ParanoiDF

The swiss army knife of PDF Analysis Tools. Based on peepdf - http://peepdf.eternal-todo.com. This README builds on the peepdf README.

This tool was developed as part of my M.Sc dissertation/project for the School of Computing (University of Kent, Canterbury, UK). The man behind the idea for this tool was Julio Hernandez-Castro (www.azhala.com).

Home Page

• https://github.com/patrickdw123/ParanoiDF
• patrickdw123(at)gmail(dot)com
• http://uk.linkedin.com/pub/patrick-wragg/8a/a7a/324/

Features

See https://github.com/patrickdw123/ParanoiDF/wiki.

Dependancies

• In order to crack passwords:
  • PdfCrack needed (apt-get install pdfcrack)
• In order to remove DRM (editing, copying Etc.):
  • Calibre's ebook-convert needed (apt-get install calibre)
• In order to decrypt PDFs:
  • qpdf needed (apt-get install qpdf)
• In order to use the command redact:
  • NLTK (Natural Language ToolKit) needed (apt-get install python-nltk)
  • Java (Stanford parser is written in Java) needed (apt-get install default-jre)
• To support XML output "lxml" is needed:
  • http://lxml.de/installation.html
• Included modules: lzw, colorama, jsbeautifier, ccitt, pythonaes (Thanks to all the developers!!)

Installation

No installation is needed apart of the commented dependencies, just execute:

python paranoiDF.py

Execution

There are two important options when ParanoidF is executed:

-f: Ignores the parsing errors. Analysing malicious files propably leads to parsing errors, so this parameter should be set. -l: Sets the loose mode, so does not search for the endobj tag because it's not obligatory. Helpful with malformed files.

• Simple execution

Shows the statistics of the file after being decoded/decrypted and analysed:

python paranoiDF.py [options] pdf_file

• Interactive console

Executes the interactive console, giving a wide range of tools to play with.

python paranoiDF.py -i 

• Batch execution

It's possible to use a commands file to specify the commands to be executed in the batch mode. This type of execution is good to automatise analysis of several files:

python paranoiDF.py [options] -s script_file 

Some Hints

If the information shown when a PDF file is parsed is not enough to know if it's harmful or not, the following commands can help to do it:

• tree

Shows the tree graph of the file or specified version. Here we can see suspicious elements.

• offsets

Shows the physical map of the file or the specified version of the document. This is helpful to see unusual big objects or big spaces between objects.

• search

Search the specified string or hexadecimal string in the objects (decoded and encrypted streams included).

• object/rawobject

Shows the (raw) content of the object.

• stream/rawstream

Shows the (raw) content of the stream.

TODO (with date that I intend to start work on)

V2.0:

• Refine and test redaction thresholds: 30/08/2014
• Add automation of retrieval of redaction box information such as font size, font and redaction box coordinates: 30/08/2014
• Add other encryption algorithms (such as the AES): 1/10/2014
• Digital Signatures analysis: 1/10/2014
• Add a GUI

Bugs

Feel free to send bugs/criticisms/praises/comments to patrickdw123(at)gmail(dot)com.