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A simple but powerful tool with a flexible module system which will help you in your digital forensics works, including file recovery due to error or crash, evidence research and analysis, etc. Digital Forensics Framework (DFF) provides a robust architecture and some handy modules.
Library and set of tools to convert Outlook files for some open Formats. It can now convert both 32 bit Outlook files (pre 2003), and the 64 bit Outlook 2003 pst files. Utilities are supplied to convert email messages to both mbox and MH mailbox formats, and to DII load file format for use with
Date converter module (JST,PST,EST) for Google App EngineUTC to PST or EST or JST license: public domain example: Copy DateConvModule.py to your directory (time.htm) PST: [{{t|toPst|date:"m/d H:i"}}] (test.py) import datetime import wsgiref.handlers import os from
Library and tools to access the Personal Folder File (PFF) and the Offline Folder File (OFF) format. PFF is used in PAB (Personal Address Book), PST (Personal Storage Table) and OST (Offline Storage Table) files.
A library for reading Outlook msg files, and for converting them to RFC2822 emails. Generally, the goal of the project is to enable the conversion of .msg files into standards based formats, without reliance on outlook, or any platform dependencies. In fact its currently pure ruby, so it should
pst2gmail builds on the work done in the java-libpst library (http://code.google.com/p/java-libpst/) to help migrate users from their Outlook email to the web based gmail services.
Toolkit for statistical learning of vocabularies. Models implemented: N-grams Combined n-grams with Good-Turing smoothing Probabilistic suffix tree Suffix-based variable order Markov model Variable-length Hidden Markov Model New HMM-based approach, built with all words substrings Dynamic Markov Model Prefix-based variable order Markov model
The PST (or PFF) file format is a horrible, closed proprietary format. Over the years many people have accumulated a large amount of important email and other information into these files, this project aims to allow people to access and extract this information so that it may be migrated to other
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