New Android malware can deploy AI to automate device control — and it can even bring itself back from the dead

• Zimperium zLabs discovered RedHat, a Chinese‑origin Android banking trojan with AI assistant
• AI interprets screen layouts in real‑time, enabling credential theft and bypassing app redesigns
• Distributed via third‑party stores, social media, malvertising, and SMS; persistence blocks uninstall attempts

There is an Android malware out there that comes with an AI assistant that tells it what to do. The assistant seems to be independent of the malware’s operator, allowing the tool to work without requiring the operators to be present in real-time.

The malware in question is called RedHat. It was discovered by security researchers Zimperium zLabs, who believe it is of Chinese origin. It is currently being distributed via third-party app stores, social media, malvertising, and SMS spam, and requires Android’s Accessibility permissions to work.

The malware itself is a typical banking trojan - it creates an invisible overlay every time the victim brings up a banking app, capturing login credentials and one-time passwords, and thus giving attackers direct control over people’s banking accounts.

AI-powered eyes

But what makes RedHat stand out from a sea of Android banking trojans is its AI-powered component. The model serves as a kind of remote “eyes and hands” for controlling the victim’s phone.

Usually, when criminals develop banking trojans, they need to code exact coordinates of the layout for it to work. They need to code where the password is entered, or where the login button is. If the banking app gets redesigned and changes its layout, the malware breaks.

With AI, that is no longer a problem. RedHat gets a picture of what’s on the screen, sends it to the AI assistant, which then instructs the malware on how to proceed.

"RatHat uses AI to intelligently navigate and control the device interface in real-time, making its operations more adaptable and harder for security software to detect than traditional, scripted automation," Zimperium explained.

The tool also has a few advanced persistence mechanisms, being capable of reinstalling deleted components, and intercepting the uninstall process to cancel it while displaying a fake error message to the victim.

So far, there is no word on who the targets are, or how many people might have been compromised.

Via BleepingComputer

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Seagate finds 'AI is increasing the value of data' but warns that 43% of businesses lack proper data storage infrastructure — 99% expect AI storage (and storage costs) to explode

• Seagate study finds 99% of firms expect AI to increase their storage requirements within three years
• Only 38% of organizations consider themselves fully prepared for future demands
• Storage infrastructure ranks among the biggest obstacles facing AI deployment

New data from Seagate has claimed AI is increasing the business importance of stored information while exposing weaknesses in infrastructure readiness.

The company's research found 99% of respondents expect AI workloads to increase their storage requirements in the next three years.

Yet only 38% describe their organizations as completely prepared, while 43% identify storage infrastructure among the leading obstacles to wider AI deployment.

AI is raising the stakes for storage planning

The survey gathered responses from more than 2,700 technology decision-makers and found that 86% reported moderate or significant returns from AI investments.

Among those respondents, 33% said their organizations were already seeing substantial measurable financial or operational benefits from AI initiatives.

Those returns increase the importance of retaining information that can support future models, applications and decisions across changing business requirements.

Nearly 7 in 10 respondents expect storage requirements to increase by at least 26%, including 32% anticipating growth exceeding 50%.

Furthermore, 98% of respondents regard storage as strategic infrastructure rather than simply an administrative technology function.

The survey nevertheless shows that preparedness remains incomplete, with data quality and readiness identified by 53% as another major deployment difficulty.

Storage therefore ranks ahead of compute availability, cited by 27%, and energy constraints, which were identified by 24% of respondents.

The figures indicate that adding computing capacity alone does not resolve the infrastructure limitations organizations encounter when deploying increasingly data-intensive AI systems.

Sustainability is becoming part of the storage equation

Infrastructure expansion is also encountering sustainability concerns, with 77% of respondents reporting delays or changes to planned growth.

Within that figure, 36% said investments had undergone major changes, while another 41% experienced smaller postponements linked to sustainability considerations.

Power consumption was the most frequently considered environmental factor for storage hardware, cited by 62% of respondents.

Equipment lifespan followed at 55%, while respondents broadly connected longer hardware service periods with improved sustainability across data center operations.

Current confidence remains below future expectations, with 39% describing their storage operations as highly sustainable under present conditions, according to survey responses.

That proportion rises to 61% when respondents assess where their organizations expect storage sustainability to stand five years from now.

