CVE-2026-11823: BookingPress Appointment Booking Pro (WordPress plugin) · SQL Injection
Affects BookingPress Appointment Booking Pro (WordPress plugin)Source CVE Database V5
Not known to be exploited · CVSS 7.5 High.
Data as of 12 Nov 2026, 23:24 UTC
- EPSS
- 0.4% chance of exploitation in 30 days – higher than 40% 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
Disclosed: evidence found.
CVE published 1 Jul 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: 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 13 Nov 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Repute InfosystemsBookingPress Appointment Booking Pro | Affected
| Fixed in– |
AI-suggested
Until an official fix is released, users should consider disabling or restricting access to the vulnerable functionality or plugin. Applying web application firewall (WAF) rules to detect and block SQL injection attempts targeting the 'store_service_date' parameter may provide temporary mitigation.
Description
The BookingPress Appointment Booking Pro plugin for WordPress is vulnerable to SQL Injection via the 'store_service_date' parameter of the bpa_assign_staffmember_to_slots() function in versions up to and including 5.7.1. This is due to the explicit use of stripslashes_deep() on user-supplied POST data before it is interpolated verbatim into a SQL LIKE clause without use of $wpdb->prepare() or any parameterization. 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.