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PatchSiren cyber security CVE debrief

CVE-2026-39494 WBW Plugins CVE debrief

A critical vulnerability was discovered in the Product Filter by WBW WordPress plugin, affecting versions from n/a through 3.1.2. This vulnerability, tracked as CVE-2026-39494, is an Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') issue, which allows for Blind SQL Injection attacks. The vulnerability has a CVSS score of 9.3 and is considered CRITICAL.

Vendor
WBW Plugins
Product
Product Filter by WBW
CVSS
CRITICAL 9.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-11
Original CVE updated
2026-06-12
Advisory published
2026-06-11
Advisory updated
2026-06-12

Who should care

Users of the Product Filter by WBW WordPress plugin, particularly those using versions from n/a through 3.1.2, should be aware of this vulnerability and take necessary actions to mitigate the risk.

Technical summary

The vulnerability is caused by improper neutralization of special elements used in an SQL command, allowing for Blind SQL Injection attacks. The CVSS vector for this vulnerability is CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:L.

Defensive priority

High

Recommended defensive actions

  • Update the Product Filter by WBW plugin to a version that is not vulnerable.
  • Refer to resourceLinkAnnotations for more information: {ref-4}.

Evidence notes

The vulnerability was reported by [email protected] and is publicly listed on CVE.org and NVD.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-39494 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-39494

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-39494 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-39494

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.