Register For Webinar: Overcoming Email Preservation Challenges

Email evidence often plays a pivotal role in digital forensics investigations and eDiscovery. When preserving emails from the cloud, forensics experts have to consider issues such as multi-factor authentication, running-in-place searches on the server before the acquisition, handling server errors and throttling, privacy issues, and time constraints.

In this webinar, we will discuss how to overcome such challenges with the right tools and workflow. You will also be able to join the conversation and ask questions live!

Join Arman Gungor for a 60-minute webinar where you’ll learn:

– How to acquire emails from mailboxes without having to learn the custodian’s password.
– How law enforcement agencies can preserve emails from suspects’ mailboxes using existing browser login sessions.
– What you can do to complete an acquisition successfully if the process gets interrupted due to network errors or server throttling.
– How you can run comprehensive, in-place searches on Gmail, Exchange, and IMAP servers before the acquisition.
– How to document your process effectively during a forensic email collection.

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Presenter: Arman Gungor, Metaspike

Thursday, October 25, 2018 at 11 AM (PDT)

Register 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/

YouTube Video UCQajlJPesqmyWJDN52AZI4Q_i0zd7HtluzY

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