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CVE-2025-14169VulnerabilityPublished Updated

CVE-2025-14169: FunnelKit (WordPress plugin) · SQL Injection

Affects FunnelKit (WordPress plugin)Source CVE Database V5

0

Not known to be exploited · CVSS 7.5 High.

Data as of 26 Oct 2026, 08:30 UTC

CVSS 3.1 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 31% 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:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 12 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 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
amans2k FunnelKit – Funnel Builder for WooCommerce CheckoutAffected
  • =0
Fixed in–

AI-suggested

Users of the FunnelKit – Funnel Builder for WooCommerce Checkout plugin should monitor the vendor's advisory channels for updates and apply any official fixes once released. Until a patch is available, consider disabling or restricting access to the vulnerable plugin to mitigate risk.

Description

The FunnelKit - Funnel Builder for WooCommerce Checkout plugin for WordPress is vulnerable to time-based blind SQL Injection via the 'opid' parameter in all versions up to, and including, 3.13.1.5 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.

References

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