Security Resilience

CVE-2024-1512

SQLi in Stylemixthemes Masterstudy Lms ≤ 3.2.5

High EPSSSQLi
Published
17 February 2024
Modified
17 June 2026
Patch / advisory
CVSS Score v3.1 9.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.78 99.6th percentile
Risk Priority 97 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2024-1512 is a critical-severity SQL Injection (CWE-89) vulnerability in Stylemixthemes Masterstudy Lms. Its CVSS base score is 9.8 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Protocol or Service Impersonation (T1001.003); ranked in the top 0.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

The MasterStudy LMS WordPress plugin for online courses and education is affected by CVE-2024-1512, a union-based SQL injection vulnerability present in all versions through 3.2.5. The flaw resides in the 'user' parameter of the /lms/stm-lms/order/items REST route, where insufficient escaping of user-supplied input and missing parameterization of the SQL query allow arbitrary query manipulation. The issue is tracked as CWE-89 and carries a CVSS 3.1 score of 9.8.

Unauthenticated attackers reachable over the network can supply crafted input to the vulnerable endpoint and append additional SQL statements to existing queries. Successful exploitation enables extraction of sensitive database contents and may extend to modification or deletion of data, resulting in full compromise of confidentiality, integrity, and availability without any authentication or user interaction.

Public references include a WordPress plugin repository changeset that implements the fix along with a detailed Wordfence advisory describing the vulnerability and its remediation. Site administrators should update the MasterStudy LMS plugin to the newest release that contains the corrected StmStatistics.php file.

The associated EPSS score remains elevated, with a current value of 0.9311 and a peak of 0.9382.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

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…

more

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.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1001.003 Protocol or Service Impersonation Command And Control
Adversaries may impersonate legitimate protocols or web service traffic to disguise command and control activity and thwart analysis efforts.
T1003 OS Credential Dumping Credential Access
Adversaries may attempt to dump credentials to obtain account login and credential material, normally in the form of a hash or a clear text password.
T1003.001 LSASS Memory Credential Access
Adversaries may attempt to access credential material stored in the process memory of the Local Security Authority Subsystem Service (LSASS).
T1003.002 Security Account Manager Credential Access
Adversaries may attempt to extract credential material from the Security Account Manager (SAM) database either through in-memory techniques or through the Windows Registry where the SAM database is stored.
T1003.003 NTDS Credential Access
Adversaries may attempt to access or create a copy of the Active Directory domain database in order to steal credential information, as well as obtain other information about domain members such as devices, users, and access rights.
T1005 Data from Local System Collection
Adversaries may search local system sources, such as file systems, configuration files, local databases, virtual machine files, or process memory, to find files of interest and sensitive data prior to Exfiltration.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-8379Same vendor: Stylemixthemes
CVE-2023-50852Same vendor: Stylemixthemes
CVE-2024-43144Same vendor: Stylemixthemes
CVE-2024-37090Same vendor: Stylemixthemes
CVE-2023-48687Shared CWE-89
CVE-2023-30092Shared CWE-89
CVE-2023-43610Shared CWE-89
CVE-2024-7676Shared CWE-89
CVE-2023-45341Shared CWE-89
CVE-2023-4851Shared CWE-89

Affected Assets

stylemixthemes
masterstudy lms
≤ 3.2.5

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

—

Validate
Prove the fix (OWASP ASVS)
  • V6.2.5

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.

Input validation directly stops untrusted data from reaching SQL query construction without neutralization.

Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.

System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
blocks

Secure SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.

PR.AT-02 partial match
blocks

Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

removes
removes
removes
removes
blocks

A.5.6 only improves knowledge flow, awareness of threats/patches and access to specialist advice; it does not stop SQL injection from being exploitable in code that still contains the flaw.

References