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US Health Dept warns of Royal Ransomware targeting healthcare

A new alert from HHS warns hospitals and other healthcare facilities across the United States to be on the lookout for attacks by the Royal ransomware gang, which is relatively new to the scene. Months after being discovered in January 2022, Royal operators have rapidly increased their malevolent actions as of September 2022. Royal is a ransomware group notorious for systematically compromising U.S. hospitals and other healthcare facilities. At first, they used encryptors developed by other groups, such BlackCat. However, they rapidly began developing their own encryptors, the first of which was called Zeon and produced ransom notes similar to those used by the Conti group. Following successful callback phishing assaults, the organization employs social engineering to get corporate victims to download and run remote access software. The gang frequently sends journalists compromising data via hacked Twitter accounts. Following infection, it encrypts the targets’ enterprise-level systems and demands ransom payments of $250,000 to $2 million. Other ransomware operations known to actively target healthcare companies across the United States have also been warned about by the federal government. For instance, HHS issued a warning about the impact of Venus ransomware on U.S. healthcare last month, and at least one organization has since been identified as a victim. Source: bleepingcomputer 🔥 Trending Stories 14 Tech Leaders Offer Their Best Pieces of Advice to New Entrepreneurs Ultimate Guide For Hiring On-demand Developers For Your Startup Top 25 Digital Transformation Influencers You Need to Follow

Data-driven Preventive Healthcare – Payers

Find out how an insurance agency developed AI-powered FHIR compliant application to predict healthcare events of using big data​ improving risk assessments and health outcomes

Digital Calculator for Medical Professionals

Find out how a pharmaceuticals manufacturer developed a Digital Calculator mobile application that enables physicians to estimate the correct dosage of injectable emulsion based on patient data

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