Threat actors are using Scalable Vector Graphic (SVG) image files to hide malware and avoid detection. In January, researchers at Cofense Intelligence discovered a two-month campaign involving the use of SVG files to distribute Agent Tesla Keylogger and XWorm RAT malware. The SVG file format uses mathematical equations to describe images, allowing them to be scaled without losing image quality and making them suitable for various design applications.

A new BlackBerry report reveals a significant increase in attacks on the global financial sector, with 1 million attacks recorded in just 120 days. According to BlackBerry's current Global Threat Intelligence Report, attacks on the global financial sector were primarily launched using commodity malware. The use of such malware suggests that many independent threat actors are targeting the industry for financial gain.

SAFECOM and the National Council of Statewide Interoperability Coordinators (NCSWIC) have announced the launch of the 911 Cybersecurity Resource Hub where Emergency Communications Centers (ECCs) can report cyber incidents, find real-world case studies, access cybersecurity education and training opportunities, and learn best practices regarding identifying and protecting networks from cyberattacks.

Subscriber Identity Module (SIM) swappers have changed their attacks to steal a target's phone number by porting it to a new Embedded SIM (eSIM) card, which is a digital SIM in a rewritable chip found in many modern smartphones. An eSIM is a digital card stored on the chip of a mobile device that performs the same functions as physical SIM cards but can be remotely reprogrammed and provisioned, as well as deactivated, swapped, and deleted.

Researchers from Google DeepMind, Open AI, ETH Zurich, McGill University, and the University of Washington have developed a new attack that extracts key architectural information from proprietary Large Language Models (LLMs) such as ChatGPT and Google PaLM-2. The study shows how adversaries can extract supposedly hidden data from an LLM-enabled chatbot, allowing them to duplicate or steal its functionality. The attack is one of several highlighted in the past year that have delved into the security flaws of Artificial Intelligence (AI) technologies.

According to Claroty, healthcare networks have been found to contain 63 percent of the Known Exploited Vulnerabilities (KEVs) tracked by the US Cybersecurity and Infrastructure Security Agency (CISA). Twenty-three percent of medical devices, including imaging devices, clinical Internet of Things (IoT) devices, and surgery devices, have at least one KEV.

France’s Employment Agency recently suffered a data breach that could affect users who registered over the past 20 years, representing 43 million potential users’ data exposed.  France Travail, the French national employment agency, announced on March 13, 2024, that its IT systems and those of Cap Emploi, a government employment service that supports people with disabilities, were breached.