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VulnerabilityPublished Updated

CVE-2026-6457: Geo Mashup (WordPress plugin) · SQL Injection

Affects Geo Mashup (WordPress plugin)Source CVE Database V5

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Not known to be exploited · CVSS 6.5 Medium.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 3.1 base score
6.5Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 30% 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 2 May 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
cyberhoboGeo MashupAffected
  • <=1.13.19
Fixed in–

AI-suggested

Users should monitor the vendor's advisory channels for updates. Until a fix is released, restricting subscriber-level access or disabling the Geo Mashup plugin may reduce risk. Avoid granting unnecessary privileges to users and consider additional application-layer protections such as web application firewalls that can detect SQL injection attempts.

Description

The Geo Mashup plugin for WordPress is vulnerable to time-based blind SQL Injection via the 'geo_mashup_null_fields' parameter in all versions up to, and including, 1.13.19 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for authenticated attackers, with subscriber-level access and above, 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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