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VulnerabilityPublished Updated

CVE-2026-1800: Fonts Manager | Custom Fonts (WordPress plugin) · SQL Injection

Affects Fonts Manager | Custom Fonts (WordPress plugin)Source CVE Database V5

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Not known to be exploited · CVSS 7.5 High.

Data as of 30 Oct 2026, 11:52 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 34% 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 21 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: 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 30 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
wisdomlogixFonts Manager | Custom FontsAffected
  • <=1.2
Fixed in–

AI-suggested

Users should monitor the vendor's advisory for updates. Until a fix is released, consider disabling or removing the Fonts Manager | Custom Fonts plugin if it is not essential. Employing Web Application Firewalls (WAFs) with SQL Injection detection rules may provide temporary protection.

Description

The Fonts Manager | Custom Fonts plugin for WordPress is vulnerable to time-based SQL Injection via the ‘fmcfIdSelectedFnt’ parameter in all versions up to, and including, 1.2 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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