ADF prioritizes digital evidence collection and provides investigators and examiners post-scan options to speed investigations. Post scan options let digital forensic investigators get fast and relevant evidence to make decisions on-scene and in the forensic lab.
Digital Forensic News & Events
Bringing investigators digital forensics and cybersecurity related news from around the world. #AllinForensics


Digital Forensic Image Recognition and Classification
Front line investigators and digital forensic examiners are encountering an ever increasing number of images in almost every investigation they perform. This exponential growth in the volume of images can challenge investigators searching for illicit online activity, Child Sexual Abuse Material (CSAM), extremist propaganda, or other types of image content.
In this short video, ADF digital forensic specialist, Rich Frawley, demonstrates ADF's digital forensic image recognition and classification capabilities.

Targeted Forensic Examinations Save Time in Child Exploitation Cases
A criminal forensic lab located in one of the largest U.S. Federal agencies was working on an extensive child exploitation case and had seized 37 total hard drives that contained over 38 terabytes of data. The case was high profile and the forensic team had a short window of time to examine the contents of the confiscated drives. Technical resources were limited and imaging drives and conducting traditional forensic examinations would be very time consuming. With the amount of data that needed to be searched, the investigators realized that it could potentially be weeks before the examinations were complete and the case could move forward. In addition the case would require significant disk storage space to hold all of the images.

A Typical Child Exploitation Case Solved by ADF DEI
The investigation began after images consistent with child pornography were uploaded to a social media platform. A search warrant was executed at the residence and an on-scene forensic exam of all electronic media was completed by members of the State Police Computer Crime Unit. Using ADF Digital Evidence Investigator®, investigators discovered images and videos of sexual abuse of an under age child and were able to identify a resident of the household as the suspect. Specifically, investigators located thumbcache images that resulted in identifying a female child that was being sexually abused and identified the suspect.
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