Skip to main content
CVE-2025-13922VulnerabilityPublished Updated

CVE-2025-13922: Tag, Category, and Taxonomy Manager (WordPress plugin) · SQL Injection

Affects Tag, Category, and Taxonomy Manager (WordPress plugin)Source CVE Database V5

0

Not known to be exploited · CVSS 6.5 Medium.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
6.5Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 21% 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 6 Dec 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 2026-10-25.

What to do

Affected software

ProductAffectedFixed in
stevejburge Tag, Category, and Taxonomy Manager – AI Autotagger with OpenAIAffected
  • =0
Fixed in–

AI-suggested

Until an official fix is released, restrict Contributor-level user permissions and AI metabox access to trusted users only. Monitor for updates from the plugin vendor and apply patches promptly once available. Consider disabling or limiting the use of the AI preview AJAX endpoint if feasible.

Description

The Tag, Category, and Taxonomy Manager – AI Autotagger with OpenAI plugin for WordPress is vulnerable to time-based blind SQL Injection via the 'existing_terms_orderby' parameter in the AI preview AJAX endpoint in all versions up to, and including, 3.40.1. This is due to insufficient escaping on user-supplied parameters and lack of SQL query parameterization. This makes it possible for authenticated attackers, with Contributor-level access and above who have AI metabox permissions, to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database, cause performance degradation, or enable data inference through time-based techniques.

References

Community reviews

Loading reviews…