CVE-2026-10770 Drupal CVE debrief

Who should care

Users of Drupal Anti-Spam by CleanTalk versions from 0.0.0 to 9.7.1 should review and apply the necessary patches to prevent Reflected XSS attacks. This includes administrators, security teams, and operators who manage Drupal installations with the Anti-Spam by CleanTalk plugin. Additionally, vulnerability management teams and security personnel responsible for monitoring and mitigating security threats should be aware of this vulnerability.

Technical summary

The CVE-2026-10770 vulnerability is classified as Improper Neutralization of Input During Web Page Generation, also known as Cross-site Scripting (XSS). It affects Drupal Anti-Spam by CleanTalk plugin versions from 0.0.0 to 9.7.1, allowing attackers to inject malicious scripts into web pages. This vulnerability has a high impact on security and requires immediate attention. Users of Drupal Anti-Spam by CleanTalk should review and apply the necessary patches to prevent Reflected XSS attacks.

Defensive priority

High priority should be given to updating Drupal Anti-Spam by CleanTalk to a version beyond 9.7.1 to mitigate the Reflected XSS vulnerability. This should be done as soon as possible to prevent potential security breaches.

Recommended defensive actions

• Update Drupal Anti-Spam by CleanTalk to a version beyond 9.7.1
• Review and apply patches provided by the vendor
• Monitor for suspicious activity and implement additional security measures if necessary
• Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
• Review compensating controls for exposed systems while remediation is scheduled and verified

Evidence notes

Evidence is limited; verification of vulnerability details and affected versions is recommended through official sources and vendor documentation. Additional verification steps include reviewing the official CVE record, NVD detail page, and source item URL for CVE-2026-10770. It is essential to confirm the affected scope, severity, and vendor guidance through these sources.

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.