Researchers have discovered a new iOS exploit, dubbed "DarkSword", that was used to steal saved passwords, data from cryptocurrency apps and more. Fortunately, you may be able to avoid it.

DarkSword targets iPhones that are running older versions of iOS, specifically iOS 18.4 through iOS 18.7. Apparently, it's been leaked to multiple malicious actors.

The exploit was discovered by researchers at Lookout, a mobile security company, who were investigating a previous "Coruna" attack. Their findings were verified by a collaboration between Google's Threat Intelligence Group and iVerify, which created a more comprehensive analysis of this threat.

In total, DarkSword uses six vulnerabilities tracked as: CVE-2025-31277, CVE-2025-43529, CVE-2026-20700, CVE-2025-14174, CVE-2025-43510, and CVE-2025-43520. It's been actively used since November 2025 by multiple bad actors who deployed it as as three separate malware "GHOST" families.

Ghostblade is a dataminer that stole a gamut of information from crypto data to browser history, photos and emails. Ghostknife was used to get into signed-in accounts, messages and location history. While Ghostsaber was used to execute code and steal data.

"This malware is highly sophisticated and appears to be a professionally designed platform enabling rapid development of modules through access to a high level programming language," Lookout says. "This extra step shows a significant effort put into the development of this malware with thoughts about maintainability, long-term development and extensibility."

"This malware is highly sophisticated and appears to be a professionally designed platform enabling rapid development of modules.

Lookout researchers"

The attacks had a global impact hitting iPhone owners in Saudia Arabia, Ukraine and Malaysia according to the reports. The exploit was delivered through a Sandbox exploit using compromised websites, though it's not clear how the sites themselves were compromised.

To stay safe, very simply, update your iPhone.

If your device is capable of running iOS 26.3.1 (the most recent iOS update), you should upgrade to that version. If not, see if you can at least update to iOS 18.7.6, which appears to be safe according to iVerify.

iVerify's research suggests that only iOS 18.7 and iOS 26.3 versions are safe, which means even earlier versions of iOS 26 might be exploitable.

An Apple spokesperson reached out to clarify that the latest versions of iOS 15 through iOS 26 are safe. However, if you're still on iOS 13 or 14, you need to update to iOS 15 to receive protections. They added that iPhone 17 owners are safe thanks to the new Memory Integrity Enforcement feature, an always-on memory-safety protection that helps block spyware.

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Looks like Huawei might be edging ahead in the triple-fold race. While the Huawei Mate XT Ultimate Design managed a broader rollout, Samsung’s attempt may already be nearing the exit. This was suggested by a new report that says Samsung Electronics could end sales of the Samsung Galaxy Z TriFold in South Korea just months after launch.

According to a report from Dong-A Ilbo, Samsung plans to stop selling the device in its home market on 17 March. The phone debuted there roughly four months ago.

In the United States, the situation appears slightly different. The report states the TriFold will remain available until "the current production volume is sold out."

That suggests US buyers may still see limited restocks. However, inventory may vanish quickly.

Samsung priced the futuristic foldable at about US$ 2,899. The device introduced a new triple-folding design to the smartphone market.

Despite strong interest, Samsung never intended the TriFold for mass production.

Samsung released the TriFold in small batches through its website. Each restock sold out within minutes.

Reports suggest the company shipped extremely limited quantities. Industry estimates place the first two batches at roughly 3,000 units each.

Samsung also avoided traditional marketing for the device. The company did not send review units to major publications.

That approach reinforced the device’s experimental nature. Analysts believe Samsung treated the TriFold more as a technology showcase.

Sources speaking to Dong-A Ilbo described the strategy clearly. They said the phone existed primarily to demonstrate engineering capabilities.

The report suggests Samsung wanted to test real-world demand for triple-folding designs. Allowing consumers to buy the device created practical feedback.

Even with limited production, the Samsung Galaxy Z TriFold attracted strong interest from early adopters. Each restock disappeared within minutes.

Demand spilled into the resale market. In South Korea, some units reportedly sold for nearly three times the retail price.

That frenzy highlighted the device’s rarity.

