Magnet AXIOM 1.2.4 Brings New Capabilities To Bypass Android Passwords

Magnet AXIOM 1.2.4 is now available for customers to download. With the latest release of AXIOM, we’re bringing new capabilities to bypass Android passwords, full cloud token integration, McAfee Decryption, and more.Mobile Acquisition Improvements
With AXIOM 1.2.4, there are new capabilities to bypass Android passwords on LG and Samsung phones — giving you the ability to unlock devices and acquire smartphone data. Specifically:

– LG — Bypass and Physical Extraction. On specific LG devices, you can bypass the password and extract a full physical acquisition.
– Samsung — MTP Extraction. Extract pictures, videos, and files from the device and the SD card without a device password. This capability is critical for recovering data off encrypted SD cards and devices with USB debugging disabled.

Read more about how AXIOM 1.2.4 can extract data from a Samsung device using advanced MTP in this blog.

AXIOM Cloud Enhancements
AXIOM Cloud now has full Cloud token integration. Cloud tokens are now represented as artifacts in Examine and can be used to acquire the cloud data with one click. When combined with our ability to extract cloud tokens from mobile devices, we’ve made it easier to acquire cloud evidence without relying on user credentials.

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We’ve also added support for Instagram direct messages and Office 365 SharePoint pages (captured via URL.)

AXIOM Computer Disk Decryption
Corporate examiners can detect and decrypt McAfee encryption with a known password or recovery key — without user credentials.

Other Updates in AXIOM 1.2.4
In addition to new language support for users, we’ve also added additional support for .HEIC files. These proprietary photo files from Apple will now show up with previews, saving you time as you go through photo libraries.

Get the Latest Version of Magnet AXIOM Today!
Customers can now get AXIOM 1.2.4 over at the Customer Portal. If you haven’t tried AXIOM yet, request a free 30-day trial here.

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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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