CAPEC (Common Attack Pattern Enumeration and Classification) is a project that focuses on enumerating and classifying common attack patterns on computer systems and providing a systematic approach to understanding and addressing the tactics used by attackers. Like CWE (Common Weakness Enumeration), CAPEC is an initiative of the computer security community and is maintained by the National Institute of Standards and Technology (NIST) in the United States. Recently in version 3.9, the project has incorporated a number of attack patterns related to the industrial world.
This article aims to show the reader the use of these codes, such as those used at the identifier level in CVEs, CWEs, etc., and which are related to many of the jobs that are carried out on a daily basis in the industrial cybersecurity sector.
The automotive world has always been one of the most cutting-edge sectors in terms of the technology used, which is why today's cars are equipped with technologies such as Bluetooth, NFC, GPS, etc., which improve different aspects such as comfort, fuel efficiency and increased safety.
But these implemented technologies can also bring with them serious problems, such as the risk of cyber-attacks that can affect passengers in the vehicle, both at the level of personal data and physical security.
For this reason, this article aims to provide an insight into some of the cyber-attacks that smart cars have suffered and how cyber-security is evolving and adapting to make more and more vehicles cyber-safe.
The industrial environment, especially the energy sector, is one of sectors that is suffering the most from cyber-attacks. This trend has been increasing in recent years, as this is one of the most information-sensitive sectors and can cause major problems, both economically and socially.
One of the best examples of malware attacks is BlackEnergy. This malware became known for being able to compromise several electricity distributors on 23 December 2015, causing households in the Ivano-Frankvisk region of Ukraine (a population of around 1.5 million) to be without electricity.
For this reason, due to seriousness of this type of cyberattacks, it is necessary to continue researching and investing in industrial cybersecurity, to reduce the damage caused by this type of cyber-attack in industrial environments.
IoT networks are very useful for everyday life, but their use is not limited only to this type of environment; there are industrial environments where this type of networks can benefit connectivity between industrial devices and provide capabilities that other types of networks could not. The 3rd Generation Partnership Project or 3GPP developed the NB-IoT protocol, a protocol for when networks with higher performance, higher speed and high interconnectivity capacity between devices are required. This protocol can work both in IoT devices and in IoT devices in the industrial environment (IIoT).
The OPC UA (OPC unified architecture) communication protocol is the most modern standard presented by OPC Foundation. Currently, the OPC UA protocol is one of the most widely used in industrial environments, due to its ability to interconnect different devices, regardless of their base protocol and vendor.
Throughout this article, a technical assessment of the protocol will be conducted, explaining in detail the technical capabilities that allow a high level of cybersecurity to be implemented without causing performance losses in the devices.
In the industrial world, there are a large number of systems, equipment, networks, areas, ducts, cloud environments, IT-OT environments, etc. In recent years, the number of attacks on industrial environments has been growing exponentially, and not only on purely industrial environments, but also on corporate environments that are connected to industrial environments. These IT environments being access points for attackers due to this IT/OT connectivity.
Firmware analysis can help to uncover potential vulnerabilities that would otherwise never have been discovered.
Although there are multiple types of attacks on IoT and IIoT devices, this guide focuses on the firmware of these devices to check for potential vulnerabilities, using security testing and reverse engineering to allow for an in-depth analysis of the firmware.