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2020-03-22 00:00:00 | Comment l'IoT industriel pourrait déclencher le prochain cyber-catastrophieffect d'urgence / 11 sur l'industrie manufacturière américaine révèle 7 milliards de dollars pour les eaux autres How Industrial IoT could Trigger the Next Cyber CatastropheEffect of URGENT/11 on the US Manufacturing Industry Reveals $7 Billion ExposureRead More (lien direct) |
IntroductionOn 29th July 2019, the cyber security firm Armis announced that it had found eleven different vulnerabilities in the operating system âVXworksâ which they believe exposed around 200 million critical devices. The team at Armis dubbed this group of vulnerabilities: URGENT/11. This report explores how the discovery of URGENT/11 demonstrates the susceptibility of global manufacturing businesses to large losses from a cyber-attack event and the potential impact on commercial P&C (re)insurers.âThe Operating System at the Heart of the IssueVxWorks is a widely used, but lesser known, lightweight IoT real-time operating system (RTOS). This operating system is embedded in over 2 billion devices in the US and worldwide. These range from large-scale industrial machinery controlling installations such as nuclear power stations and oil production platforms, to smaller systems throughout the worldâs automotive, aviation, agri-business, textile, logistics and pharmaceutical facilities. A malicious attack could affect what is known as the SupervisoryControl and Data Acquisition (SCADA), the system that allows industrial organizations to gather and monitor real-time data in their manufacturing and distribution systems. Critically, VxWorks is also part of what are known as Industrial Control Systems (ICS) â software that manages the industrial processes themselves.âNot a Quick FixAs with any type of software vulnerability, affected organizations need to patch vulnerabilities quickly. However, in the case of URGENT/11, the necessary patches can be very expensive to apply immediately, because the affected devices are critical to day-to-day operations. Patching a vulnerability requires stopping or interrupting the device, which could lead to significant business disruption. Furthermore, while very large organizations have the financial and technical resources to implement system patches quickly, smaller manufacturers â who may nevertheless be critical to the supply chain â often do not. They may buy equipment that happens to contain VxWorks, but do not expect to have to maintain the software or even be aware of its existence.âQuantifying URGENT/11âs Potential Loss Scenarios for the US Manufacturing IndustryTo understand the extent of companies that were vulnerable to URGENT/11, their susceptibility to being attacked, and the effect an attack might have industry wide, Kovrr deployed its proprietary technologies. The first step was to gather real-time information about the distribution of VxWorks in the US manufacturing sector. To achieve this, Kovrr leveraged its ability to continuously collect relevant business intelligence, cyber threat intelligence, external and internal security data. As a result, we were able to identify companies with devices that were utilizing the VxWorks operating system. For internal mapping, access to multiple security vendors\' data is essential because each vendor has its own expertise and distribution, in terms of geolocation, served industries, defense level focus, mapped devices, etc. In the case below involving an industrial sector, unique data focused on IoT devices is needed. Kovrr partners with a diverse range of data providers to detect and map beyond the firewall devices and security control mechanisms. By having access to Armis\' proprietary IoT fingerprinting technology, we were able to produce a highly granular map of any IoT device being used by one organization.We can then accurately assess any IoT related emerging vulnerability on clients\' portfolios. In order to understand the nature of these businesses, including their sector, size and place in the supply chain; we use publicly available information linked to a variety of proprietary data-sources including our own. This technique is similar in principle to the exposure-data cleansing and augmentation used by catastrophe modelers. Having developed a sophisticated view of the affected businesses, we have selected a series of events fro | Threat Ransomware Prediction Industrial Vulnerability | ★★★★ |
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