Python based tool to extract forensic info from EventTranscript.db (Windows Diagnostic Data)

Related tags

General Utilitiespython3forensicsdfircybersecurity
Overview

EventTranscriptParser

EventTranscriptParser is python based tool to extract forensically useful details from EventTranscript.db (Windows Diagnostic Database).

The database is found in Windows 10 systems and present at C:\ProgramData\Microsoft\Diagnosis\EventTranscript\EventTranscript.db.

The tool currently supports the following features.

  • Extracting MS Edge browser history.
  • Extracting list of software/programs installed on the host system.
  • Extracting Wireless Scan results.
  • Extracting WiFi connection details (SSIDs, device manufacturers etc...)
  • Extracting Physical Disk information (Disk size, No. of partitions etc...)
  • Extracting PnP device installation information (Install time, Model, Manufacturer etc...)
  • MORE COMING SOON!!

Requirements

Python 3.8 or above. The older versions of Python 3.x should work fine as well.

Dependencies

These are the required libraries/modules needed to run the script

  • json
  • sqlite3
  • pandas
  • os
  • argparse

Usage

The tool is completely CLI based.

python EventTranscriptParser.py -f <Path-To-EventTranscript.db>

Tip: Before running the tool against the database, make sure that the -wal (Write Ahead Log) file data is merged with the original database. Because you might miss out on crucial/juicy data.

usage

Acknowledgements

This tool wouldn't have been possible without the excellent research & hard work put in by my colleagues Andrew Rathbun & Josh Mitchell in investigating the Windows Diagnostic Data.

Read more about their research here - https://github.com/rathbuna/EventTranscript.db-Research

Follow the investigative series at Kroll on EventTranscript.db - https://www.kroll.com/en/insights/publications/cyber/forensically-unpacking-eventtranscript

Author

Abhiram Kumar

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Releases(v1.0)
Owner
P. Abhiram Kumar
DFIR at Kroll | Captain @teambi0s | Organizing Team of InCTF & InCTFj | Author of MemLabs
P. Abhiram Kumar
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