Funding levels also influence those expectations, with 70% of organizations holding sustainability budgets above $100 million expecting highly sustainable operations within five years.

By comparison, 48% of organizations with annual sustainability budgets below $1 million anticipate reaching that same level during the period.

Training material, active datasets, model checkpoints and retained outputs can impose substantially different infrastructure requirements throughout an AI system’s lifecycle.

For organizations expanding AI operations, those differences make storage architecture, equipment lifespan, energy consumption and capacity planning increasingly interconnected decisions.

The survey does not establish that every organization will face identical costs, although its findings indicate that storage growth is widely anticipated.

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Nuri rocket launch heralds South Korea’s first microsatellite constallation — and shows it might have the technology to launch its own Starlink

• The Nuri rocket is set to deploy 15 satellites following a planned launch on October 7 2026
• Its payload consists its first five disaster response NEONSAT units, and 10 CubeSats
• The NEONSAT satellites will form the first half of a 10-strong microsatellite constellation, potentially laying the groundwork for a Starlink-style network for the country and beyond

South Korea is preparing for the fifth launch of its Nuri rocket, which will have a 15-strong payload of NEONSATs and CubeSats, marking the first time the nation has deployed a microsatellite constellation.

If successful, the launch could spearhead future projects that might even include a Starlink-like satellite internet service.

Five NEONSATS and 10 CubeSats will be deployed by the Nuri rocket, which has a planned launch date of October 7, 2026. Once launched, the five NEONSATS will later be joined by a further five microsatellites. With the 10-strong constellation monitoring the Korean Peninsula to assist with national security threat and disaster response procedures.

Electro-optical cameras

While the 10 CubeSats represent scientific and corporate partnerships in the launch, the NEONSATS are of particular interest. The quintet of New-space Earth Observation Satellite Constellation for National Safety units will be deployed first as a five-piece constellation, and thanks to electro-optical cameras will provide previously unavailable monitoring of South Korea from orbit, ostensibly for disaster response. However, they also have the capacity to provide support in national security scenarios.

South Korea and North Korea are technically still at war, despite recently proposing talks to officially end the 1953 armistice.

Park Jae-sung, head of the Korea AeroSpace Administration’s (KASA) space transportation division, told press that "On its fifth launch, the Nuri rocket will attempt Korea's first satellite constellation launch mission. It will mark a turning point for the country's satellite development as it advances toward mass production and constellation operations."

Is this a “Starlink” dry-run?

While the electro-optical cameras on the 500 kg NEONSATS offer unprecedented monitoring for disasters and potentially neighboring territories, the entire launch set up appears to mirror a completely different project: Starlink.

Korea’s home grown Nuri rocket, a fifth launch, and a long-term ambition to reach Mars by 2045 might seem like a general mirroring of Elon Musk’s plans with SpaceX. However, the launch of a microsatellite constellation adds a further dimension. Could South Korea be planning its own Starlink-like satellite internet communications network?

If the Nuri rocket successfully deploys its payloads and the NEONSATS link up as intended, a Starlink-like system at some point in the future should not be ruled out. However, this clear potential comes with a pretty big warning sign: North Korea.

Starlink currently refuses to provide internet to North Korea, where it is banned. Would a South Korea-only network of internet microsatellites be able to avoid providing connectivity to its neighbor? In practice, this should not be difficult using the type of Phased Array Antennas that Starlink employs, which directs data more specifically than was possible with traditional satellites.

Objections from North Korea – reasonable or otherwise – may scupper any Starlink-inspired ambitions from Seoul, however.

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AMD could be working on an Nvidia DLSS 5 rival, but it'll be for next-gen RDNA 5 GPUs — and I've a feeling that may be too late

• AMD is rumored to be working on its own version of DLSS 5
• A leaker says that the neural rendering tech will be launched with next-gen RDNA 5 GPUs
• That means we could be waiting until late 2027 or 2028 to see this debut, which might leave AMD lagging behind Nvidia considerably

AMD could be working on its own take on Nvidia's DLSS 5, and apparently this alternative attempt at neural rendering will be for its next-gen RDNA 5 graphics cards.

VideoCardz spotted that a known leaker in the GPU field, Kepler L2, posted on the Anandtech forum in a discussion around RDNA 5 speculation to say that: "AMD will have their own version of 'Neural Lighting' like DLSS5 next-gen."

