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VulnerabilityPublished Updated

CVE-2024-12607: School Management System for Wordpress · SQL Injection

Affects School Management System for WordpressSource CVE Database V5

0

Not known to be exploited · CVSS 6.5 Medium.

Data as of 26 Oct 2026, 12:54 UTC

CVSS 3.1 base score
6.5Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 28% 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:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 7 Mar 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

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

    Not in CISA KEV and no source reports exploitation

  5. 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
dasinfomedia School Management System for WordpressAffected
  • =0
Fixed in–

AI-suggested

Until a patch is available, restrict access to users with Custom-level privileges or higher and monitor for suspicious activity related to the vulnerable AJAX action. Avoid exposing this plugin on publicly accessible sites if possible.

Description

The School Management System for Wordpress plugin for WordPress is vulnerable to SQL Injection via the 'id' parameter of the 'mj_smgt_show_event_task' AJAX action in all versions up to, and including, 92.0.0 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 Custom-level access and above, 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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