting to reduce the likelihood of race condition exploitation. 6) Maintain comprehensive logging and monitoring of LMS transactions to detect anomalies indicative of race condition exploitation attempts. These measures go beyond generic advice by focusing on access control tightening, proactive detection, and operational controls tailored to the nature of the vulnerability and the LMS context.

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Technical Details

Data Version
5.1
Assigner Short Name
Patchstack
Date Reserved
2025-09-17T18:01:03.001Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 68d197d805d26ef415250947

Added to database: 9/22/2025, 6:39:20 PM

Last enriched: 9/30/2025, 1:05:29 AM

Last updated: 10/7/2025, 1:50:47 PM

Views: 8

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