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Prompt Injection Scanner

Scan prompts, retrieved content, or tool instructions for injection patterns, exfiltration requests, and risky overrides.

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Plan, estimate, copy

AI tools stay deterministic: estimate tokens, structure prompts, plan context, and prepare copy-ready outputs without calling a model.

Describe input

Paste text or fill the prompt, token, schema, or cost fields.

Estimate

Review token budget, chunks, cost, or structured prompt sections.

Copy output

Move the result into your AI workflow or documentation.

Start using tool

Scan profile

Paste untrusted content, prompt text, RAG snippets, or tool instructions to scan.

Pattern scanning is a review aid, not a proof of safety.

Privacy: This tool runs entirely in your browser. No data is sent to our servers. We don't store, share, or have access to any of the information you process here.

Examples

Practical guide for Prompt Injection Scanner

The Prompt Injection Scanner checks prompts, retrieved web content, knowledge-base snippets, and agent tool instructions for common injection and exfiltration patterns.

It is a deterministic review aid. It does not call a model and does not prove that a prompt is safe, but it helps surface risky language before content reaches an AI workflow.

Common use cases

  • Review RAG passages before they are inserted into a system prompt or tool-using agent.
  • Check public webpage content for instructions that try to override assistant behavior.
  • Create a short mitigation checklist for prompt libraries and AI automation flows.

How to use it well

  1. Paste the prompt, retrieved document, webpage text, or tool instruction you want to inspect.
  2. Choose the source type and scan strictness.
  3. Review high-risk findings, affected snippets, and mitigation notes.
  4. Update your system prompt boundaries, tool permissions, and output validation rules.

Practical tips

  • Separate trusted system instructions from untrusted user or webpage content.
  • Treat requests to reveal hidden prompts, ignore rules, export secrets, or call tools as high-risk signals.
  • Use allowlists and schema validation for tool calls instead of relying on prompt wording alone.

Limitations to know

  • Attack wording changes constantly, so pattern scanning is only one layer of defense.
  • Safe-looking content can still cause problems when combined with weak tool permissions.

FAQ

Q: Can this prove a prompt is safe?

A: No. It finds common risky patterns and review gaps. You still need model-side controls, tool permissions, and output validation.

Q: Does it send my prompt to an AI model?

A: No. Pattern checks run locally in the browser.

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Privacy: This tool runs entirely in your browser. No data is sent to our servers. We don't store, share, or have access to any of the information you process here.