Scan files before AI upload

When is this relevant?

This check is relevant whenever a file arrives unexpectedly, comes from email, messenger, download portals, or AI workflows, or should be cleaned before forwarding.

It matters most for urgent-looking files, unknown senders, or files that would otherwise be opened in apps that interpret active content.

What risks can exist?

Common risks include misleading filenames, active content, external loading targets, hidden metadata, suspicious archive paths, invisible Unicode characters, and prompt instructions for AI systems.

The exact assessment depends on the file type. ScanBeforeOpen therefore shows signals and recommendations, not a complete safety promise.

How does ScanBeforeOpen help?

The file is checked locally in the browser. There is no upload and no execution of the original file.

The result starts with a plain recommendation. Technical details, safe preview, and cleaned exports appear only where they make sense for the file type.

Exactly what is checked

Extracted text is checked for prompt-injection patterns, invisible characters, and bidi controls.

Safe-for-AI export can mark suspicious lines, remove them, or reveal hidden characters.

The export does not replace review for confidential or personal content.

Prompt injection

Typical patterns ask the model to ignore earlier instructions, reveal system prompts, or hide warnings.

They can appear in PDFs, Office comments, CSV cells, HTML, or text files.

Limit metadata

Files often contain author, software, edit time, or comments.

Share only the content required for the task.

Safe-for-AI export

A cleaned text export removes invisible control characters and marks risky lines.

It does not replace legal or organizational review of sensitive data.

A safer everyday review flow

Start with the source: Was the file expected, does the context make sense, and can the sender be confirmed through a second channel? Technical findings matter more when the social context is weak.

Then review filename, extension, size, magic bytes, and visible warnings. Do not open the original in another app while you are still assessing it.

If you need to share the content, prefer a cleaned export or a report over the original file. That reduces metadata, active content, and unintended remote-loading behavior.

When to escalate

After critical findings or several high-risk findings, do not open the file directly. This is especially important for resumes, invoices, contracts, archives, and files framed as urgent.

In organizations, a red result should go to IT support or security owners. Individuals should use professional antivirus or an isolated environment when uncertainty remains.

A green result only means no obvious known risk patterns were found. It is not a guarantee and does not replace approval for confidential content.

Document without spreading risk

When reporting a suspicious file, capture source, filename, time, and findings. Avoid uploading the original file into chats or unknown online services.

Screenshots or a local security report are often enough to decide the next step without redistributing the original.

Practical checklist

• Show invisible characters
• Check prompt patterns
• Exclude metadata
• Export only needed text
• Remove confidential data first

Clear limits

AI risk is context-dependent. The scanner recognizes patterns, not every possible manipulation.