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CVE-2024-4443VulnerabilityPublished Updated

CVE-2024-4443: Business Directory Plugin – Easy Listing Directories for WordPress · SQL Injection

Affects Business Directory Plugin – Easy Listing Directories for WordPressSource CVE Database V5

0

Not known to be exploited · public detection template (Nuclei) · 10% EPSS · CVSS 9.8 Critical.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
9.8Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
10.3% chance of exploitation in 30 days – higher than 95% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 22 May 2024

  2. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  3. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  4. 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
strategy11team Business Directory Plugin – Easy Listing Directories for WordPressAffected
  • =0
Fixed in–

AI-suggested

Until an official fix is released, consider disabling the plugin or restricting access to affected endpoints as a temporary measure. Monitor vendor communications for updates and apply patches promptly once available.

Description

The Business Directory Plugin – Easy Listing Directories for WordPress plugin for WordPress is vulnerable to time-based SQL Injection via the ‘listingfields’ parameter in all versions up to, and including, 6.4.2 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for unauthenticated attackers 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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