Metagoofil is an open-source information-gathering tool designed to extract metadata from publicly available documents associated with a target organization. Written in Python, it helps security researchers and penetration testers identify potentially sensitive information unintentionally exposed through published files. The software searches Google for documents such as PDFs, Word files, Excel spreadsheets, and PowerPoint presentations. It downloads matching files and processes their metadata using integrated parsing libraries, including Hachoir and PDFMiner. Extracted information can reveal usernames, document authors, internal file paths, server names, and shared resource references. It also identifies email addresses within supported PDF and Word documents. The tool supports local document analysis and provides useful findings for authorized security assessments and organizational information exposure reviews.
Features
- Public Document Metadata Extraction
- Google-Based Document Discovery
- PDF and Microsoft Office File Analysis
- Username and Author Identification
- Internal File Path and Server Information Discovery
- Email Address Extraction from Documents