Job Vacancies: Digital Forensic Analysts & Investigators – Central London

Do you want to join the Serious Fraud Office (SFO) and help us combat serious economic crime?

We are recruiting for two Analysts and two Investigators to join our Digital Forensics Unit.

The Digital Forensic Unit (DFU) is responsible for the handling of all digital evidence seized or acquired by the Serious Fraud Office. This includes the collection of evidence on site, forensic processing of any items seized or received from third parties, and the processing of these items into a medium that Case Teams can access through the SFO Digital Review System (DRS).The team works closely with the Case teams and third party suppliers to ensure that required material is delivered in a timely and appropriate manner.

DFU Investigators and Analysts are required to carry out a number of tasks on daily basis working alongside other analysts and investigators. These tasks can include Forensic imaging and acquisition, liaising with case teams, elements of eDiscovery and reporting clear and concise details of progress and findings.

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Digital Forensic Analyst
Salary: 26,787-29,847
Location: Central London
Number of vacancies: 2

For more information and to apply, click here

Digital Forensic Investigator
Salary: 32,628 – 36,550
Location: Central London
Number of vacancies: 2

For more information and to apply, click here

About Us

The SFO is a specialist prosecuting authority tackling the top level of serious or complex fraud, bribery and corruption.

We are part of the UK criminal justice system covering England, Wales and Northern Ireland, but not Scotland, the Isle of Man or the Channel Islands. We are a unique law enforcement organisation in that we both investigate and prosecute cases. We are set up this way because these kinds of cases are complicated and lawyers and investigators need to work together from the beginning. Our investigative casework involves high profile complex acquisitive crimes often with many victims and significant multi million pound losses. We work closely with our colleagues across the criminal justice and regulatory sectors both here in the UK and abroad to address the growing threat from economic crime and to get justice and compensation for its victims

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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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