“Oh no, the suspect ran CCleaner to get rid of the evidence!”

“I recently received a few questions about the effects of running Internet history sanitation tools such as CCleaner, when examining a computer looking for internet related artifacts. CCleaner is freely available online and commonly used to ‘sanitize’ user activity. From the online documentation, CCleaner is said to protect privacy by cleaning out Internet browsing history and temporary internet files.

I have personally run into CCleaner on several cases when examining digital evidence and found it to have a varying degree of effectiveness, depending on exactly the types of artifacts you are trying to find/recover after its use. CCleaner has the ability to clean and remove information from several different locations, including the registry, the recycle bin and even wipe the disk. For this article, I am focusing on its effectiveness against the ability to recover Internet related history after CCleaner has been run…”

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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. 

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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

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