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Leaked Exploit Kits Threaten Millions Of Apple Devices Worldwide

Security researchers identified leaked exploit kits targeting Apple devices, including iPhones and iPads. Tools, known as Coruna and DarkSword, were previously used in government-linked operations. Exposure of the code increases risks for devices running older versions of iOS. Researchers said vulnerabilities affect a wide range of software versions.

Unprecedented Threat To Apple Users

Leak expands the scope of attacks beyond targeted campaigns. Earlier incidents focused on specific groups, including users in China and Hong Kong. Current exposure makes the tools accessible to a broader set of actors. Risk now extends to general users with unpatched devices.

Anatomy Of Coruna And DarkSword

Coruna targets devices running iOS 13 through iOS 17.2.1. DarkSword affects more recent versions, including iOS 18.4 and 18.7. Parts of the DarkSword code are publicly available online. Availability lowers the barrier to deploying attacks.

Methodology Of The Attacks

Exploits rely on multiple vulnerabilities within iOS. Attacks often begin when users access compromised websites. Once a device is compromised, attackers can access data such as messages, location and browsing activity. Information may be transferred to external servers.

Origins And Proliferation Of The Tools

Investigations link parts of Coruna to Trenchant, a unit within L3Harris that developed exploit capabilities for government use. Some elements were previously associated with Operation Triangulation. Leak shows how state-developed tools can circulate beyond their original context. Distribution increases exposure across different threat environments.

The Leak And Its Implications

Recent tests conducted by independent researchers have demonstrated that the DarkSword kit, now effectively a plug-and-play instrument for cybercriminals, can exploit older versions of iOS with ease. Despite GitHub’s stance on preserving code for educational and security research purposes, the availability of such a potent tool heightens the risk of widespread data breaches. Experts compare this situation to the infamous WannaCry ransomware attack, which exploited a leaked NSA tool to cause global disruption in 2017.

Mitigation And Protection Strategies

Apple recommends updating devices to the latest software versions. Updated systems include protections against known vulnerabilities. Users can also enable Lockdown Mode for additional security. The feature is designed for high-risk scenarios but is available to all users.

Maintaining A Secure Digital Environment

Users are advised to apply software updates and monitor device security settings. Risks remain higher for outdated systems. Security depends on timely updates and awareness of potential threats.

Meta Unveils Muse Wonder Models In A Bid For Frontier AI Leadership

Meta has introduced two new AI models, Muse Wonder and Muse Wonder Full, signalling a more ambitious move into frontier AI. The releases build on Muse Spark but target more demanding tasks, including coding, while placing greater emphasis on long-term memory and personalised assistance.

Larger Models Target More Demanding Tasks

Unlike Muse Spark, which was designed for low latency and lightweight use, Muse Wonder and Wonder Full are significantly larger and, according to Meta, more capable. The company reports stronger benchmark performance and improvements on demanding workloads, including coding.

According to Meta’s model card, both models achieved benchmark results comparable to Fable 5.1 and GPT-6 Astra in the company’s internal testing. Meta described the release as “the next step on our scaling ladder and a major leap toward personal superintelligence” in its announcement.

Pricing Reflects Meta’s Frontier Ambitions

The models’ pricing places them in the premium AI segment. Through the Meta Model API, Muse Wonder will cost $4 per million input tokens and $20 per million output tokens, putting it in a similar pricing tier to GPT-6 Sol and Opus 5.5.

Muse Wonder Full, by contrast, will not be offered through the API. Meta says it will be exclusive to Muse Code subscribers, tying access to its most advanced model to a premium product. Both models will also power the Muse agent.

Long-Term Memory Takes Centre Stage

Meta is increasingly positioning its AI strategy around assistants that can support users over time rather than respond only to individual prompts. A central part of that approach is what the company calls “active memory”: the ability to retain, organise and synthesise information provided by users across extended periods.

Meta points to the MemoryBench benchmark, which evaluates systems designed for continual learning and memory construction. The company says Muse Wonder now outperforms Fable, Opus and Astra on this measure.

“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” research scientist Kavya Kopparapu said in a launch video.

New Models Follow Meta’s AI Reorganisation

The launch is also significant within Meta’s broader AI strategy. It is the company’s first frontier-model release since Scale AI founder Alexandr Wang reorganised its AI operations in August 2025. Meta has since introduced Muse Spark and the Muse agent, while making fewer high-profile model announcements than competitors such as OpenAI and Anthropic.

The new models were trained at Meta’s Prometheus data centre in central Ohio, which came online earlier in 2026, according to the company. The facility highlights the growing importance of infrastructure in the race to develop advanced AI systems, where performance depends not only on algorithms and data but also on computing capacity, data-centre investment and access to capital.

As competition intensifies, Muse Wonder and Wonder Full represent a broader bet on larger models, persistent memory and premium AI products. Their longer-term significance will depend on how their reported capabilities translate into real-world performance and whether users find enough value to pay for access.

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