Free iPhone Forensics White Paper Released by Chicago Electronic Discovery

Chicago Electronic Discovery released a free white paper on iPhone Forensics at chicago-ediscovery.com that reveals the vast amount of personal information stored on Apple’s iPhone and reviews techniques and software for retrieving this information. Consumers and corporations have a legitimate concern over confidential information and its unauthorized release or use. This paper educates readers on what information is stored and reviews six specific products and techniques for recovering it…The testing was performed on a 3G iPhone with less than six months of use. Yet one technique recovered more than 30,000 files, including text messages, contacts, GPS locations, website history and Facebook images. The testing also recovered highly sensitive information including online banking credentials. Most consumers and corporations are unaware of how much information modern smart phones store. As a result some sell used iPhones without securely deleting data, resulting in complete exposure of all information stored on their devices.

The white paper is available for download at http://chicago-ediscovery.com/iphone-forensicsoftware/ iphone-forensic-white-paper.html by registering with your email address. Notification of future updates will be provided as well as information on an upcoming white paper on Android Forensics.

About Chicago Electronic Discovery

Chicago Electronic Discovery, LLC is an e-discovery and computer/mobile forensic company providing expert consulting services for law firms and corporations. The company also focuses on industry and general education and maintains a computer forensic and e-discovery glossary and technical how-to guides on their website, chicago-ediscovery.com.

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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/

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