The tool was developed to process SQLite databases in respect of deleted records. Therefore, bring2lite is able to analyse the structures within the main database, WAL and journal files.

• Python3

• CC-BY-NC

1. Clone the repository
2. cd into the repository
3. python3 setup.py install
4. pip3 install pyqt5

• Process a single database main file:

main.py --filename /path/to/file --out /path/to/output/folder

• Process a single journal file:

main.py --journal /path/to/journal/file --out /path/to/output/folder

• Process a single WAL file:

main.py --wal /path/to/wal/file --out /path/to/output/folder

• Process a single database main file:

main.py --filename /path/to/database/file --out /path/to/output/folder

• Process all files within a single folder and all sub-folders:

main.py --folder /path/to/folder --out /path/to/output/folder

• Process a single database main file with GUI (EXPERIMENTAL):

main.py --filename /path/to/database/file --out /path/to/output/folder --gui 1

• tqdm - a library which can be used to created progress bars
• sqlparse - this library allows to easily process SQLite statements
• pyqt5 and tkinter - libraries which allow to display the processed results within a GUI

• 14-03-2019 - publication of version 0.1

• Better error handling
• Display all processed informations in a interactive GUI
• Fix a bug that sometimes do not add the SQLite schema to the top of a outputfile
• Fix a bug which adds a line of # after each outputline
• Optimize parsing algorithm to process multiple freeblocks in a row
• The name of a created file is off by one