CVE-2024-11726: Appointment Booking Calendar Plugin and Scheduling Plugin – BookingPress · SQL Injection
Affects Appointment Booking Calendar Plugin and Scheduling Plugin – BookingPressSource CVE Database V5
Not known to be exploited · CVSS 6.5 Medium.
Data as of 25 Oct 2026, 19:02 UTC
- EPSS
- 0.5% chance of exploitation in 30 days – higher than 42% 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:NExploitation evidence
Disclosed: evidence found.
CVE published 24 Dec 2024
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
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
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 2026-10-25.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| reputeinfosystems Appointment Booking Calendar Plugin and Scheduling Plugin – BookingPress | Affected
| Fixed in– |
AI-suggested
Until a fix is available, restrict Contributor-level access to trusted users only and monitor for suspicious activity related to the 'bookingpress_form' shortcode usage. Avoid using the vulnerable plugin versions if possible.
Description
The Appointment Booking Calendar Plugin and Scheduling Plugin – BookingPress plugin for WordPress is vulnerable to SQL Injection via the 'category' parameter of the 'bookingpress_form' shortcode in all versions up to, and including, 1.1.21 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 Contributor-level access and above, to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.