Digital Forensics News August 2017

The Techno Security & Digital Forensics Conference in San Antonio, TX is fast approaching! Forensic Focus members can enjoy a 30% discount on the registration price using the code FOCUSTX17.

HddSurgery have released new slim sets to deal with ultra slim drives.

DFRWS have published their forensic challenge for 2017-2018, focusing on IoT forensics.

Oxygen Forensic Detective now supports Telegram Cloud, as well as 39 other cloud services.

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The latest issue of the Digital Investigation journal has been released.

Atola Technology have released Atola Insight Forensic 4.9.

Magnet Forensics have released a new white paper on Android acquisition methods.

Oleg Skulkin and Scar de Courcier have released the Windows Forensics Cookbook, which helps readers perform investigations on Windows machines.

MobileEDIT from Compelson now includes Phone Copier 4.1 for Android, allowing complete backups of Android devices.A new plugin has been developed for Autopsy, allowing users to parse the volume shadow of an image.

Brett Shavers discussed how it is possible to place a suspect behind a keyboard, even if they’re using obfuscation methods.

Magnet AXIOM will shortly be able to obtain evidence from cloud-based services, using the new Magnet AXIOM Cloud.

SalvationData are running a free training course for their VIP software.

Paraben now gathers data from the the Amazon Echo and its virtual assistant Alexa.

Oxygen Forensics can now extract data from locked Motorola devices, using Jet Imager.

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Latest Videos

Quantifying Data Volatility for IoT Forensics With Examples From Contiki OS

Forensic Focus 22nd June 2022 5:00 am

File timestamps are used by forensics practitioners as a fundamental artifact. For example, the creation of user files can show traces of user activity, while system files, like configuration and log files, typically reveal when a program was run. 

Despite timestamps being ubiquitous, the understanding of their exact meaning is mostly overlooked in favor of fully-automated, correlation-based approaches. Existing work for practitioners aims at understanding Windows and is not directly applicable to Unix-like systems. 

In this paper, we review how each layer of the software stack (kernel, file system, libraries, application) influences MACB timestamps on Unix systems such as Linux, OpenBSD, FreeBSD and macOS.

We examine how POSIX specifies the timestamp behavior and propose a framework for automatically profiling OS kernels, user mode libraries and applications, including compliance checks against POSIX.

Our implementation covers four different operating systems, the GIO and Qt library, as well as several user mode applications and is released as open-source.

Based on 187 compliance tests and automated profiling covering common file operations, we found multiple unexpected and non-compliant behaviors, both on common operations and in edge cases.

Furthermore, we provide tables summarizing timestamp behavior aimed to be used by practitioners as a quick-reference.

Learn more: https://dfrws.org/presentation/a-systematic-approach-to-understanding-macb-timestamps-on-unixlike-systems/

File timestamps are used by forensics practitioners as a fundamental artifact. For example, the creation of user files can show traces of user activity, while system files, like configuration and log files, typically reveal when a program was run.

Despite timestamps being ubiquitous, the understanding of their exact meaning is mostly overlooked in favor of fully-automated, correlation-based approaches. Existing work for practitioners aims at understanding Windows and is not directly applicable to Unix-like systems.

In this paper, we review how each layer of the software stack (kernel, file system, libraries, application) influences MACB timestamps on Unix systems such as Linux, OpenBSD, FreeBSD and macOS.

We examine how POSIX specifies the timestamp behavior and propose a framework for automatically profiling OS kernels, user mode libraries and applications, including compliance checks against POSIX.

Our implementation covers four different operating systems, the GIO and Qt library, as well as several user mode applications and is released as open-source.

Based on 187 compliance tests and automated profiling covering common file operations, we found multiple unexpected and non-compliant behaviors, both on common operations and in edge cases.

Furthermore, we provide tables summarizing timestamp behavior aimed to be used by practitioners as a quick-reference.

Learn more: https://dfrws.org/presentation/a-systematic-approach-to-understanding-macb-timestamps-on-unixlike-systems/

YouTube Video UCQajlJPesqmyWJDN52AZI4Q_i0zd7HtluzY

A Systematic Approach to Understanding MACB Timestamps on Unixlike Systems

Forensic Focus 21st June 2022 5:00 am

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