Web scraper to download and extract file metadata
Pymeta is a Python3 rewrite of the tool PowerMeta, created by dafthack in PowerShell. It uses specially crafted search queries to identify and download the following file types (pdf, xls, xlsx, doc, docx, ppt, pptx) from a given domain using Google and Bing. Once downloaded, metadata is extracted from these files using Phil Harvey's exiftool. This is a common place for penetration testers to find internal domain names, usernames, software/version numbers, and identify an organization's naming conventions.
Pymeta can also be pointed at a directory to extract metadata from files manually downloaded using the '-dir' command line argument. See the 'Usage', and 'All Options' sections for more information.
During metadata extraction, unique 'Author', 'Creator', and 'Producer' fields will be written to the terminal. However, more verbose output can be accomplished by generating a csv report with the '-csv' command line argument.
- PyPi (last release)
pip3 install pymetadata
- GitHub (latest code)
git clone https://github.com/m8r0wn/pymeta cd pymeta python3 setup.py install
Search Google and Bing for files within example.com and extract metadata to terminal:
pymeat -d example.com
Search Google only for files within example.com and extract metadata to a csv report:
pymeta -d example.com -s google -csv
Extract metadata from files within the given directory and create csv report:
pymeta -dir ../Downloads/ -csv
-h, --help show help message and exit -d DOMAIN Target domain -dir FILE_DIR Directory of files to extract Metadata -s ENGINE Search engine to use: google, bing, all (Default: all) -m MAX_RESULTS Max results to collect per file type (Default: 50) -csv write all metadata to CSV (Default: display in terminal)
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