My name is Nino Pellegrino and I’m currently working as a Threat Researcher at Infoblox. I like to think of myself as a malware researcher with a strong interest in studying malicious software behaviour and how to describe it. My research topics include malware reverse engineering, state machine learning, and software telemetry analysis.
Coures, Seminars, and Workshops
- YARA: the Rise of Static Properties, University of Naples Federico II, 2020
- CINI Cyber Challenge, several Italian univerisities (remote), 2020
- A Taste of Real-life Malware Analysis, Statale University of Milan, 2019-2020
- Intelligence and Social Media, University of Salerno, 2019
- RATs in Action, Statale University of Milan, 2018
- Malwa-RE, Delft University of Technology, 2015-2016
Publications
- Deep Analysis of a Recent Lokibot Attack, technical report, 2021
- Learning Deterministic Finite Automata from Infinite Alphabets, International Conference on Grammar Inference, 2017
- Improved privacy of dynamic group services, EURASIP Journal on Information Security, 2017
- Learning Behavioral fingerprints from Netflows using Timed Automata, IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017
- Short-term Time Series Forecasting with Regression Automata, SIGKDD 2016 Workshop on Mining and Learning from Time Series (MiLeTS), 2016
- Efficient Learning of Communication Profiles from IP Flow Records, 41st Conference on Local Computer Networks (LCN), 2016