Kepler then clarified that he didn't mean a version of Ray Reconstruction, but a take on DLSS 5 (neural rendering), and that next-gen RDNA 5 GPUs would be required because "this stuff is pretty heavy" (as in resource-intensive).

In a further post, Kepler elaborated: "There's a lot of issues with Nvidia's approach [with DLSS 5], but it's possible to have a version of this with minimal hallucinations and 'AI slop' look."

He then suggests a way that AMD could work its version to improve on DLSS 5, including giving the AI "direct access to 3D game data such as geometry, ray data, depth buffers, materials, etc so it doesn't have to guess and can accurately know how each object in a scene should interact with light."

Kepler's outline of a proposed alternative for AMD would have a separate model (AI) for lighting improvements, and another different model solely for the shading of complex surfaces. DLSS 5 bundles these together with its neural rendering system, and adds color-grading on top — to adopt what the AI judges as more natural colors — which Kepler advises that AMD should dispense with entirely.

Analysis: a race against time – or a chance to get it right?

(Image credit: Gigabyte)

I won't pretend to be able to critique what Kepler is suggesting as an alternative for AMD and the technical nuances therein, except to say that the idea is clearly to achieve a result that looks less like it's been 'messed' about with by AI and minimizes any 'slopification' therein — preserving more of the original artistic intent.

And that seems a laudable goal, of course, and it also brings up how AMD is in an interesting position here in lagging behind Nvidia with its graphics tech (which has, of course, been the case from the start, with FSR following DLSS — version 2.0 of Nvidia's upscaling tech was already in play, in fact, when FSR 1.0 arrived). Team Red can sit back for now and see how DLSS 5 plays out, as more games emerge that use it, and gauge the reaction of gamers, and forge its own neural rendering tech to tackle any perceived weaknesses.

The performance hit will be an obvious area to target, and if AMD can bring that down — it's substantial with DLSS 5 as it is now — that will obviously be a big win. That said, I'd expect Nvidia will be working with some haste to make DLSS 5 more performant, and as with DLSS 1, the tech will be improved considerably by the time Team Red has its own version out.

This is the other side of the equation here, where Nvidia could win out. With RDNA 5 GPUs not expected to arrive for at least a year, and quite possibly longer (the RAM crisis isn't helping), there's quite a lengthy timeframe on any AMD rival to DLSS 5. By the time it arrives, DLSS 5.5 may be in town with considerable improvements in tow. There's already been a notable turnaround in the perception of DLSS 5 with its official launch (compared to Nvidia's sneak preview earlier this year).

This is, of course, assuming AMD is indeed working on its own neural rendering technology, but I'd be surprised if this wasn't the case. For now, though, the word of a single leaker needs to be thoroughly seasoned, as ever, even though it's believable enough that Team Red would be aiming to use this on RDNA 5 graphics cards.

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Iran snoops on enemies of the state with Chosen Brick malware controlled using messaging apps

• UK NCSC, FBI, and Dutch AIVD warn Iran is using Chosen Brick malware against dissidents and journalists
• Malware steals files, captures audio, grabs WhatsApp/Telegram data, and can wipe systems entirely
• Operatives rely on social engineering; agencies urge awareness, MFA, updates, and endpoint monitoring

Iranian hackers are targeting “enemies of the state”, both local and foreign, with advanced malware capable of spying on the victims and stealing their sensitive files, experts have warned.

This is according to a new security advisory, published jointly by the UK National Cyber Security Centre, the FBI, and the Netherlands’ General Intelligence and Security Service (AIVD), which noted how Iranian operatives would first do extensive research into their victims - dissidents, activists, and journalists - deemed a risk to the regime.

After learning as much about their targets as possible, they reach out via social media, either as someone the victims know, or as technical support for the platform they’re currently using, engaging in extended conversation until the victim lowers their guard. At one point, the attackers will try to share a piece of malware with the victims, tracked as Chosen Brick.

A thousand victims

This malware, designed primarily for the Windows platform, has a long list of capabilities, including enumerating running processes and system information, capturing screen content, enabling the microphone to capture audio content, capturing a copy of Telegram and WhatsApp data from web browsers, downloading additional files and malware, deleting files, stealing email content, and ultimately - wiping the entire computer system. The operatives communicate with the malware using Telegram, it was said.

