![]() We need to use intelligence to thwart these attacks. In this case, machine intelligence. We're also seeing a rapid increase in attacks against component elements of the system – Check Point claims 51% of enterprises have seen attacks launched against their cloud backup systems, proving that if an attacker can’t hack your iPhone or Mac, they might try to subvert your cloud storage service instead. These increasingly sophisticated attacks leave little trace and are very difficult to detect using traditional permiter protections. Many don’t work well, some don’t work at all, but a few work a little – though most of these rely on a user downloading and installing code rather than traditional virus/malware attack trajectories. There are Mac malware “kits” available for sale on the dark web for just a few dollars. ![]() Just because running a virus check application didn't spot anything on your device, it doesn’t necessarily mean you’re safe. The best defenses against such attacks include a combination of traditional permiter defenses, as well as Apple’s built-in anti-phishing tools.Įxisting security protections are being bypassed by highly sophisticated exploits, some of which may have been designed to be used once and never used again. They may not even be aware of the code used in an attack – which means they won’t spot it.Īttackers are also finding ways to subvert things such as Wi-Fi routers and poorly secured connected home/office systems to penetrate networks. The complexity of such attacks makes it very difficult for existing anti-virus or anti-malware protections. There have even been attempts to subvert device security before products leave the factory.Ī hacker may have designed a one-off piece of malware, most likely in a standard programming language, that has only one function – to subvert security in a computer and download a more malware-infested package in the background – or to gather user data for a couple of weeks before sending it back to its command-and-control server in the middle of the night when no one is watching. These attacks appear frequently, are fixed and then refined. These have interesting names – Roaming Mantis, for example, offered payloads that worked differently on different platforms – phishing for iOS and DNS-hijacking on Android. They seek out vulnerabilities on a component level, and they engage in highly sophisticated phishing attacks that encourage people to click links that download malware to their machines. The important thing about ZombieLoad is that it shows how as platforms become more secure, attackers are exploring far more sophisticated ways to exploit devices. Apple's approach dramatically improves system performance and is part of the reason Macs with M1 and M2 chips are so fast while consuming so little power.Traditional computer security models have relied on perimeter protection – things like firewalls, virus checkers, and malware detection.īut those defenses aren’t robust enough to tackle or spot a threat like ZombieLoad. On most computers, the GPU uses its own RAM (or "video memory"), and data is constantly copied between the CPU's memory and the GPU's memory. Related: How "Unified Memory" Speeds Up Apple's M1 ARM MacsĪpple Silicon uses a Unified Memory Architecture, or UMA for short, where physical memory is shared across the CPU, GPU, Neural Engine, and other components. It works more like the chips in most modern smartphones than the CPUs in most other PCs. Apple Silicon is a System-on-a-Chip (SoC) design, with nearly all the computer's components in a single chip - including the CPU, GPU, storage, and RAM. If macOS handles memory more or less like other desktop operating systems, why don't you need as much RAM for the same tasks? The answer is Apple Silicon.Īpple started switching its Mac lineup away from Intel CPUs in 2020, moving them towards custom-made Apple Silicon chips like the M1 and M2.
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