Security Resilience

CVE-2024-1751

SQLi in Themeum Tutor Lms ≤ 2.6.2

Published
13 March 2024
Modified
17 June 2026
Patch / advisory
CVSS Score v3.1 8.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.031 88th percentile
Risk Priority 81 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-2024-1751 is a high-severity SQL Injection (CWE-89) vulnerability in Themeum Tutor Lms. Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Protocol or Service Impersonation (T1001.003); ranked in the top 12% 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 Tutor LMS eLearning and online course plugin for WordPress is affected by a time-based SQL injection vulnerability (CWE-89) in all versions through 2.6.1. The flaw resides in the handling of the question_id parameter, where insufficient escaping of user input and inadequate parameterization of an existing SQL query allow additional clauses to be appended.

Authenticated attackers holding subscriber, student, or higher privileges can exploit the issue over the network to extract sensitive database contents. The vulnerability carries a CVSS 3.1 base score of 8.8, reflecting high impact on confidentiality, integrity, and availability under an attack that requires no user interaction.

Public references point to a corrective changeset on the WordPress plugin Trac that updates the affected code in classes/Utils.php, indicating an official patch has been issued for versions beyond 2.6.1. The associated EPSS score has remained flat at 0.3525 with no material increase observed after disclosure.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

The Tutor LMS – eLearning and online course solution plugin for WordPress is vulnerable to time-based SQL Injection via the question_id parameter in all versions up to, and including, 2.6.1 due to insufficient escaping on the user supplied parameter and…

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lack of sufficient preparation on the existing SQL query. This makes it possible for authenticated attackers, with subscriber/student access or higher, 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-2024-43282Same product: Themeum Tutor Lms
CVE-2023-25800Same product: Themeum Tutor Lms
CVE-2024-37256Same product: Themeum Tutor Lms
CVE-2023-25700Same product: Themeum Tutor Lms
CVE-2023-25990Same product: Themeum Tutor Lms
CVE-2024-4318Same product: Themeum Tutor Lms
CVE-2024-4902Same product: Themeum Tutor Lms
CVE-2024-4351Same product: Themeum Tutor Lms
CVE-2023-48687Shared CWE-89
CVE-2023-30092Shared CWE-89

Affected Assets

themeum
tutor lms
≤ 2.6.2

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