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VulnerabilityPublished Updated

CVE-2024-1751: Tutor LMS (WordPress plugin) · SQL Injection

Affects Tutor LMS (WordPress plugin)Source CVE Database V5

0

Not known to be exploited · public detection template (Nuclei) · CVSS 8.8 High.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 3.1 base score
8.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
3.1% chance of exploitation in 30 days – higher than 87% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 13 Mar 2024

  2. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  3. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  4. Observed by OffSeq 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

ProductAffectedFixed in
themeum Tutor LMS – eLearning and online course solutionAffected
  • =0
Fixed in–

AI-suggested

Until an official fix is available, restrict subscriber-level access where possible and monitor for suspicious activity related to SQL queries involving the question_id parameter. Avoid exposing the vulnerable plugin on publicly accessible sites or consider disabling the plugin temporarily if feasible.

Description

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 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.

References

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