“Iran almost certainly uses cyber activity to support the repression of individuals who are seen as a threat to the regime, such as dissidents, activists and journalists,” the three agencies said in the report. “In some cases, the Iranian intelligence services have plotted to kidnap or conduct lethal operations against individuals internationally, who they perceive as enemies of the regime.”

In the advisory, the three agencies said the best defense is to simply be more aware of social engineering. However, there are also a few technical mitigations that can help, including following NCSC advice on staying safe online, keeping all devices up-to-date (ideally through automatic updates), using antivirus software, and not disabling smart screen warnings on file downloads.

Finally, it would be wise to enable phishing-resistant MFA, make sure devices are managed with appropriate controls, turn on email scanning, deploy endpoint and network monitoring, and conduct a search for the IoCs.

Via The Register

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Vertical GPU, top-loading HDDs: Morefine's 4-bay NAS is unlike any AI workstation PC I've ever seen, thanks to a simple physics law

• Morefine MNAS-X1 stacks four hard drives directly above the processor to escape heat
• The MNAS-X1 packs an 800W power supply into a 15.6L chassis
• Four spring-latch drive bays let users swap storage without any tools

Morefine has released an AI workstation PC that stacks its storage drives on top of the chassis instead of beside the processor.

The MNAS-X1 arrives with a four-bay hard drive tray fixed directly above the motherboard rather than tucked beside it.

This unusual layout follows a fairly straightforward principle, since warm air naturally rises while cool air tends to settle lower, keeping the drives clear of the hottest components below them.

A candybar body built for drive swaps

The chassis measures 218mm by 193mm by 372mm, giving a 15.6L footprint wrapped in a white aluminum alloy shell over a steel frame.

A glossy purple panel breaks up the front, and vents line the left, right, rear, and top surfaces for airflow.

Each of the four 3.5-inch bays has a spring latch release, letting drives slide out without tools once the side button is pressed.

Connectivity runs to one USB4 port, several USB-A ports, dual 10G RJ45 network jacks, an SD card slot, and a single HDMI 2.0 output for 4K at 60Hz.

Inside sits an AMD Ryzen 7 Pro 8845HS chip, an 8-core, 16-thread Zen4 chip with a 3.8GHz base clock and a 5.1GHz boost, paired with a Radeon 780M graphics core rated at 2700MHz.

An onboard XDNA NPU adds 16 TOPS on its own and 38 TOPS when the CPU, GPU, and NPU work together.

Two DDR5 SO-DIMM slots hold up to 96GB, three M.2 2280 slots take PCIe 4.0 x4 SSDs at 4TB each, and the four SATA bays add up to 30TB apiece for a combined ceiling near 132TB.

Room for a full-size GPU and real benchmark numbers

The three-slot PCIe 4.0 x16 opening accepts cards up to 330mm long and 66mm thick, backed by an 800W CRPS power supply built to the 2.0 specification with an 80 PLUS Platinum rating.

Fitted with 64GB of RAM, a 500GB M.2 SSD, and an RTX 5070 with 12GB of VRAM running in x8 mode, a review unit posted a Cinebench R23 score of 16271 pts multi-core and 1794 pts single-core, plus a PCMark 10 total of 9966.

Local language model testing through ONNX Runtime returned scores of 3511, 3714, 3163, and 3408 across the Phi 3.5, Mistral, Llama 3.1, and Llama 2 benchmarks, respectively.

That Cinebench multi-core figure lands in roughly the same range as an eight-core desktop chip like the Ryzen 7 5800X, while the PCMark total edges past what most mid-range gaming laptops score.

During a 21-minute full-load stress run, CPU power held at 54W with an average die temperature of 86℃, while the GPU drew 250W and averaged 80℃.

Morefine has not confirmed pricing for the MNAS-X1, and the unit is currently listed for inquiry only through its regional distributor.

Stacking the storage above rather than beside the board is a small design choice, but it turns a routine barebones NAS build into something closer to a hybrid server.

Whether that trade-off proves practical will likely come down to how much heat a fully loaded GPU pushes upward once the drive bay sits directly in its path.

