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
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.
Evasive Panda APT poisons DNS requests to deliver MgBot
Kaspersky GReAT experts analyze the Evasive Panda APT’s infection chain, including shellcode encrypted with DPAPI and RC5, as well as the MgBot implant.
Cloud Atlas activity in the first half of 2025: what changed
Kaspersky expert describes new malicious tools employed by the Cloud Atlas APT, including implants of their signature backdoors VBShower, VBCloud, PowerShower, and CloudAtlas.
Operation ForumTroll continues: Russian political scientists targeted using plagiarism reports
Kaspersky’s GReAT experts have uncovered a new wave of cyberattacks by the ForumTroll APT group, targeting Russian political scientists and delivering the Tuoni framework to their devices.
