Apple M1 Processor | Breaking Cybersecurity News | The Hacker News

A novel hardware attack dubbed  PACMAN  has been demonstrated against Apple's M1 processor chipsets, potentially arming a malicious actor with the capability to gain arbitrary code execution on macOS systems. It leverages "speculative execution attacks to bypass an important memory protection mechanism, ARM Pointer Authentication, a security feature that is used to enforce pointer integrity," MIT researchers Joseph Ravichandran, Weon Taek Na, Jay Lang, and Mengjia Yan  said  in a new paper. What's more concerning is that "while the hardware mechanisms used by PACMAN cannot be patched with software features, memory corruption bugs can be," the researchers added. The vulnerability is rooted in pointer authentication codes ( PACs ), a line of defense introduced in arm64e architecture that aims to detect and secure against unexpected changes to  pointers  — objects that reference an address location in memory. PACs aim to solve a common problem in software...

Days after the  first malware  targeting Apple M1 chips was discovered in the wild, researchers have disclosed yet another previously undetected piece of malicious software that was found in about 30,000 Macs running Intel x86_64 and the iPhone maker's M1 processors. However, the ultimate goal of the operation remains something of a conundrum, what with the lack of a next-stage or final payload leaving researchers unsure of its distribution timeline and whether the threat is just under active development. Calling the malware "Silver Sparrow," cybersecurity firm Red Canary said it identified two different versions of the malware — one compiled only for Intel x86_64 and uploaded to VirusTotal on August 31, 2020 ( version 1 ), and a second variant submitted to the database on January 22 that's compatible with both Intel x86_64 and M1 ARM64 architectures ( version 2 ). Adding to the mystery, the x86_64 binary, upon execution, simply displays the message "Hello, ...

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...