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Memory Forensics

Written by DFMag


Memory Forensics

Haider M. al-Khateeb and Carsten Maple explain how to harvest Windows Credentials from volatile storage.

In forensic investigations, it is a challenge to recover objective evidence through means of research then attribute the relevant artefacts to an individual. In this series of articles and within the context of volatility memory forensic investigation, we set our scope on recovering user credentials which could be essential not only to unlock hidden and/or encrypted data but also to identify recent users and analyse their unique characteristics. These can then be used to establish a connection between digital evidence and a user of the system. That being said, the article also aims to critically discuss the significance of memory forensics, in addition to demonstrating tools and techniques used to carry out the process of memory acquisition and analysis.




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Featured Book

Learning iOS Forensics

A practical hands-on guide to acquire and analyse iOS devices with the latest forensic techniques and tools.

Meet the Authors

Andrew Harbison

Andrew Harbison is a Director and IT Forensics Lead at Grant Thornton

 

Coming up in the Next issue of Digital Forensics Magazine

Coming up in Issue 41 on sale from November 2019:


Forensic Syntactical & Linguistic Investigation

Mark Iwazko presents a case study regarding a Forensic Syntactical & Linguistic investigation: Instructed by the Moscow General Council of one of the actual big four accountants. Read More »

Forensic Readiness: A Proactive Approach to Support Forensic Digital Analysis

An increasing number of criminal actions are inflicting financial and brand damage to organizations around the globe. An impressive number of such cases do not reach the courts, mainly because of the organization’s inefficiency to produce robust digital evidences that are acceptable in the courts of law. Read More »

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Using Error-Patterns for Attribution: An Applied Linguistics Technique

Corpus Linguistics within Second Language Acquisition has developed models of error patterns made by defined groups of second language learners. This knowledge base can be leveraged by a knowledgeable analyst to attribute content to a subset of authors. Read More »

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