How to confuse antimalware neural networks. Adversarial attacks and protection

Nowadays, cybersecurity companies implement a variety of methods to discover new, previously unknown malware files. Machine learning (ML) is a powerful and widely used approach for this task. At Kaspersky we have a number of complex ML models based on Read More …

NukeSped Copies Fileless Code From Bundlore, Leaves It Unused

While investigating samples of NukeSped, a remote access trojan (RAT), Trend Micro came across several Bundlore adware samples using the same fileless routine that was spotted in NukeSped. The backdoor has been attributed to the cybercriminal group Lazarus, which has Read More …

Matanbuchus: Malware-as-a-Service with Demonic Intentions

Unit 42 researchers often spend time investigating what we call non-traditional sources. Non-traditional sources often include underground marketplaces and sites, spanning from forums on the Tor network to Telegram channels and other marketplaces. One such case that we investigated involves Read More …