CVE-2024-11728: KiviCare (WordPress plugin) · SQL Injection
Affects KiviCare (WordPress plugin)Source CVE Database V5
Public exploit available (Exploit-DB) · 13% EPSS · CVSS 7.5 High.
Data as of 26 Oct 2026, 14:05 UTC
- EPSS
- 13.6% chance of exploitation in 30 days – higher than 96% 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:N/A:NExploitation evidence
t = 0 is the CVE’s publication on cve.org
Disclosed: evidence found.
CVE published 6 Dec 2024
Detectable: evidence found.
nuclei template: KiviCare Clinic & Patient Management System (EHR) <= 3.6.4 - SQL Injection
Weaponised: evidence found.
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
Timeline
CVE ID reserved
by Wordfence
, 11 days before disclosure
CVE published
on cve.org
, t = 0
First Exploit-DB entry (opens in a new tab)
KiviCare Clinic & Patient Management System (EHR) 3.6.4 - Unauthenticated SQL Injection
, 133 days after disclosure
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 |
|---|---|---|
| iqonicdesign KiviCare – Clinic & Patient Management System (EHR) | Affected
| Fixed in– |
AI-suggested
Until an official fix is released, users should consider disabling or restricting access to the vulnerable AJAX action if possible. Monitor vendor channels for updates and apply patches promptly once available.
Description
The KiviCare – Clinic & Patient Management System (EHR) plugin for WordPress is vulnerable to SQL Injection via the 'visit_type[service_id]' parameter of the tax_calculated_data AJAX action in all versions up to, and including, 3.6.4 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.