Digital Forensics News April 2017

BlackBag are continuing their Windows tutorials with the Windows Registry.

David Cowen demonstrates the built-in anti-forensics options in Windows 10.

Flashpoint have released a report on the cybercrime economy, with a particular focus on analysing communications strategies of cybercriminals.The EU’s latest Serious And Organised Crime Threat Assessment takes an in-depth look at technology’s role in crime, paying particular attention to the darknet.

The Forensics Europe Expo is coming soon to London – if you haven’t yet signed up, there’s still time to register.

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Nadeem Alherwabi, Zarina Shukur and Rossilawati Sulaiman published the results of a survey on data carving in digital forensics.

Magnet have updated their Forensics Training and Certification programs.

Voting is still open for the Forensic 4:cast awards – cast your votes here!

MSAB updated XRY to version 7.3.

Nuix published a blog post explaining why lying is becoming increasingly difficult in the digital age.

Evangelia Vagena published an analysis of the new Greek cybercrime laws.

MediaClone have released the SuperImager Rugged (SI) 12-inch unit, a Computer Forensic Field Acquisition & Analysis platform.

The US Attorney General has ended the National Commission on Forensic Science.

AccessData released AD Lab 6.2.

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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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