Via HKEPC Hardware (originally in Chinese)

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'New arena for strategic rivalry': China’s intelligence chief calls for regulations and guardrails on AI to prevent new arms race

• China’s state security minister Chen Yixin urged global AI guardrails, calling it a new arms race
• He outlined five risks: ideological manipulation, infrastructure attacks, data leaks, development gaps, and espionage
• US officials likewise warn against losing AI dominance to China, intensifying geopolitical rivalry

China’s Minister of State Security has called for global regulation and guardrails on Artificial Intelligence (AI), as the nascent technology turns into a “new arena for strategic rivalry among major powers”. In other words, the AI race is the new arms race and humanity needs rules before it spirals out of control.

Chen Yixin made the claims in a new article on China Cyberspace, a journal run by internet watchdog body the Cyberspace Administration of China.

In the article, Chen highlighted five key risks of AI development:

1. Ideological security risk
2. Critical information infrastructure risk
3. Data leaks risk
4. Development gap risk
5. Espionage risk

Ideological security risk

Artificial Intelligence could be “leveraged by hostile forces” to create fake news and other harmful information, systematically creating discontent and dividing the population, Chen said.

Discussing risks to critical information infrastructure, he said that as models advance, the barrier to entry lowers, making disruptive cyberattacks quicker and easier to pull off.

“Foreign intelligence agencies are heavily exploiting smart web crawlers, data mining and profiling technologies to harvest sensitive information, including critical state data, business secrets, and personal information,” he said.

He also warned that people are recklessly sharing sensitive data with foreign AI tools, which could result in catastrophic data leaks. Apparently, open source agents like OpenClaw often come with vulnerabilities that could result in remotely-triggered data spills.

When it comes to the development gap risk, Yixin warned that a handful of major players are severing the global AI supply chain and creating a monopoly of closed-source ecosystems. Finally, he urged for the creation of early-warning mechanisms and public advisories which should name and shame foreign nation-state actors using AI for espionage, data theft, and disinformation campaigns.

US vs China

Expectedly, Yixin did not name any specific countries, but it’s easy to read the United States’ name between the lines, the South China Morning Post hints in its report, adding that the US administration recently warned it could not allow China surpassing it on AI development.

Indeed, less than a week ago, US Treasury Secretary Scott Bessent said the country would face dire consequences should it lose the AI race against China. "There is no day after tomorrow if China wins at this," Bessent said at a Breitbart News event in Washington, Bloomberg reported. "If they were to pull away from us on AI, then nothing else would matter."

The US has been at a trade war with China (among other countries) for years now. During Donald Trump’s first term, he blacklisted numerous Chinese hardware manufacturers, warning that Chinese-built 5G infrastructure could be abused to install backdoors and allow the Chinese government to spy on US communications. Huawei, ZTE, and TikTok bore the brunt of these accusations, which the Chinese government vehemently denied.

In his second term, Trump also declared a national emergency and banned all foreign bulk-power systems from being imported, installed, or used in the country. In a signed executive order, Trump said that during his first term, he found “that the bulk-power system could be a target of those seeking to commit malicious acts against the United States, including malicious cyber activities, because of the significant risks that a successful attack would have on our economy, human health and safety, and national defense.”

President Trump also said there were “minimal restrictions” on both acquisition and operation of these foreign-produced systems. As a result, the situation “constitutes an unusual and extraordinary threat … to the national security, foreign policy, and economy of the United States.”

While the AI race is intensifying, developers are calling for a slowdown and better guardrails. Some developers estimated that AI could end humanity in a few decades, urging the industry to slow down and only develop systems they are confident they can control.

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A costly mistake? Report claims a third of employees fired due to AI will need to be rehired in the next few years

• Gartner predicts that around 33% of people laid off due to AI could be rehired by 2029
• Those rehired employees, presumably filling similar roles, will command higher salaries
• Further predictions point to 75% of organizations making cost savings from AI productivity being overtaken by competing companies with a stronger modernizing philosophy

People laid off from their roles due to a corporate refocusing on AI could soon find themselves rehired – or at least, their former roles being advertised, new Gartner research has claimed.

It predicts that by 2027, 75% of organizations who expected to make cost savings by focusing on AI productivity over human endeavor will be overtaken by companies who reinvested those savings in modernization and training.

Organizations which have made large cuts to their workforce in order to take advantage of perceived productivity boosts from automation could be forced to change to a new human-centric philosophy, where skills and abilities can be amplified while AI does the grunt work.

AI vs. management

Choices made by companies across all industries could be cause for regret in future, as the truth about how AI is used comes to light. Rather than being a disruptor of employment, the notion of intelligent automation may be considered as a missed opportunity by some organizations.

