Presented at
DEF CON 30 (2022),
Aug. 13, 2022, 9:30 a.m.
(50 minutes)
This talk focuses on using Python to acquire LIVE open-source intelligence (OSINT) from tweets and the associated images, videos, and translated emojis from geographically bounded areas anywhere in the world. This method delivers a plethora of information (tweets, images, videos, emojis, friends, followers, and detailed mapping of movement) within a specific time/space continuum, including chronolocation data. Twitter routinely removes tweets and images from their platform based on policy violations and other influences. By acquiring them “at the moment they are tweeted” provides timely access to live events, as well as the ability to preserve future redacted information. Our ability to generate alerts of aberrant behaviors through the lens of those on the scene has never been more important. The lecture and demonstration will include real examples of collections and mapping from war zones, natural disasters, social unrest, and criminal activity.
Presenters:
-
Chet Hosmer
- Professor of Practice
Chet serves as a Professor of Practice at the University of Arizona in the Cyber Operations program where he is teaching and researching the application of Python and Machine Learning to advance cybersecurity challenges. Chet is also the Founder of Python Forensics, Inc. which is focused on the collaborative development of open-source investigative technologies using Python and other popular scripting languages. Chet has been researching and developing technology and training surrounding forensics, digital investigation, and steganography for decades. He has made numerous appearances to discuss emerging cyber threats including National Public Radio's Kojo Nnamdi show, ABC's Primetime Thursday, and ABC News Australia. He has also been a frequent contributor to technical and news stories relating to cybersecurity and forensics with Forbes, IEEE, The New York Times, The Washington Post, Government Computer News, Salon.com and Wired Magazine.
Similar Presentations: