This talk will offer an overview of two innovative methodologies designed to understand what can be done when malicious or potentially unwanted software runs in the cloud. In the absence of a binary to be analyzed, traditional static and dynamic analysis becomes useless. In particular, I will present our latest IMC’22 paper focusing on the Slack chatbot ecosystem.
Guillermo Suarez-Tangil is an Assistant Professor at IMDEA Networks Institute and a Ramon Y Cajal Fellow. His research focuses on systems security and malware analysis and detection. In particular, his area of expertise lies in the study of smart malware, ranging from the detection of advanced obfuscated malware to the automated analysis of targeted malware. Guillermo also holds a position at King’s College London (KCL) as an Assistant Professor, where he has been part of the Cybersecurity Group since 2018. Before joining KCL, he was a Senior Research Associate at University College London (UCL) where he explored the use of program analysis to study malware. He has also been actively involved in other research directions aiming at detecting and preventing Mass-Marketing Fraud and security and privacy issues on the social web.