Matt Suiche
Cybersecurity Researcher
Hi there! My name is Matt Suiche, currently serving as the Director of Incident Response R&D at Magnet Forensics (MAGT:TO). Our organization is passionately dedicated to justice and protecting the innocent, a mission we embarked on more intensely after the 2022 acquisition of my cybersecurity start-up, Comae Technologies.
My professional journey began as the Chief Scientist and Co-Founder at CloudVolumes which was acquired by VMware (NASDAQ:VMW) in 2014, before founding Comae. In addition, I’m proud to have initiated the cybersecurity community project, OPCDE.
My life-long fascination with learning and understanding complex systems first led me to cybersecurity. My teenage years were spent immersed in reverse engineering, which ignited a profound curiosity about technology that continues to this day. I’ve since explored various fields including operating systems architecture, programming languages, virtualization, modern web application development, and generative art. Furthermore, I’ve delved into numerous domains such as privacy, surveillance, forensics, blockchain, and community development among others.
Latest
SMBaloo 🔗A CVE-2020-0796 (aka “SMBGhost”) exploit for Windows ARM64.
Because vulnerabilities and exploits don’t need to always have scary names and logos.
GitHub Repository: https://www.github.com/msuiche/smbaloo Original post on Comae’s blog: https://www.comae.com/posts/2020-06-25_smbaloo-building-a-rce-exploit-for-windows-arm64-smbghost-edition/ Author: Matt Suiche (@msuiche) Acknowledgments 🔗 @hugeh0ge for his great blogpost and @chompie1337 for her excellent POC! On top of answering my questions on Twitter, their materials were really good and helped me immensely to understand the vulnerability and the exploitation part.
Key Takeaways 🔗 Twitter is doing better than other platforms by releasing datasets, albeit partial, on Information Operations (IO). There is so much more information yet to be disclosed. Recommendations are given. Attribution blindspots seem to be a common problem with social media companies. Aggregated Twitter data and Python scripts are available on Github - and will be kept up-to-date. Beautiful dynamic data visualization for Twitter’s IO datasets, generated in real time from our GitHub datasets.
Key Takeaways 🔗 A lot of the information shared by social media companies is still incomplete or missing. Further transparency on processes and data is required to increase visibility and awareness of campaigns. Elections have been a key focus of CIB campaigns. CIBs are also currently used in conflict-affected & politically vulnerable countries (e.g. Northern & Eastern Africa), although under-reported by media outlets. The data collected on Facebook’s CIBs is available on GitHub.