Difference between revisions of "PDF Tools (by Didier Stevens)"

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(Import from spreadsheet via script.)
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= Description =
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== Description ==
 
This is a set of Python scripts for anaysing PDF documents. The main ones are:
 
This is a set of Python scripts for anaysing PDF documents. The main ones are:
  
=== pdf-parser.py
+
=== pdf-parser.py ===
  
This tool will parse a PDF document to identify the fundamental elements used in the analyzed file. A command line option exists to search for specific text strings within indirect objects. ===
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This tool will parse a PDF document to identify the fundamental elements used in the analyzed file. A command line option exists to search for specific text strings within indirect objects.
  
=== pdfid.py
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=== pdfid.py ===
  
Scans a file to look for certain PDF keywords, allowing you to identify PDF documents that contain (for example) JavaScript or execute an action when opened. ===
+
Scans a file to look for certain PDF keywords, allowing you to identify PDF documents that contain (for example) JavaScript or execute an action when opened.
  
= User Experiences =
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== User Experiences ==
  
  
= Development Activity =
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== Development Activity ==
  
 
{{Infobox_tool_details
 
{{Infobox_tool_details
 
|ohloh_id=PDF Tools (by Didier Stevens)
 
|ohloh_id=PDF Tools (by Didier Stevens)
 
}}
 
}}

Revision as of 13:29, 26 November 2013



Tools for parsing and analysing PDF documents
Homepage:http://blog.didierstevens.com/programs/pdf-tools/
License:Not specified, public domain


Contents

Description

This is a set of Python scripts for anaysing PDF documents. The main ones are:

pdf-parser.py

This tool will parse a PDF document to identify the fundamental elements used in the analyzed file. A command line option exists to search for specific text strings within indirect objects.

pdfid.py

Scans a file to look for certain PDF keywords, allowing you to identify PDF documents that contain (for example) JavaScript or execute an action when opened.

User Experiences

Development Activity


Contributors

Andy Jackson (18.5%), Johanvanderknijff (6.3%), COPTR Bot (75.3%)