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TTS WordPress plugin patches hardcoded telemetry database credentials

1 min readPublished 03 Apr 2026Updated 04 Apr 2026Source: Wordfence Intelligence

TL;DR — A hardcoded MySQL credential shipped inside a WordPress TTS plugin can be extracted by anyone, enabling unauthorized access to the vendor’s external telemetry database until patched and rotated.

What happened

Text to Speech – TTSWP ("Text to Speech for WP (AI Voices by Mementor)") is a WordPress plugin that adds text-to-speech functionality to sites.

Wordfence disclosed CVE-2026-1233 as a High-severity use of hardcoded credentials (CWE-798): the plugin contains hardcoded MySQL database credentials for the vendor’s external telemetry server in the Mementor_TTS_Remote_Telemetry class. Per the advisory, this allows unauthenticated attackers to extract and decode the credentials and gain unauthorized write access to the vendor’s telemetry database.

This matters because hardcoded secrets in widely distributed client-side artifacts (plugins, SDKs, CLIs) are effectively public once discovered—creating a fast, scalable abuse path and forcing incident response on the credential owner (rotation, auditing, and downstream trust review).

Who is impacted

  • WordPress sites running the Text to Speech – TTSWP plugin at affected versions.
ComponentAffected versions (per Wordfence)Patched version (per Wordfence)
text-to-speech-tts / Text to Speech – TTSWP<= 1.9.81.9.9

What to do now

  • Follow vendor remediation guidance and apply a patched release.
    • "Remediation Update to version 1.9.9, or a newer patched version"

  • Treat this as a secret exposure class issue: assume the embedded DB credential is compromised and validate that the vendor has rotated/invalidated it (the client-side fix alone does not revoke already-extracted secrets).
  • If you operate the affected plugin in regulated/high-scrutiny environments, review whether the plugin’s telemetry integration is permitted for your organization and reassess third-party data flows and trust boundaries.

Content is AI-assisted and reviewed by our team, but issues may be missed and best practices evolve rapidly, send corrections to [email protected]. Always consult official documentation and validate key implementation decisions before making design or security choices.

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