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A two-week penetration test can leave roughly 345 days of real-world exposure unvalidated. Sprocket Security explores why continuous testing is becoming critical as attack surfaces constantly change. [...]

A new process for mining lithium-rich rock could slash costs and pollution—and decentralize global lithium production.

Lithium mining is like a modern gold rush. The element is the main ingredient in batteries powering smartphones, electric cars, and even AI. Global demand is surging. Increased production could guide the world toward a more sustainable energy future.

But ironically, current extraction methods offset some of those gains. Lithium mining involves separating the element from brines using toxic chemicals, a process that also pumps out carbon dioxide. This, alongside enormous water and energy costs—due to high temperature requirements—has confined mining to a handful of countries.

To address these drawbacks, scientists at the Massachusetts Institute of Technology have now developed a low-cost, low-temperature, greener process relying on an abundant resource: Hard rock. Although rocks containing lithium cover large parts of the US, Europe, and Africa, extracting it from them is challenging.

While renovating his bathroom, study author Yet-Ming Chiang realized a chemical in glass etching cream—which makes glass translucent—could eat away at lithium-rich rocks. His team then designed a recyclable process to extract lithium as well as two ingredients used to make greener cement and other materials.

“You’ve heard of nose-to-tail eating?” said Chiang in a press release. “We refer to this as nose-to-tail mining.”

Unlike previous methods, the process runs at temperatures below the boiling point of water. All liquid chemicals are almost recyclable and can be reused in multiple rounds of extraction.

“This could establish a low-carbon alternative to hard rock refining, addressing both the surging demand for lithium and the carbon footprint that undermines the sustainability of the energy transition that lithium is meant to enable,” wrote Gang San Lee and Karthish Manthiram at the California Institute of Technology, who were not involved in the study.

A Rock and a Hard Place

The Earth’s crust teems with lithium. Getting it out is the hard part.

Currently, many mining operations rely on brine that naturally leaches lithium over millennia. Later steps purify the lithium into a battery-ready product. The process relies on large evaporation pools and is limited to a few countries, making the resource scarce.

Lithium could, alternatively, be harvested from solid rocks. One ore, spodumene, is packed with lithium, roughly 1.5 percent by weight. But liberating it has been a tough nut to crack.

Traditionally, miners crush rocks and remove chunks that don’t contain lithium. The rocks are then blasted at temperatures as high as 1,100 degrees Celsius (2,012 degrees Fahrenheit) and showered in a cocktail of dangerous chemicals. The process spews liquid waste into the environment and releases 20 tons of carbon for each ton of lithium.

Researchers are working on more temperate methods.

One of these is called ball milling. Ore is rotated in a container filled with hard balls that mechanically grind the stone into a fine power. It’s like using a mortar and pestle instead of a blender. But the process takes longer, and lithium is lost along the way, resulting in lower yields. Another method, called electrochemical leaching, refines the ore at room temperature. But researchers have had mixed success with the process, and it’s tough to scale up. It also produces in a lot of waste rock that could, in theory, be harvested for other uses instead being discarded.

Triple Threat

The new method popped into Chiang’s mind as he was brainstorming ways to break apart spodumene, a lithium-rich ore with high amounts of silica—the main ingredient in glass.

Dissolving silica to get to lithium requires hydrofluoric acid, a highly toxic chemical. But glass etching cream also eats away at silica with ammonium fluoride. Tubes of the mild acid are available in home improvement stores, and it works at room temperature. Why not give it a try?

By mixing ammonium fluoride with water, the team showed they could completely dissolve spodumene at temperatures below 100 degrees Celsius without releasing toxic fumes. They only needed to continuously stir the ore in a simple plastic tank. The process yielded several types of lithium salt with 99 percent purity. In early experiments, extraction took several days, but the team has since cut the time to under 12 hours.

“Dissolving silica is the hard part in mining,” said study author Benjamin Mowbray. “The next question was how do we apply it to impactful mineral processing problems?”

