Security News
Your profile can be used to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests. Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services, possible interests and personal aspects.
Apple sent a threat notification to iPhone users in 92 countries on April 10 informing them that their device was "Being targeted by a mercenary spyware attack." The alert, sent at 12:00 p.m. Pacific Time, told recipients that the attackers were attempting to "Remotely compromise" their phone and that they were likely being targeted specifically "Because of who you are or what you do." Apple's notification did not identify the alleged attackers, nor did it specify the locations of its recipients. iPhone users who have received the mercenary spyware attack alert should enlist expert cybersecurity help, Apple stated on its dedicated support page.
Your profile can be used to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests. Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services, possible interests and personal aspects.
Apple has been notifying iPhone users in 92 countries about a "Mercenary spyware attack" attempting to remotely compromise their device. "Apple detected that you are being targeted by a mercenary spyware attack that is trying to remotely compromise the iPhone associated with your Apple ID -xxx-," reads the notification.
Apple on Wednesday revised its documentation pertaining to its mercenary spyware threat notification system to mention that it alerts users when they may have been individually targeted by such...
Your profile can be used to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests. Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services, possible interests and personal aspects.
Your profile can be used to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests. Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services, possible interests and personal aspects.
The threat resides in the chips' data memory-dependent prefetcher, a hardware optimization that predicts the memory addresses of data that running code is likely to access in the near future. The breakthrough of the new research is that it exposes a previously overlooked behavior of DMPs in Apple silicon: Sometimes they confuse memory content, such as key material, with the pointer value that is used to load other data.
Your profile can be used to present content that appears more relevant based on your possible interests, such as by adapting the order in which content is shown to you, so that it is even easier for you to find content that matches your interests. Content presented to you on this service can be based on your content personalisation profiles, which can reflect your activity on this or other services, possible interests and personal aspects.
The newly exposed GoFetch vulnerability affecting Apple's M1, M2 and M3 chips lets an attacker exfiltrate secret keys from cryptographic applications on a targeted system. DMPs - in contrast to classical prefetchers that only store the memory access pattern - "Also take into account the contents of data memory directly to determine what to prefetch," as written in the publication from Boru Chen, Yingchen Wang, Pradyumna Shome, Christopher W. Fletcher, David Kohlbrenner, Riccardo Paccagnella and Daniel Genkin that reveals all of the details about the GoFetch vulnerability.