CVE-2024-1512: MasterStudy LMS WordPress Plugin – for Online Courses and Education · SQL Injection
Affects MasterStudy LMS WordPress Plugin – for Online Courses and EducationSource CVE Database V5
Not known to be exploited · public detection template (Nuclei) · 77% EPSS · CVSS 9.8 Critical.
Data as of 26 Oct 2026, 10:12 UTC
- EPSS
- 77.7% chance of exploitation in 30 days – higher than 99% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 17 Feb 2024
Detectable: evidence found.
nuclei template: MasterStudy LMS WordPress Plugin <= 3.2.5 - SQL Injection
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| stylemix MasterStudy LMS WordPress Plugin – for Online Courses and Education | Affected
| Fixed in– |
AI-suggested
Until an official fix is released, it is recommended to restrict access to the vulnerable REST endpoint if possible and monitor for unusual activity. Avoid exposing the affected plugin to untrusted users. Follow vendor channels for updates and apply patches promptly once available.
Description
The MasterStudy LMS WordPress Plugin – for Online Courses and Education plugin for WordPress is vulnerable to union based SQL Injection via the 'user' parameter of the /lms/stm-lms/order/items REST route in all versions up to, and including, 3.2.5 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.