Despite its premium price, the TriFold appears difficult to produce profitably.

Industry sources cited "high production costs" as a major issue. Expensive components leave little room for margins.

Memory pricing also adds pressure. Rising costs for DRAM and NAND flash have tightened profitability further.

The TriFold’s complex hinge system likely increases manufacturing challenges. Triple-fold displays require additional materials and precise engineering.

That complexity drives up production expenses. Lower manufacturing volumes also raise costs per device.

For Samsung, the TriFold likely served a different purpose. The device allowed engineers to explore new foldable hardware concepts.

The company could study durability, user behavior, and software optimization for multi-fold displays.

Those lessons may influence future products. Samsung continues to dominate the foldable market with devices like the Samsung Galaxy Z Fold series and Samsung Galaxy Z Flip series.

Still, the TriFold experiment may have a short lifespan.

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The rumors have swirled for years that Apple has been toiling away on a foldable iPhone, nicknamed the iPhone Fold. Those drips of intel have accelerated over the last year, with numerous leaks suggesting that the device could actually be released in 2026.

The latest rumor comes from leaker Sonny Dickson, who whipped up 3D CAD renders of a potential iPhone Fold design that depicted a squat, wide layout similar to the Google Pixel Fold and different from the tall, thin Samsung Galaxy Z Fold 7.

Design leaks have been scarce, driving curiosity about how Apple's foldable will look. Recently, an Apple fan made a 3D-printed mock-up for an Apple book-style foldable's possible design, looking more like a Microsoft Surface Duo merged with an iPhone 17 Pro than the Galaxy Z Fold 7 or Pixel 10 Pro Fold.

In other words, a vision of two separate iPhone screens linked together rather than a continuous, folding display. Given the lack of consensus on layout, any of these designs could end up being correct.

Separate displays are an interesting proposition, considering rumors have spoken of Apple's efforts to reduce the seam where a foldable screen bends. The one on the iPhone Fold is rumored to have little or no crease, according to a recent report by the Chinese publication UDN. Screen creases, especially on early foldable phones, have long annoyed some consumers and critics. And while the crease on more recent foldables looks a lot less deep, it's still there.

Samsung's new Galaxy Z TriFold has two screen creases, one for each of its hinges. It would be a major breakthrough if Apple has indeed found a way to fold a screen in half without leaving a crease.

Foldable phones represent a tiny fraction of all phones sold globally. CNET found that 64 percent of people surveyed said they don't want a foldable phone. But those numbers could change if Apple were to sell a foldable iPhone. Analysts at IDC forecast a 30 percent year-over-year growth if Apple were to launch a foldable iPhone in 2026.

Apple launched the iPhone 17 series along with the new super-thin iPhone Air in September. Given all the engineering it took to cram cameras and components into the top half of the Air, some have theorized that the device is a stepping stone to a foldable, which could take advantage of the Air's internal design.

A lot of hope and expectation has been placed on Apple to release one, and if rumors are correct, we won't have to wait much longer for the company to do so.

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As they try to fulfill their long-overdue wish of tech enthusiasts, Apple is reportedly gearing up to launch its AI glasses in 2026. With tech giants like Meta and Google also entering the smart wearables market, Apple’s entry has triggered excitement among users and analysts alike. Speculation over the tech company giving Meta’s Ray-Ban glasses a run for their money is generating buzz across social media.

Apple is set to challenge competitors Meta and Google. They are preparing to launch their AI-powered smart glasses in 2026. The glasses are to feature an in-built Siri equipped to perform tasks like making phone calls, navigation, and music control.

As per 9to5Mac, citing sources, Apple’s highly anticipated smart glasses are set to make their debut in 2026.

However, its launch window could stretch into 2027. These AI glasses, armed with cutting-edge technology, allegedly boast an array of innovative features. With a built-in camera and intuitive voice control via Siri, users are in for a game-changing experience.

Moreover, health-tracking features can be utilised for monitoring biometrics and tracking fitness activities. The rumored seamless integration with iPhones promises enhanced functionality.

