XLoader | Breaking Cybersecurity News | The Hacker News

A new variant of an  Apple macOS malware  called  XLoader  has surfaced in the wild, masquerading its malicious features under the guise of an office productivity app called "OfficeNote." "The new version of XLoader is bundled inside a standard Apple disk image with the name OfficeNote.dmg," SentinelOne security researchers Dinesh Devadoss and Phil Stokes  said  in a Monday analysis. "The application contained within is signed with the developer signature MAIT JAKHU (54YDV8NU9C)." XLoader , first detected in 2020, is  considered  a successor to Formbook and is an information stealer and keylogger offered under the malware-as-a-service (MaaS) model. A macOS variant of the malware emerged in July 2021, distributed as a Java program in the form of a compiled .JAR file. "Such files require the Java Runtime Environment, and for that reason the malicious .jar file will not execute on a macOS install out of the box, since Apple stopped shipping JRE ...

An enhanced version of the XLoader malware has been spotted adopting a probability-based approach to camouflage its command-and-control (C&C) infrastructure, according to the latest research. "Now it is significantly harder to separate the wheat from the chaff and discover the real C&C servers among thousands of legitimate domains used by Xloader as a smokescreen," Israeli cybersecurity company Check Point  said . First spotted in the wild in October 2020, XLoader is a successor to Formbook and a  cross-platform information stealer  that's capable of plundering credentials from web browsers, capturing keystrokes and screenshots, and executing arbitrary commands and payloads. More recently, the  ongoing geopolitical conflict  between Russia and Ukraine has proved to be a lucrative fodder for  distributing XLoader  by means of  phishing emails  aimed at high-ranking government officials in Ukraine. The latest findings from Check P...

As SaaS providers race to integrate AI into their product offerings to stay competitive and relevant, a new challenge has emerged in the world of AI: shadow AI.  Shadow AI refers to the unauthorized use of AI tools and copilots at organizations. For example, a developer using ChatGPT to assist with writing code, a salesperson downloading an AI-powered meeting transcription tool, or a customer support person using Agentic AI to automate tasks – without going through the proper channels. When these tools are used without IT or the Security team's knowledge, they often lack sufficient security controls, putting company data at risk. Shadow AI Detection Challenges Because shadow AI tools often embed themselves in approved business applications via AI assistants, copilots, and agents they are even more tricky to discover than traditional shadow IT. While traditional shadow apps can be identified through network monitoring methodologies that scan for unauthorized connections based on...