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CVE-2024-5605VulnerabilityPublished Updated

CVE-2024-5605: Media Library Assistant (WordPress plugin) · SQL Injection

Affects Media Library Assistant (WordPress plugin)Source CVE Database V5

0

Not known to be exploited · CVSS 8.8 High.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
8.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.5% chance of exploitation in 30 days – higher than 47% 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:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 20 Jun 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 2026-10-26.

What to do

Affected software

ProductAffectedFixed in
dglingren Media Library AssistantAffected
  • =0
Fixed in–

AI-suggested

Until an official fix is released, restrict contributor-level access to trusted users only and consider disabling or removing the Media Library Assistant plugin if feasible. Monitor for updates from the vendor regarding patches or mitigations.

Description

The Media Library Assistant plugin for WordPress is vulnerable to time-based SQL Injection via the ‘order’ parameter within the mla_tag_cloud Shortcode in all versions up to, and including, 3.16 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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