Audit ai documents problem office360 resolved

The problem

Legacy antivirus tools can't detect text-based attacks. Malicious actors hide invisible instructions in Office documents to trick AI assistants into falsifying data, leaking secrets, or spreading prompt injections.

What it does

• Scans Word, Excel, and PowerPoint files for white-on-white text and 1-point fonts.
• Inspects document metadata, hidden comments, and PowerPoint speaker notes for payloads.
• Detects Word's explicit "hidden text" flags and white highlights.
• Analyzes extracted text for instruction overrides, Base64 payloads, and invisible Unicode.
• Returns a structured verdict (CLEAN to DANGEROUS) based on the context of hidden text.

Frameworks & tools

Python 3.x, zipfile, and standard Office XML structures (OpenXML).

Why this beats prompting it yourself

Standard LLMs only see the text you provide and often miss formatting metadata like font color or size. This tool analyzes the underlying XML structure of the file to see exactly what is hidden from human eyes before the AI processes it.

Use cases

• Vetting vendor contracts for hidden clauses or malicious AI instructions.
• Scanning internal reports before using Copilot or ChatGPT to summarize them.
• Auditing PowerPoint decks from external sources for hidden speaker note payloads.
• Checking spreadsheets for hidden cell comments that might alter AI analysis.

Known limitations

Does not support PDF files or legacy binary formats (.doc, .xls, .ppt). Does not scan for traditional malware or macros.