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Remura

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Overview

Detects hidden prompt injection attacks embedded in web pages — protecting your AI agent from being hijacked.

Remura - AI Agent Prompt Injection Detector Remura silently scans every page you visit for hidden prompt injection attacks, malicious instructions embedded in web pages that attempt to hijack AI agents browsing on your behalf. How it works When a page loads, Remura scans the DOM for 8 types of hidden instruction techniques: invisible text, off-screen elements, color-matched text, tiny fonts, aria-hidden abuse, HTML comments, suspicious meta tags, and CSS content injection. If injections are found, a blocking overlay appears with a 30-second countdown. A human can click "I acknowledge this risk" to dismiss it. An AI agent cannot when the timer expires, a desktop alert fires and the page stays blocked. What it detects • Instruction overrides ("ignore previous instructions", "new instructions") • Role manipulation ("you are now", "act as") • Data exfiltration commands ("send conversation to", "reveal system prompt") • Action hijacking ("instead output", "do not complete") Zero data collection. All scanning happens locally in your browser. Nothing leaves your device.

Details

  • Version
    0.1.0
  • Updated
    July 2, 2026
  • Offered by
    prashastvats
  • Size
    16.63KiB
  • Languages
    English
  • Developer
    Email
    prashastvats@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

Manage extensions and learn how they're being used in your organization
The developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

Support

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