Insights from the global provider of digital forensic investigation software
Samsung, Huawei, and Sony devices have always been a challenge for investigators. The manufacturers of these devices use the same chipsets as mid and low-end devices, however, the same extraction approaches cannot be applied to them due to an extra layer of security. Even if a vulnerability is found, it is eventually fixed, and the …
Continue reading “Screen lock bypass and physical extraction of Sony Android devices”
The amount of information acquired from an application can be overwhelming, not only for investigators but for device owners. Dozens of constantly-updating apps may be installed on the device, but how many of those apps have actually been used? And when? These are questions that often arise during investigations, and we are here to help …
Continue reading “Take It One Step Further with App Activity Analysis”
Online dating allows people to easily connect with those around them also looking for relationships. With stay-at-home orders, more and more people have turned to dating apps as a source of communication, socialization, and entertainment. However, the ease of use and accessibility of dating apps have also provoked a surge in criminal activities, primarily sex …
Sony MTK Dump Mobile forensics Oxygen Forensic® Detective 13.3 implements a new extraction method entitled “Sony MTK Dump”. This method allows investigators to bypass the screen lock and create a full physical dump of Sony devices based on MTK chipsets with Full Disk Encryption (FDE). If Secure Startup is enabled, investigators can use the built-in …
At the end of last year, we released Oxygen Forensic® Detective v.13.2, an update that introduced critical enhancements to some of our most utilized features – Facial Categorization and Image Categorization. Oxygen Forensic Detective 13.3 takes these advancements a step further. Let’s see how… A need for Advancement In July, a poll by National Geographic …
Continue reading “New Facial and Image Categorization Can Now Identify Faces Wearing Masks”