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CVE-2024-9887VulnerabilityPublished Updated

CVE-2024-9887: SAML IDP (Identity Provider) (WordPress plugin) · SQL Injection

Affects SAML IDP (Identity Provider) (WordPress plugin)Source CVE Database V5

0

Not known to be exploited · CVSS 7.2 High.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
7.2High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.5% chance of exploitation in 30 days – higher than 42% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 16 Nov 2024

  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 2026-10-25.

What to do

Affected software

ProductAffectedFixed in
cyberlord92 SAML IDP (Identity Provider) – Login with Website UsersAffected
  • =0
Fixed in–

AI-suggested

Until an official fix is available, restrict administrator-level access to trusted users only and monitor for suspicious activity related to the 'id' parameter in the plugin. Avoid using affected versions of the plugin if possible.

Description

The Login using WordPress Users ( WP as SAML IDP ) plugin for WordPress is vulnerable to time-based SQL Injection via the ‘id’ parameter in all versions up to, and including, 1.15.6 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 Administrator-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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