Collaborate Disseminate
How we took part in the Machine Learning Security Evasion Competition (MLSEC) — a series of trials testing contestants’ ability to create and attack machine learning models. Continue reading How we took part in MLSEC and (almost) won
Dan Demeter, Senior Security Researcher with Kaspersky’s Global Research and Analysis Team and head of Kaspersky’s Honeypot project, explains what honeypots are, why they’re recommended for catching external threats, and how you can set up your own simple SSH-honeypot. Continue reading Detecting unknown threats: a honeypot how-to
Сybersecurity companies implement a variety of methods to discover previously unknown malware files. Machine learning (ML) is a powerful and widely used approach for this task. But can we rely entirely on machine learning approaches in the battle with the bad guys? Or could powerful AI itself be vulnerable? Continue reading How to confuse antimalware neural networks. Adversarial attacks and protection
The 2017 VirusBulletin conference is upon us and, as in previous years, we’re taking the opportunity to dive into an exciting subject, guided by our experience from doing hands-on APT research. This year we decided to put our heads together to understand the implications that the esoteric SIGINT practice of fourth-party collection could have on threat intelligence research. Continue reading The Festive Complexities of SIGINT-Capable Threat Actors
In addition to the basic methods and technologies developed to protect corporate networks, there are interactive methods of protection that not only detect an intruder in the infrastructure but also, under certain conditions, receive real-time information about their activities in the corporate network. Continue reading Deceive in order to detect
Targeted attackers are using an increasingly wide range of deception techniques to muddy the waters of attribution, planting ‘False Flag’ timestamps, language strings, malware, among other things, and operating under the cover of non-existent groups. Continue reading Wave your false flags!