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VulnerabilityPublished Updated

CVE-2025-0723: ProfileGrid (WordPress plugin) · SQL Injection

Affects ProfileGrid (WordPress plugin)Source CVE Database V5

0

Not known to be exploited · CVSS 6.5 Medium.

Data as of 26 Oct 2026, 14:05 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 32% 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 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 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
metagauss ProfileGrid – User Profiles, Groups and CommunitiesAffected
  • =0
Fixed in–

AI-suggested

Users should monitor the vendor's advisory channels for updates. Until a fix is released, restricting Subscriber-level access where possible and applying strict input validation or web application firewall rules targeting the vulnerable parameters may help reduce risk.

Description

The ProfileGrid – User Profiles, Groups and Communities plugin for WordPress is vulnerable to blind and time-based SQL Injections via the rid and search parameters in all versions up to, and including, 5.9.4.7 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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