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
OceanLotus suspected of using PyPI to deliver ZiChatBot malware
Kaspersky researchers uncovered malicious wheel packages in PyPI that targeted both Windows and Linux and contained a dropper delivering malware dubbed ZiChatBot. We attribute this activity to OceanLotus APT.
Silver Fox uses the new ABCDoor backdoor to target organizations in Russia and India
The Silver Fox group is targeting companies in Russia and India by impersonating tax authorities to distribute ValleyRAT and the new ABCDoor backdoor.
HoneyMyte updates CoolClient and deploys multiple stealers in recent campaigns
Kaspersky researchers analyze updated CoolClient backdoor and new tools and scripts used in HoneyMyte (aka Mustang Panda or Bronze President) APT campaigns, including three variants of a browser data stealer.
The HoneyMyte APT evolves with a kernel-mode rootkit and a ToneShell backdoor
Kaspersky discloses a 2025 HoneyMyte (aka Mustang Panda or Bronze President) APT campaign, which uses a kernel-mode rootkit to deliver and protect a ToneShell backdoor.