Along with lithium, spodumene is jam-packed with two usually discarded ingredients: Alumina, which after smelting makes aluminum, and silica, which can be directly used as a sustainable ingredient in greener cement. The new process can separate out both materials, and the team vetted the resulting products, including strength testing cubes of fabricated cement.

“First our goal was to produce these products, then there were additional steps of characterizing their purity and properties and making sure our products met the specifications for target markets,” said Mowbray.

“If any product didn’t meet the target specs, you’d end up with a waste stream.”

With a few chemical tweaks, the team showed the acid could be regenerated and reused at least five times. The team successfully processed 17 spodumene ores sourced from around the world, suggesting the method could be broadly applicable.

They’ve also spun the work into a startup, Rock Zero, and aim to scale it. If the acid can be recycled with near-perfect efficiency, the team estimates the process would cut costs over 40 percent compared to conventional hard-rock extraction, making it competitive with brine operations.

Its simplicity could also reshape where lithium gets produced. In 2024, roughly 74 percent of global lithium output came from just three countries: China, Australia, and Chile. By eliminating the need for extreme heat and massive waste-treatment plants, the process could be easier to implement, especially in countries rich in spodumene but lacking the capital for infrastructure.

That opens the door to a network of smaller refineries built closer to the mines themselves, reducing transportation costs and supply-chain bottlenecks. Because the process is also far less energy intensive, it could be powered by solar and wind, further shrinking its environmental impact.

The technology could also be adapted to recover other valuable metals hidden inside mineral ores. One candidate is beryllium, a lightweight but extremely stiff and stable metal used in satellites and the James Webb Space Telescope’s mirrors. Current manufacturing processes often generate toxic dust and fumes linked to serious lung inflammation. A cleaner extraction route could make it safer and cheaper to produce.  

As for Rock Zero, going up against established lithium giants is like David and Goliath. They’ll also have to contend with global market volatility and increasing competitiveness of sodium-ion batteries and other alternative battery chemistries.

But the team is unfazed. “We believe this approach is the lowest-energy, lowest-cost way of getting lithium not only out of hard rock, but period,” said Chiang. “That’s what’s motivating us to scale this.”

The post Three Countries Own the Lithium Market. An MIT Startup Wants to Break Their Grip. appeared first on SingularityHub.

Metrový meteor vstoupil v sobotu odpoledne vysokou rychlostí do zemské atmosféry • Mohutná exploze uvolnila obrovskou energii a vyvolala silný sonický třesk • Vesmírné těleso nakonec bezpečně skončilo ve vodách Atlantského oceánu

Nový Lego Batman shrnuje desítky let historie oblíbeného komiksového hrdiny s dávkou svého typického humoru. Pro novopečené příznivce netopýřího muže nejspíš nebude ideální, jinak ale odkaz Temného rytíře exceluje.

Speciální diagnostické nástroje dokážou odhalit skryté sledovací knihovny • TrackerControl nebo Samsung Internet umí nebezpečné přenosy blokovat • Získáte tak větší kontrolu nad zabezpečením svého soukromí

Probíhá konference Microsoft Build 2026. Microsoft představuje své novinky: kvantový čip Majorana 2, Surface Laptop Ultra a Surface RTX Spark Dev Box s NVIDIA RTX Spark, Intelligent Terminal, Coreutils for Windows (fork Rust Coreutils), AI modely MAI, AI agenta Scout, platformu pro agent-first zařízení Project Solara, …

Penzijní spoření čekají zásadní změny. Stát chce snížit poplatky, zvýhodnit mladé střadatele a do deseti let ukončit transformované fondy.

