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CVE-2024-6457VulnerabilityPublished Updated

CVE-2024-6457: HUSKY (WordPress plugin) · SQL Injection

Affects HUSKY (WordPress plugin)Source CVE Database V5

0

Not known to be exploited · 19% 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
19.7% chance of exploitation in 30 days – higher than 97% 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 16 Jul 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
realmag777 HUSKY – Products Filter Professional for WooCommerceAffected
  • =0
Fixed in–

AI-suggested

Until an official fix is available, users should consider disabling the vulnerable plugin or restricting access to the affected functionality to trusted users only. Monitoring for unusual database activity may help detect exploitation attempts. Avoid using the vulnerable versions of the plugin in production environments.

Description

The HUSKY – Products Filter Professional for WooCommerce plugin for WordPress is vulnerable to time-based SQL Injection via the ‘woof_author’ parameter in all versions up to, and including, 1.3.6 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for 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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