On Wednesday, October 2, at the 29th Virus Bulletin International Conference (VB2019) in London, our researchers Veronica Valeros, Maria Rigaki, Kamila Babayeva and Sebastian Garcia will present the results of more than 3 years of studying and tracking the Machete APT in their talk “A Study of Machete Cyber Espionage Operations in Latin America”.
We presented a talk at the Packet Hacking Village in Defcon titled "Beyond Sandboxes. How to Execute IoT Malware and Analyze its evolution. We showed how we designed and deployed an IoT malware execution laboratory to run malware for months and how we analyzed it to find novel attacks.
On May 27-30 I participated as member of the CERTUNLP in a conference organized by the Government of Neuquén province in Argentina. Together with LACNIC in the frame of the Amparo Project we participated giving a workshop to other incident responders and members of CSIRTs. The event was very successful. The audience gathered individuals responsible for the security area of many Argentine provinces as well as National Universities, representatives of local ISPs, banks and other public and private organizations. By Paula Venosa.
On June 20th will take place in Stockholm the First Workshop on Attackers and Cyber-Crime Operations (WACCO) as part of the IEEE European Symposium on Security and Privacy (EuroSP). WACCO is a great initiative that provides the opportunity for research, discussions, and sharing on cyber-criminal activities.
During DEFCON 26 the AI village hosted a jeopardy style CTF with challenges related to AI/ML and security. I thought it would be fun to create a challenge for that and I had an idea that revolved around Denoising Autoencoders (DA). The challenge was named “Too much noise” but unfortunately it was not solved by anyone during the CTF. In this blog I would like to present the idea behind it and how one could go about and solve it.
Last week I had the opportunity to attend the 1st Transylvanian Deep Learning Summer School (TMLSS). It took place in Cluj, Romania and its main focus was Deep Learning and Reinforcement Learning. Here is the link to website that includes the programme and the full list of lecturers. (link)