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VulnerabilityPublished Updated

CVE-2026-2363: WP-Members Membership Plugin · SQL Injection

Affects WP-Members Membership PluginSource 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
0.2% chance of exploitation in 30 days – higher than 18% 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 4 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
cbutlerjrWP-Members Membership PluginAffected
  • <=3.5.5.1
Fixed in–

AI-suggested

Until an official fix is released, restrict Contributor-level access where possible and monitor for suspicious activity related to the 'order_by' attribute usage. Avoid using the vulnerable shortcode or sanitize inputs manually if feasible.

Description

The WP-Members Membership Plugin plugin for WordPress is vulnerable to SQL Injection via the 'order_by' attribute of the [wpmem_user_membership_posts] shortcode in all versions up to, and including, 3.5.5.1. This is 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 Contributor-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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