Digital Forensics News May 2019

This year’s Digital Forensics Challenge from the Korean Institute of Information Security & Cryptology (KIISC) has been announced.

BlackBag’s latest version of MacQuisition can now decrypt physical images of the latest Mac systems utilizing the Apple T2 chip.

Magnet AXIOM 3.1 is now available to download – it includes GrayKey integration and a new SQLite viewer.

BlackBag and Traversed have partnered up to provide examiners and investigators access to forensic services that can assist with unique cases and circumstances that require additional expertise.

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Susteen’s Data Pilot 10 has been updated, providing up to 50% reduction in processing time.

Cyber Sleuth Labs, an initiative to help young people get into the industry, have released a video to demonstrate what they do.Hexacorn discusses how to write reports for digital forensics & security.

Cellebrite have shared a case study of a murder that was solved using GPS data.

Amped showed how thumbnails can contain important information, and demonstrated how to use Authenticate to help you find it.

DME Forensics have set up a new digital forensics training program, focusing on video data recovery and analysis.

Kate Carruthers, who is currently studying digital forensics, has shared her thoughts on the learning process and on the industry from a new practitioner’s perspective.

Brett Shavers talks about three common fears when presenting digital forensics content, and how they can be addressed.

Atola's TaskForce 2019.4 release is here, including compression support to minimize E01 file size and support for storing multiple image files on the destination drive.

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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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