Alexey Antonov
Lead data scientist, Kaspersky
Alexey joined Kaspersky in 2010. In his current role, he leads the Detection Methods Analysis Group (DMAG). The group researches up-to-date machine learning techniques and implements these to detect security threats. Alexey has developed a variety of models for detecting executable files, created locality-sensitive hashing for PE files, and designed models for detecting intrusion methods. He holds patents to many of these innovations. Alexey also conducts research in the field of ML model security. His expertise is backed by a Ph.D. degree in the field of mathematics and software engineering for computers, complexes, and computer networks.Publications
Reports
EAGERBEE, with updated and novel components, targets the Middle East
Kaspersky researchers analyze EAGERBEE backdoor modules, revealing a possible connection to the CoughingDown APT actor.
BellaCPP: Discovering a new BellaCiao variant written in C++
While investigating an incident involving the BellaCiao .NET malware, Kaspersky researchers discovered a C++ version they dubbed “BellaCPP”.
Lazarus group evolves its infection chain with old and new malware
Lazarus targets employees of a nuclear-related organization with a bunch of malware, such as MISTPEN, LPEClient, RollMid, CookieTime and a new modular backdoor CookiePlus.
Careto is back: what’s new after 10 years of silence?
Kaspersky researchers analyze 2019, 2022 and 2024 attacks attributed to Careto APT with medium to high confidence.
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