IDSs are passive elements that are in our network to ensure its security, but what would happen if all our communications were encrypted, or would this protection measure be enough to ensure that my network is protected? These questions and more will be discussed in the following article to provide solutions and advice focused on industrial environments.
When talking about an endpoint device, we are talking about an end asset present at the network level. Among these devices we can find engineering stations (workstations), HMI, SCADA or PLC, among others.
The evolution of industrial environments towards models in which these equipment are connected, both with corporate networks and remotely with suppliers, for maintenance purposes, exposes them to new threats. That is why industrial endpoints must be properly and individually protected and at multiple levels so that they cannot be compromised. These end systems are key security hotspots because their vulnerabilities could affect other assets within the network.
The programming of PLCs is a fundamental part of the initial phases when building and designing industrial plants. About that environment, the company will base all its operations in that environment making the configuration of these controllers a critical element. When it comes to programming these devices there are a series of steps and best practices that take advantage of the native functionalities available and that involve little or no need to resort to a PLC programmer, protecting the device in a simple way with minimum spend on resource.
Nobelium es la denominación de Microsoft para un grupo de atacantes que, según la atribución llevada a cabo por la Agencia de Seguridad de Infraestructura y Ciberseguridad (CISA) de Estados Unidos, pertenecen al Servicio de Inteligencia Exterior (SRV) de Rusia. Este grupo criminal es conocido por el ataque a la cadena de suministro de SolarWinds, y una campaña masiva de phishing haciéndose pasar por una empresa de desarrollo estadounidense.
This post presents some lines of action that should be followed to deal with a DrDoS cyberattack based on the ARD protocol, describing in detail the prevention, identification and response phases to follow.
In recent years, the concept of machine learning has gained more prominence, mainly driven by advances in parallel computing capacity. More and more developments, applications and programs are using these algorithms to provide systems with greater security, intelligence and independence. However, it’s rarely used in industrial environments, although some recent tests and developments prove its effectiveness, including in the scope of detection and prediction of cyber attacks.
Weaknesses in TCP protocol implementation in middleboxes could provide a means to carry out distributed reflection denial-of-service (DrDoS) attacks against any target.
It is necessary to protect the main business processes through a set of tasks that allow the organisation to recover from a major incident in a timeframe that does not compromise the continuity of its services. This ensures a planned response to any security breach.
With the aim of increasing cybersecurity knowledge, INCIBE-CERT has published a series of webinars in video format, so that, in a light and entertaining way, knowledge and technical aspects of cybersecurity can be expanded in various areas of interest, for both INCIBE-CERT's technical audience and anyone interested in cybersecurity.