Digital forensics faces a critical challenge: balancing investigations with privacy protection. We introduce “privacy-preserving forensics” using advanced technologies to analyze data without compromising privacy.
One offender, active for seven years in day-care centres, was arrested after CSAM (Child Sexual Abuse Material) was found on his seized computer.
Debido a la prominencia de los dispositivos móviles y a la gama de datos que estos recogen de forma continua, resulta inevitable que, cuando se comete un delito, los datos móviles sean una fuente crucial de pruebas.
The comprehensive dark web investigative presentation to date, covering various dark nets: TOR, I2P, Hyphnet, ZeroNet, IPFS, Yggdrasil, & ‘smolweb’, including the differences between them. Investigative methods for dark web investigations will be covered, as well as case studies involving mobile forensic evidence correlating to dark web usage.
Angesichts der Bedeutung mobiler Geräte und der Vielzahl an Daten, die sie fortlaufend erfassen, ist es unvermeidlich, dass mobile Daten bei der Aufklärung von Straftaten eine entscheidende Beweisquelle darstellen.
Multiple Magnet Summit CTF winner, Kevin Pagano and multiple Magnet Virtual Summit CTF author, Jessica Hyde, will host a Capture The Flag workshop to share tips and strategies on how to succeed in a CTF event. This session will help prepare you to compete in a Capture The Flag contest. As part of this talk, we will review CTF style questions and best practices for solving or participating in your first CTF.
Several Bing cyber tips are related to the Yandex website and the use of Russian .RU websites. These websites can contain Base64-encoded URLs that are not processed by the forensic tool. However, if the code is pasted in a web browser it will load the file. Using an SQLite query and a Python script, you can extract all of the encoded URLs from the Microsoft Edge History database and convert the files into the original file.
In today’s digital world, the ease of manipulating and sharing media files with emerging technologies has made it increasingly challenging to detect alterations and prove authenticity. Understanding the underlying structure of these files is essential to ensuring reliable evidence analysis.
The volume of mobile devices that need to be extracted, processed and reviewed for criminal investigations presents a persistent and increasing challenge. Most labs are faced with mobile device backlogs, delaying time to evidence and risking the loss of critical time-sensitive insights that can make the difference in their cases.
In the Dreamworks film Shrek, the titular character said that ‘Ogres are like onions. They have layers.’ Well, Apple isn’t so different from the green hero in that their lovable monster, iOS also features its own layers of data structures all over the file system.
