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CVE-2025-2186VulnerabilityPublished Updated

CVE-2025-2186: FunnelKit Automations (WordPress plugin) · SQL Injection

Affects FunnelKit Automations (WordPress plugin)Source CVE Database V5

0

Not known to be exploited · CVSS 7.5 High.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 39% 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 22 Mar 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 2026-10-26.

What to do

Affected software

ProductAffectedFixed in
amans2k FunnelKit Automations – Email Marketing Automation and CRM for WordPress & WooCommerceAffected
  • =0
Fixed in–

AI-suggested

Until an official fix is released, users should consider disabling the FunnelKit Automations plugin or restricting access to vulnerable endpoints to trusted users only. Monitoring for updates from the vendor is strongly recommended.

Description

The Recover WooCommerce Cart Abandonment, Newsletter, Email Marketing, Marketing Automation By FunnelKit plugin for WordPress is vulnerable to SQL Injection via the ‘automationId’ parameter in all versions up to, and including, 3.5.1 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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