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CVE-2026-19632

9.8 · CRITICAL
Published Aug 26, 2026 CWE-640

Overview

CVE-2026-19632 is a critical-severity vulnerability. It was published on August 26, 2026 and has a CVSS 3.1 base score of 9.8 (CRITICAL).

This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

The TranslatePress – Translate Multilingual sites with AI Translation plugin for WordPress is vulnerable to Sensitive Information Exposure in all versions up to, and including, 3.3.1 via the 'trp_get_translations_regular' AJAX action. This makes it possible for unauthenticated attackers to extract the raw administrator password-reset URL — including the plaintext reset key and login parameters stored in the translation dictionary table — enabling full administrator account takeover. This vulnerability is only exploitable when automatic string saving is enabled (the default setting) and the target administrator's profile locale is set to a published secondary language, as these conditions cause the password-reset URL to be persisted as a translatable string in the secondary-language dictionary table.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

References

Ref plugins.trac.wordpress.org/browser/translatepress-multilingual/tags/3.3.1/class-translate-press.php#L361 Ref plugins.trac.wordpress.org/browser/translatepress-multilingual/tags/3.3.1/class-translate-press.php#L531 Ref plugins.trac.wordpress.org/browser/translatepress-multilingual/tags/3.3.1/includes/class-editor-api-regular-strings.php#L35 Ref plugins.trac.wordpress.org/browser/translatepress-multilingual/tags/3.3.1/includes/class-editor-api-regular-strings.php#L93 Ref plugins.trac.wordpress.org/browser/translatepress-multilingual/tags/3.3.1/includes/class-translation-render.php#L2061 Ref plugins.trac.wordpress.org/browser/translatepress-multilingual/tags/3.3.1/includes/class-translation-render.php#L2257 Ref plugins.trac.wordpress.org/browser/translatepress-multilingual/tags/3.3.1/includes/class-translation-render.php#L2371 Ref plugins.trac.wordpress.org/browser/translatepress-multilingual/tags/3.3.1/includes/queries/class-query.php#L1258 Ref plugins.trac.wordpress.org/changeset/3645229/translatepress-multilingual Ref www.wordfence.com/threat-intel/vulnerabilities/id/4f4ebf09-b089-4118-a0ee-399243253f9c?source=cve

Frequently Asked Questions

What is CVE-2026-19632?

CVE-2026-19632 is a critical-severity vulnerability. It was published on August 26, 2026 and has a CVSS 3.1 base score of 9.8 (CRITICAL).

How severe is CVE-2026-19632?

This vulnerability has a CVSS 3.1 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2026-19632?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2026-19632?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-19632 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.

How CyberStrike Helps

Autonomous Discovery

AI agents map your attack surface to find vulnerabilities like this one.
Continuous Pentesting

Automated penetration testing that runs continuously, not just quarterly.
Code Review

AI-driven PR review catches vulnerable dependencies before they ship.
HackBrowser

Browser-based exploitation validates findings with real proof-of-concept.

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