CVE-2026-57409 RealMag777 CVE debrief

Who should care

Users of Active Products Tables for WooCommerce plugin version 1.1.0 or earlier should apply patches or mitigations. This includes operators, administrators, and security teams responsible for maintaining WordPress installations with the affected plugin. They should review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance.

Technical summary

The vulnerability, known as DOM-Based XSS, arises from improper neutralization of input during web page generation in Active Products Tables for WooCommerce. The CVSS score is 7.1, indicating high severity. This issue affects Active Products Tables for WooCommerce: from n/a through <= 1.1.0. Users should apply patches or updates for Active Products Tables for WooCommerce and implement input validation and sanitization for user inputs.

Defensive priority

High priority due to high CVSS score and potential for user interaction.

Recommended defensive actions

• Apply patches or updates for Active Products Tables for WooCommerce
• Implement input validation and sanitization for user inputs
• Monitor for suspicious user interactions and script execution
• Review compensating controls for exposed systems while remediation is scheduled and verified
• Check relevant monitoring, detection, and logs for exposed assets that need extra review
• Track exceptions, retest remediated assets, and close the item only after evidence is documented
• Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up

Evidence notes

Evidence from Patchstack and NVD indicates a high-severity DOM-Based XSS vulnerability in Active Products Tables for WooCommerce. The issue arises from improper neutralization of input during web page generation, affecting versions up to and including 1.1.0. Further review is needed to assess affected scope, potential impact, and verify patches or mitigations. Defensive measures should include input validation, sanitization, and monitoring for suspicious user interactions and script execution.

Sources and references

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.