"When business and IT executives look back on the early AI era, they will realize their greatest mistake was believing that work automation was the point, when workforce amplification was the opportunity," noted Tori Paulman, VP analyst at Gartner.

That mistake – which could not only have severe consequences for the business – could have had striking impacts on individuals, all due to a misunderstanding of what AI can deliver.

"The competitive advantage will go to the CIOs and business executives,” continues Paulman, “who build an AI-shaped organization where AI value compounds by reshaping roles and allowing workflows to cross traditional boundaries, increasing velocity and reducing friction."

AI productivity... gains?

Gartner’s prediction appears to paint a bleak picture for any organization that has failed to amplify the talents and abilities of its employees after going all-in on AI. But there is still time to fix the damage. Its prediction of 2027 might only be a year away, but 2029 – when just short of 33% of employees are expected to need rehiring – is far enough down the line that there is time to start reorganizing now.

"Business and IT executives [...] should develop a 'talent remix' strategy that uses AI to reshape roles and redirect workers from less productive work to new opportunities," said Paulman.

The conclusion is that AI is better used to strengthen decision making, creativity, and leadership, rather than replacing people for misjudged producivity boosts.

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31,000 Twitch users hit by malicious browser extension — OAuth tokens leaked via Russian proxy network

• Socket found Twitch extension JeeBot harvesting OAuth tokens via proxy servers
• Tokens excluded only for 10 Russian streamer channels, suggesting deliberate design
• Developer issued fixes, but users should revoke exposed tokens for safety

A browser extension for Twitch was harvesting people’s OAuth tokens and sending them to a Russian-owned server. The move was deliberate, but whether or not it was malicious is not that easily determined.

Security researchers Socket recently found an extension for both Chrome and Firefox, called “Twitch Enhanced Viewer | JeeBot”. It has roughly 30,000 users on Chrome, and some 600 on Firefox.

On the Chrome Web Store, it is advertised as a “modern tool for streamers and viewers who value quality, convenience, and control.” Apparently, it makes streaming and viewing clearer, allows viewing content in 2K, hides banner ads and unwanted elements, and even offers an AI bot to make it easier to interact with the stream.

Hardcoded exemptions

According to the researchers, the extension is designed to retrieve Twitch’s video stream playlists through its own proxy servers. However, instead of simply forwarding the requests, the extension also attached users’ OAuth tokens, and since they were placed in the URL, the token also ended up in the proxy server’s request logs.

After being called out for it, the extension’s developer (HISHIMIRO/jeetbot.cc) released a new version 85.8.7 (for Firefox, the Chrome one is currently under review) which apparently fixes this flaw: when playlists are retrieved, the user’s OAuth token is no longer sent to the proxies. It would seem like this was an honest mistake that was remedied upon responsible disclosure. However, here is what Socket had to say about the way the tokens were being retrieved:

"Current builds (v85.x) forward the token inline as an &auth= query parameter on a network-layer redirect to the operator's proxy," Socket explained. "The token is forwarded for every channel the user watches, except a hardcoded allowlist of ten Russian streamer channels, whose sessions are exempted from forwarding."

If there was a list of 10 Russian streamer channels who were exempt from OAuth token retrieval, it’s safe to assume that the developer knew very well what they were doing.

It is good that the extensions were upgraded, but if you are using it, you should also revoke the exposed Twitch token, to be on the safe side.

Via The Hacker News

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'Theft, lies, cover-up': US government slams Huawei for alleged criminal activity as blockbuster trial begins

• The US Department of Justice has accused Huawei of conspiring to steal secrets from five US companies
• Huawei is accused of a prolonged campaign of theft, covering a 20 year period
• Admissions from Huawei's chief financial officer, ⁠Meng Wanzhou, are set to be used as evidence in the trial

Court proceedings have begun against Huawei in the United States, with the US Department of Justice accusing the Chinese tech giant of stealing trade secrets from competing US companies.

Huawei – which unusually for Chinese companies operating abroad is owned entirely by its staff – has denied all accusations of industrial espionage, intellectual property, and any other wrongdoing.

While accused of stealing from companies that include Cisco and T-Mobile, Huawei’s defense is that it is simply innovating and doing business as a competitor.

Who has Huawei spied on?

