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.Kaspersky discloses new tools and techniques discovered in 2025 Tomiris activities: multi-language reverse shells, Havoc and AdaptixC2 open-source frameworks, communications via Discord and Telegram.
Kaspersky experts analyze the ToddyCat APT attacks targeting corporate email. We examine the new version of TomBerBil, the TCSectorCopy and XstReader tools, and methods for stealing access tokens from Outlook.
Kaspersky GReAT experts dive deep into the BlueNoroff APT’s GhostCall and GhostHire campaigns. Extensive research detailing multiple malware chains targeting macOS, including a stealer suite, fake Zoom and Microsoft Teams clients and ChatGPT-enhanced images.
Kaspersky researchers discovered previously unidentified commercial Dante spyware developed by Memento Labs (formerly Hacking Team) and linked it to the ForumTroll APT attacks.