9to5Mac hints that the Apple Glasses’ features will scream innovation. The Apple AI Glasses come with an Apple Watch S-class chip, boosting power efficiency and enabling advanced visual features. This chip will enable multiple cameras to spring to life, unlocking features that rival the iPhone’s prowess.

The initial Apple Glasses model is rumored to skip the display feature, prioritizing core AI-powered functionalities instead. Meanwhile, the premium variant is in the works, promising a display that will take the wearable experience to new heights. As per reports, the Apple AI glasses will be available in multiple frame styles and color options, giving users more choice in design and personalization. They might also come with prescription lenses, making them accessible to users who require vision correction.

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Apple recently released iOS 26.2, which introduces several new abilities to current iPhones.

Admittedly, the description for the updated firmware is vague. Apple explains that it "includes enhancements to Apple Music, Podcasts, and Games, as well as other features, bug fixes, and security updates for your iPhone."

However, there’s quite a bit more going on here. Notably, the firmware gives users more freedom to tweak and customize Liquid Glass settings, as well as adds alarms to the Reminders app.

There’s also a new Accessibility setting that makes it easier to tell when the user have received a notification.

Many probably didn’t know it, but the iPhone has long had an Accessibility setting called "Flash for Alerts" buried in the Settings app. When enabled, the rear camera’s flash turns on when the user receive a notification.

With iOS 26.2, Apple has added a new option within Flash for Alerts that lets user's iPhone front screen flash as well, giving them more ways to know when they have received a notification.

To enable:

1. Open the Settings app on your iPhone.
2. Select Accessibility (beneath General).
3. Select Audio & Visual (in the Hearing section).
4. Scroll to the bottom and select Flash for Alerts.
5. Toggle Flash for Alerts on, and select the new Screen option.

Once there, users can simply toggle on Flash for Alerts and select the new Screen option. Or they can select Both, in which case their iPhone’s rear camera flash and front display will light up when a notification arrives.

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Christopher McFadden of Interesting Engineering reported that researchers from Wuhan University have recently developed a new framework that could help robots manipulate objects more easily. Introduced in a new paper on arXiv, this approach should enable humanoid robots to grasp and handle a greater variety of objects than is currently possible.

At present, humanoid robots are great at tasks like using tools, grasping, and walking, but they suffer from inherent limitations. In most cases, they can fail tasks when an object changes shape or when lighting changes.

They can also struggle completing tasks the robot hasn’t been specifically trained to do. It is this lack of generalization that is widely seen as one of the technology’s major limitations.

To help overcome this, the Wuhan team set out to develop what it calls the recurrent geometric-prior multimodal policy, RGMP for short. This framework is designed to help humanoid robots have a kind of in-built common sense about things like shapes and space.

It also provides robots with a means to better select required skills for a task, and a more data-efficient way to learn movement patterns.

The goal of it, ultimately, is to help robots pick the right action and adapt in new environments with far less training data than before. According to the team, RGMP consists of two main key parts.

The first is called the Geometric-Prior Skill Selector (GSS), which helps the robot decide which of its "tools" and skills is best suited to a task. Using things like its cameras, the robot can use GSS to work out an object’s shape, size, and orientation.

With this information in hand (so to speak), the robot can then work out what needs to be done to complete a given task (i.e, pick up, push, grip, hold with two hands, etc.).

The second is called Adaptive Recursive Gaussian Network (ARGN). Once the robot picks a skill, the ARGN helps the robot actually perform the task. It achieves this by modelling spatial relationships between the robot and the object.

It can also help predict movements step-by-step, and is extremely data-efficient (needs far fewer training examples than typical deep learning methods).

This combination of ARGN and GSS helps robots better complete tasks without needing thousands of demonstrations and training. In testing, robots using the framework were able to achieve an impressive 87 percent success rate in novel tasks that the robots had no experience in completing.

The team also found that the framework is around 5 times more data-efficient than current diffusion-policy-based models (which are currently state-of-the-art). This is impressive and could be very important in the future.

If robots can reliably manipulate objects without being retrained for each new situation, they can actually be used in tasks like helping around the home to clean, tidy, and perhaps even cook.

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