Given the United States’ belligerent tone towards China under the current administration, that might seem a weak response. However, several concessions have been made to China in this case, not least the charges against Huawei's chief financial officer, ⁠Meng Wanzhou. While charges against her were dropped, her evidence is set to be used in the case against Huawei.

The accusations against Huawei are numerous, but the most attention is on its alleged industrial espionage. It is accused of stealing trade secrets and misappropriating intellectual property from T-Mobile US, Cisco Systems, Motorola, CNEX Labs, and Akhan Semiconductor.

In the US government’s opening statement, Department of Justice trial attorney Taylor Stout stated: "For 20 years […] Huawei, a massive Chinese telecommunications company, victimized ‌American companies and abused the American financial system, all in an effort to dominate the telecommunications industry around the world."

Inevitably, the defense claimed that everything was ordinary innovation, rather than criminal activity. “Huawei earned its success,” said Brian Heberling, defending. “It's about competition, not conspiracy. Innovation, not theft. Ordinary business dealings, not criminal conduct.”

State control?

The case also draws on a history of poor conduct from Huawei, which has been previously observed to have close ties with Skycom, a company that allegedly attempted to sell embargoed tech (specifically, Hewlett-Packard computer equipment) to an Iranian business.

Unlike other significant Chinese multinationals, Huawei is not state controlled. Rather, it is owned entirely by its staff, as opposed to an organization that might state-owned, have heavy state influence over them, or even “golden shares” that enable vetos or special board seats. Whether this was apparent to the US Department of Justice ahead of the initial investigation is not clear, but it does put a barrier against implications that the Chinese government were involved.

After taking eight years to come to trial, proceedings are expected to run for around three months.

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Good for Mother Nature? RAM-pocalyse encourages millions to recycle their old devices as expert says 'economics of component recovery are changing'

• AI memory demand is making even broken smartphones increasingly valuable to buyers
• Old phones are gaining value as replacement components become harder to source
• Grade D devices remain abundant despite stronger prices for salvageable hardware

A global shortage of memory chips driven by artificial intelligence demand is pushing millions of consumers toward the resale market.

Owners who once let broken or outdated smartphones sit in drawers are now finding that even damaged units carry unexpected monetary value.

Buyers across the refurbishment and repair industries are competing for parts that were previously considered worthless scrap.

Salvage values climb as parts become scarce

Marketplace figures from B-Stock, a large business-to-business platform for used smartphones, show pricing for both Apple and Samsung devices rose in the second quarter of 2026 compared with the prior two quarters.

Grade D handsets, the lowest condition tier, made up the bulk of units sold last year, with millions changing hands through the platform.

In the first half of 2026, mid-tier C-condition phones actually overtook the lowest tier by volume, accounting for 37.8% of sales versus 31.6% for the bottom grade.

The iPhone 17 Pro Max fetched the strongest average price among Apple models, reaching $940 across all condition levels during the quarter.

Samsung's top-selling models were the S23 Ultra, the S22 Ultra and the S24 Ultra, with the S22 Ultra pushing the older Z Fold5 out of second place.

After the Galaxy S26 launched, prices for previous-generation Samsung flagships climbed as well, with a well-kept S23 Ultra reaching $425 in June, its strongest month of the year.

Repair industry sees new value in broken parts

B-Stock has cautioned against assuming shoppers are simply rushing to dump unwanted hardware.

The company points out that people are keeping their phones for extended periods, a pattern that itself drives up the volume of low-grade listings as devices age.

Manufacturers are not yet routinely pulling memory chips from damaged phones to install in new products, since testing, compatibility and reliability checks complicate that approach.

According to the company, the economics of recovering usable components are shifting as memory prices climb, making it worthwhile to salvage parts that once were not worth the labor involved.

Displays, camera assemblies, batteries, charging ports, housings, speakers, cables and circuit boards can all retain value even when a phone itself is beyond repair.

A single low-grade device does not necessarily mean every part inside it shares that same poor rating.

A phone traded in after four or more years often fails battery health testing alone, which is enough to place it in the bottom tier under standard platform rules.

The current trend feels less like a sudden environmental awakening and more like a market correction.

Consumers are not necessarily recycling out of ecological conviction, and retailers are sweetening trade-in offers to keep the supply of parts flowing.

Whether the shift meaningfully reduces electronic waste, or simply redirects it toward a more profitable pipeline, remains an open question worth watching.

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