Tribal Chicken

Security. Malware Research. Digital Forensics.

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Converting a memory image from raw to padded

Thomas White • 15 Jun 2016 • Tags: analysis, DFIR, forensics, memory

Convert a Linux memory image from a raw (where the System RAM ranges have been concatenated together) to a padded image, provided the early boot messages were present in the kernel ring buffer at the time of imaging. Includes Python code to convert an image automatically. Update 2016-06-29: The code on Github has… leer más

Recovering BitLocker Keys on Windows 8.1 and 10

Thomas White • 13 Mar 2016 • Tags: bitlocker, DFIR, forensics, fvek

A brief touch on how the changes to BitLocker after Windows 7 affect master key recovery and where to look when recovering keys. This article is not intended to be an in-depth look at the inner workings of BitLocker, but is instead focussed on retrieval of the Full Volume Encryption Key (FVEK) from memory.… leer más

Extracting FileVault 2 Keys with Volatility

Thomas White • 13 Feb 2016 • Tags: filevault, forensics, infosec, memory, security, volatility

This is a volatility plugin which can recover FileVault 2 Volume Master Keys from memory, based on a certain pattern. It has been briefly tested on OS X 10.9 – 10.11. Plugin on GitHub here. This is a Volatility Framework plugin which is capable of recovering the Volume Master Keys for volumes protected with… leer más

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About

I'm an Australian who does tech and security stuff. When not at my full-time job, I do independent DFIR / InfoSec / Malware research.

This site acts as an informal outlet for some of my personal work.

Most popular articles:

  1. Recovering BitLocker Keys on Windows 8.1 and 10: A brief touch on how the changes to BitLocker after
  2. Extracting FileVault 2 Keys with Volatility: This is a volatility plugin which can recover FileVault 2
  3. Automated Malware Analysis: mail server -> Cuckoo, V2.0: Quite some time ago I slapped together a couple of
  4. Hunting malware through memory analysis: A word of warning… Lots of screenshots in this post.

Disclaimer: The views expressed here are my own and do not necessarily reflect those of my current or past employers, affiliations, cats, etc.

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