Apple Airtag | Breaking Cybersecurity News | The Hacker News

Apple and Google have  teamed up  to work on a  draft industry-wide specification  that's designed to tackle safety risks and alert users when they are being tracked without their knowledge or permission using devices like AirTags. "The first-of-its-kind specification will allow Bluetooth location-tracking devices to be compatible with unauthorized tracking detection and alerts across Android and iOS platforms," the companies said in a joint statement. While these trackers are primarily designed to keep tabs on personal belongings like keys, wallets, luggage, and other items, such devices have also been abused by bad actors for  criminal or nefarious purposes , including instances of  stalking, harassment, and theft . The goal is to standardize the alerting mechanisms and minimize opportunities for misuse across Bluetooth location-tracking devices from different vendors. To that end, Samsung, Tile, Chipolo, eufy Security, and Pebblebee have all come on board. In doi

Cybersecurity researchers have managed to build a clone of Apple Airtag that circumvents the anti-stalking protection technology built into its Find My Bluetooth-based tracking protocol. The result is a stealth AirTag that can successfully track an iPhone user for over five days without triggering a tracking notification, Positive Security's co-founder Fabian Bräunlein  said  in a deep-dive published last week. Find My is Apple's asset tracking app that allows users to track the GPS location of iOS, iPadOS, macOS, watchOS devices, AirPods, AirTags as well as other supported third-party accessories through a connected iCloud account. It also enables users to view the location of others who have opted to share their location. This is far from the first time weaknesses have been uncovered in Apple's Find My system. In March 2021, the Secure Mobile Networking Lab at the Technical University of Darmstadt, Germany (SEEMO)  disclosed  design and implementation flaws in the pr

Identities now transcend human boundaries. Within each line of code and every API call lies a non-human identity. These entities act as programmatic access keys, enabling authentication and facilitating interactions among systems and services, which are essential for every API call, database query, or storage account access. As we depend on multi-factor authentication and passwords to safeguard human identities, a pressing question arises: How do we guarantee the security and integrity of these non-human counterparts? How do we authenticate, authorize, and regulate access for entities devoid of life but crucial for the functioning of critical systems? Let's break it down. The challenge Imagine a cloud-native application as a bustling metropolis of tiny neighborhoods known as microservices, all neatly packed into containers. These microservices function akin to diligent worker bees, each diligently performing its designated task, be it processing data, verifying credentials, or