As of December 2012, NCMEC’s child victim identification program has reviewed and analyzed more than 80 million child pornography images since it was created in 2002.

25 million images are reviewed by the National Center for Missing & Exploited Children (NCMEC) annually. That’s 480,769 images per week!

There has been a 774% increase in the number of child pornography images and videos reviewed through the NCMEC Child Victim Identification Program.

It is not a harmless act to look at child exploitation material and it is not something that you do unless you have a sexual interest in children. The exception being the forensic analysts that are often tasked with finding, extracting, and documenting illicit child exploitation material for use in criminal cases. Though extraction can be automated, the analyst must still visually inspect the majority of the content to determine if it should be included as evidence.

This process is not only time consuming but also mentally draining and potentially traumatizing for the analyst. In fact, there are several documented cases of law enforcement officers developing PTSD from being exposed to a constant barrage of illicit content. This is why we developed Oculum.

The open source Oculum tool was designed to aid forensic analysts in determining the probability that visual content (images and video) contains illicit content and provide a detailed report on its findings. This allows forensic analysts to narrow the analysis using automatically assigned tags, review specific illicit child exploitation content as it pertains to a particular case, victims, or suspects, and maintain a database of known cryptographic hashes, filenames, and other metadata for use in future cases.

Our Presentation at Nolacon 2018