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New Malware Could Mean Trouble For iOS & macOS Security
Security researchers discovered an attack vector that, if exploited, would allow hackers to access messages, photos, and more.
Although Apple’s products are renowned for their robust security, no company is completely immune to hackers and malware. New research has recently revealed an attack vector that can affect Apple’s iPhone and Mac operating systems, allowing criminals to sweep messages, photos, and call history for exploitable data and — even more worryingly — access location data, photos, and the main camera.
The research comes from security firm Trellix, which says that the security flaws rank as “medium to high severity” and bypass the protections Apple puts in place to protect its users.
“The key thing here is the vulnerabilities break Apple’s security model at a fundamental level,” notes Doug McKee, director of vulnerability research at Trellix. McKee thinks his company’s findings could potentially lead to similar bugs being uncovered. However, it’s important to point out that Apple has so far plugged all of the security holes found by Trellix, and there’s no evidence they were ever exploited.
Trellix’s findings build on previous work by Google and Citizen Lab, who jointly discovered malware known as “ForcedEntry”, a zero-click, zero-day iOS exploit linked to Israeli spyware maker NSO Group and found initially on the iPhone of a Saudi activist.
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Analysis of ForcedEntry showed that it worked by fooling an iPhone into opening a malicious PDF disguised as a GIF, ultimately bypassing Apple’s sandbox — a protocol that keeps apps from accessing the data stored by other programs and areas of the device.
While Trellix’s findings are worrisome, it’s important to remember that attackers would need to gain a foothold into a device before being able to install any malware, and Apple has been very efficient at issuing security updates. The initial findings relate to macOS 13.2 and iOS 16.3, which were released in January, so it’s vital that readers ensure their devices are fully up to date!
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UAE-Built Falcon-H1 Arabic Leads LLM Benchmarks
The lean Emirati-built language model beats larger global systems and puts Arabic at the center of training.
Abu Dhabi’s Technology Innovation Institute has released an Arabic-first large language model that tops global test boards, an uncommon edge for a region long served by English-centric systems.
Falcon-H1 Arabic comes in 3B, 7B and 34B versions. The flagship posts 75.36% accuracy on comprehensive Arabic tasks and ranks first on the Open Arabic LLM Leaderboard. It also outperforms Meta’s Llama-70B and Alibaba’s Qwen-72B while using less than half their parameters. The smallest model beats Microsoft’s Phi-4 Mini by ten percentage points on equivalent benchmarks.
Arabic remains hard territory for AI. Flexible word order, dense morphology and constant switching between regional dialects and Modern Standard Arabic leave many global models missing context or tone. Academic research has pointed to a shortage of annotated datasets for dialect and informal speech. The impact shows up in classrooms, call centers and government portals where Arabic chatbots lag their English counterparts.
TII trained Falcon-H1 Arabic on formal writing, dialects and culturally grounded content. Beyond scores, it handles practical use: long conversations, reasoning rather than literal translation, and inputs of up to 192,000 words — enough for medical records or legal filings.
“The aim is innovation that is accessible, relevant, and impactful,” said Faisal Al Bannai, Adviser to the UAE President and Secretary-General of the Advanced Technology Research Council.
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Arabic is spoken by more than 450 million people across over 20 countries, yet has often been treated as a secondary language for foundation models. The UAE move signals a push to flip that logic and build Arabic-native stacks rather than wait for global systems to improve.
Falcon models have led their categories since 2023. With H1 Arabic, TII is offering free access via chat.falconllm.tii.ae for developers, media, healthcare and public-sector users looking to automate in natural Arabic.
As the region continues to invest in sovereign computing and data localization, the addition of Falcon-H1 Arabic adds a powerful tool built for the native language, instead of an afterthought attached to an English-trained system.
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