USPTO Awards Key Patent to ADF Solutions for Digital Forensics

ADF Solutions, Inc., a provider of forensic triage tools for computers and peripherals, has announced that it has been granted a patent by the U.S. Patent and Trademark Office pertaining to methods of searching forensic data. The patent has critical applications for forensic triage, cyber-security, cyber-intelligence, digital forensics, and e-discovery. The patent covers the company’s innovative SearchPak® technology, which enables an organization to capture its digital forensic investigative strategy and share it across organizations and with other individuals while not revealing the actual content…The SearchPak hides the complexity of the detailed forensic search definition and stores it in a secure container that can be deployed and used by non-forensically trained operators. This process allows analysts and forensic examiners to control precisely the job performed by the operators.

For law enforcement and intelligence agencies, the SearchPak technology allows the agencies to share digital intelligence for investigations while still maintaining secrecy. This has been a major breakthrough for key agencies, as the inability to share key intelligence was identified as a major issue leading to the 9/11 attacks.

“This patent rewards ADF’s efforts to bring innovative technologies to the digital forensics and cyber-security fields,” said Raphael Bousquet, CTO and co-founder of ADF Solutions. “We are working on many other technologies as innovative as our SearchPaks, such as CapturePaks™ and ActivitySensor™, to extend the applicability of our tools.”

The company has several other patents pending.

Get The Latest DFIR News!

Top DFIR articles in your inbox every month.


Unsubscribe any time. We respect your privacy - read our privacy policy.

About ADF Solutions:
ADF Solutions, Inc. is the global leader in forensic triage tools for rapid evidence recovery and intelligence extraction from computers and peripheral devices. The tools have a proven track record of reducing forensic backlogs, securing fast convictions, and identifying suspects who are a threat to national security. The tools are designed to be used by both technical and nontechnical users and are widely deployed for both field and lab investigations. ADF Solutions’ clients include major law enforcement, defense, customs border, and intelligence agencies worldwide.

For more information, visit www.adfsolutions.com.

“SearchPak” is a registered trademark of ADF Solutions. “CapturePak” and “ActivitySensor” are trademarks of ADF Solutions. All other trademarks referenced herein are the property of their respective owners.
NEWS SOURCE: ADF Solutions, Inc.

Leave a Comment

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

This error message is only visible to WordPress admins

Important: No API Key Entered.

Many features are not available without adding an API Key. Please go to the YouTube Feed settings page to add an API key after following these instructions.

Latest Articles

Share to...