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PatchSiren cyber security CVE debrief

CVE-2026-40766 StylemixThemes CVE debrief

A Subscriber SQL Injection vulnerability was discovered in MasterStudy LMS versions up to 3.7.25. This vulnerability allows attackers to inject malicious SQL code, potentially leading to unauthorized data access or modification. The CVSS score for this vulnerability is 8.5, indicating HIGH severity. The vulnerability was published on [cvePublishedAt] and last modified on [cveModifiedAt].

Vendor
StylemixThemes
Product
MasterStudy LMS
CVSS
HIGH 8.5
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-15
Original CVE updated
2026-06-15
Advisory published
2026-06-15
Advisory updated
2026-06-15

Who should care

Users of MasterStudy LMS versions up to 3.7.25 should be aware of this vulnerability and take necessary actions to mitigate the risk.

Technical summary

The vulnerability is a SQL Injection issue, which occurs when user input is not properly sanitized, allowing attackers to inject malicious SQL code. In this case, the vulnerability affects subscribers in MasterStudy LMS versions up to 3.7.25.

Defensive priority

HIGH

Recommended defensive actions

  • Update MasterStudy LMS to a version that is not vulnerable (if available).
  • Implement input validation and sanitization to prevent SQL injection attacks.
  • Monitor your installation for suspicious activity.

Evidence notes

Evidence for this CVE comes from Patchstack, as indicated by [ref-4].

Sources and references

Verified primary and authoritative sources

  • CVE-2026-40766 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-40766

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-40766 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-40766

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.