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ail-feeder-pdf

This AIL feeder is a generic software to extract informations from PDF and feed AIL via AIL ReST API.

Requirements

Usage

dacru@dacru:~/git/ail-feeder-pdf/bin$ python3 feeder-pdf.py --help  
usage: feeder-pdf.py [-h] [-p PDF [PDF ...]] [-fp FILE_PDF] [-d] [-v]

optional arguments:
  -h, --help            show this help message and exit
  -p PDF [PDF ...], --pdf PDF [PDF ...]
                        list of pdf to analyse
  -fp FILE_PDF, --file_pdf FILE_PDF
                        file containing list of pdf
  -d, --debug           debug mode
  -v, --verbose         display more info

JSON output format to AIL

  • source is the name of the AIL feeder module
  • source-uuid is the UUID of the feeder (unique per feeder)
  • data is text found in pdf
  • meta is the generic field where feeder can add the metadata collected

Using the AIL API, data will be compress in gzip format and encode with base64 procedure. Then a new field will created, data-sha256 who will be the result of sha256 on data after treatment.

Output

{'data': "",
 'meta': {'pdf_feeder:ExifTool:ExifToolVersion': 12.43,
          'pdf_feeder:File:Directory': '.',
          ..., // Exif metadata

          'pdf_feeder:image-0_0': {'Composite:ImageSize': '2078 1559',
                                   'Composite:Megapixels': 3.239602,
                                   'ExifTool:ExifToolVersion': 12.43,
                                   'File:BitsPerSample': 8,
                                   'File:ColorComponents': 3,
                                   ... // Exif metadata of image
                                  }
         }
}

pdf_feeder:image-x_y:

  • x: page of the document where the image is found.
  • y: numbers of images found in a specific page. start at 0.

License

This software is licensed under GNU Affero General Public License version 3 Copyright (C) 2022-2023 CIRCL - Computer Incident Response Center Luxembourg Copyright (C) 2022-2023 David Cruciani Copyright (C) 2023 Aurelien Thirion