WordPress TranslatePress Plugin Stored XSS in Translation Panel

The TranslatePress – Translate Multilingual sites with AI Translation plugin for WordPress is vulnerable to Stored Cross-Site Scripting via Translation Memory Suggestion Panel (v-html on suggestion.original) in all versions up to, and including, 3.3.5 due to insufficient input sanitization and output escaping. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. Unauthenticated attackers can seed the translation dictionary's original column with executable HTML because the front-end rendering pipeline decodes entity-encoded payloads via html_entity_decode() before persistence, and the original column is deliberately exempt from kses filtering — meaning no save-time sanitizer neutralizes the stored payload before it is later rendered in an administrator's session.

Casky was already ahead

This CVE exploits attack patterns that Casky's 323matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

TranslatePress, a popular WordPress translation plugin with thousands of installations, contains a stored cross-site scripting (XSS) vulnerability in its Translation Memory Suggestion Panel that affects all versions through 3.3.5. The vulnerability stems from improper sanitization of user input and insufficient output escaping when rendering translation suggestions, allowing unauthenticated attackers to inject malicious scripts that persist in the database. When any user accesses a page containing the injected payload, the malicious script executes in their browser with their privileges, potentially leading to session hijacking, credential theft, malware distribution, or unauthorized administrative actions. This is particularly dangerous because attackers require no authentication and the vulnerability affects a widely-deployed WordPress plugin, making it an attractive target for large-scale campaigns.

Casky's 323 matched security skills leverage Claude AI with extended reasoning to detect the attack patterns underlying MITRE techniques TA0001 (Initial Access) and TA0043 (Reconnaissance). Practitioners using Casky would identify this vulnerability through detection of suspicious script injection patterns in translation memory fields, flagging improper HTML entity encoding in the v-html suggestion.original parameter, and recognizing the signature of stored XSS payloads persisting across page renders. The platform's skill mapping would highlight the reconnaissance phase where attackers probe the plugin's input validation boundaries, followed by the initial access vector where malicious content is injected into translation suggestions. Security teams would receive findings correlating unsanitized input flows, DOM-based execution contexts, and database storage patterns—enabling them to prioritize patching this plugin and implement WAF rules to block XSS payloads targeting the translation suggestion endpoints.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

323 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-89412.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

Run

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0043

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