Reports

This paper discusses our project that involved searching for vulnerabilities in implementations of the OPC UA protocol. In publishing this material, we hope to draw the attention of vendors that develop software for industrial automation systems and the industrial internet of things to problems associated with using such widely available technologies, which turned out to be quite common.

This report by Kaspersky Lab ICS CERT presents information on identified servers that have been infected and used by the group. The report also includes the findings of an analysis of several webservers compromised by the Energetic Bear group during 2016 and in early 2017.

In this report, Kaspersky Lab Industrial Control Systems Cyber Emergency Response Team (Kaspersky Lab ICS CERT) publishes the findings of its research on the threat landscape for industrial automation systems conducted during the second half of 2017.

The researchers at Kaspersky Lab ICS CERT decided to check the popular smart camera to see how well protected it is against cyber abuses.

There can never be too many IoT gadgets – that’s what people usually think when buying yet another connected device with advanced functionality. From our perspective, we also think there can’t be too many IoT investigations.

A few months ago, while undertaking unrelated research into online connected devices, we uncovered something surprising and realized almost immediately that we could be looking at a critical security threat.

Why we decided to analyze SafeNet Sentinel Vulnerabilities and attack vectors Peculiar functionality Non-transparent security Update software to the current version (7.6) ASAP   In the past years, the problem of vulnerabilities in industrial automation systems has been becoming increasingly important. The fact that industrial control systems have been developing in parallel with IT systems,...

Modern industrial control systems (ICS) are cyber-physical systems that include IT infrastructure and operational technologies or OT infrastructure. Attacks on OT pose the greatest danger and are very difficult to detect. The MLAD (Machine Learning for Anomaly Detection) technology is designed to protect OT.

The Threat Landscape in 2017 The year 2017 was one of the most intensive in terms of incidents affecting the information security of industrial systems. Security experts discovered hundreds of new vulnerabilities, researched new threat vectors targeting ICS and industrial processes, collected and analyzed statistics on accidental infections of industrial systems and detected targeted attacks...

Critical vulnerabilities that have recently been identified in the WPA2 protocol enable threat actors to carry out Man-in-the-Middle (MitM) attacks and force devices connected to the network to reinstall encryption keys that protect traffic. These vulnerabilities can be used, among other things, to implement attacks on industrial automation systems.