The Fragmented State of Modern Enterprise Identity Enterprise IAM is approaching a breaking point. As organizations scale, identity becomes increasingly fragmented across thousands of applications, decentralized teams, machine identities, and autonomous systems. The result is Identity Dark Matter: identity activity that sits outside the visibility of centralized IAM and beyond the reach of

The Fragmented State of Modern Enterprise Identity Enterprise IAM is approaching a breaking point. As organizations scale, identity becomes increasingly fragmented across thousands of applications, decentralized teams, machine identities, and autonomous systems. The result is Identity Dark Matter: identity activity that sits outside the visibility of centralized IAM and beyond the reach of [email protected]

Mikrofon Fifine T669 zlevnil na 899 Kč, běžně je o šest stovek dražší. • Láká na kvalitní zvuk, v ceně je i stojan, odpružený držák a pop filtr. • Uživatelé jej velmi chválí, v Alze má z více než 200 recenzí průměrnou známku 4,7/5.

Acer is working to address two maximum-severity zero-day vulnerabilities affecting its Wave 7 mesh routers. [...]

Apple’s MacBook Neo appears to be a triumph of strategic disruption that has already cast shock waves across the industry — and that energy is still playing out.

Approximately 55,000 MacBook Neo computers have been sold every day since it was introduced in March, according to IDC data (as first noted by TechCrunch). In fact, it looks as if Apple sold 1.1 million of these Macs in the first 20 days of sale, the analysts said.

There’s no real reason to imagine that level of demand has declined very much.

MacBook Neo: Millions sold

After all, not only do these Macs continue to dominate Amazon’s US laptop charts, but supply chain rumors claim Apple has doubled its manufacturing orders. “MacBook Neo shipments have come in better than expected, with the 2026 shipment forecast raised from 5 million to 10 million units,” Apple analyst Ming-Chi Kuo said recently. 

IDC’s March data may not capture the larger extent of the demand, as IDC analyst Navkendar Singh pointed out that MacBook Neo shipments “began to spike from early April”, which suggests demand has accelerated since then.

MacBook Neo demand exceeded expectations across multiple nations, including in India, where the company shifted 18,000 of them in the opening weeks.

Doing the business

Apple has also instructed processor maker TSMC to manufacture additional A18 processors specifically for its affordable laptop, while earlier speculation has claimed the company has been using ongoing memory price increases as a strategic competitive tool.  (The Neo starts at $599, with a pricier model set at $699.)

By expanding the potential customer base for Macs with a lower cost Neo, Apple is aiming a claim at the biggest-selling part of the PC market. And it is doing so even as rapidly increasing component prices force others to choose between higher product prices and profitability, or much-reduced margins in to compete at the same price. levels

That’s a losing battle; competitors for the most part can’t hope to match Apple’s bargaining position when it comes to the cost of components like memory because they don’t have the same scale. That means that even when component costs increase for everybody, Apple pays less, because it orders more. 

That scale means that for many component suppliers, it’s Apple’s business that keeps the meat on the table while other customers merely contribute the gravy. So, suppliers are happy to make deals with Apple to secure that main course — to continue the analogy — but are less likely to match those deals for dessert. As such, Apple is expected to be the only laptop vendor to see growth this year.

Apple’s great game

IDC’s figures confirm Apple’s strategy is working, with strong demand for the Neo, and, indeed, all Apple’s new laptops. At the same time, the researcher predicts overall global PC shipments will decline 11.3% this year, with a painful 20% sales drop envisioned for Q4. 

“We’re not seeing any relief to the memory shortage situation before the end of 2027, which means prices will continue to rise and PC manufacturers will struggle to maintain full product portfolios for the foreseeable future,” Jean Philippe Bouchard, vice president of devices and consumers at IDC said in a statement.

“The introduction of the MacBook Neo is putting real pressure on the entire PC ecosystem,” added Jitesh Ubrani, research manager for IDC’s Consumer Devices Trackers. 

Competitors are already responding with new devices equipped with ARM-based processors and aggressive promotional pricing. But none truly match what Apple has with MacBook Neo, and all must reach profitable scale to compete long-term. 

None have yet done so.

The strategy makes sense

“The MacBook Neo launch stands out as one of Apple’s most strategically important recent Mac releases,” Counterpoint analyst David Naranjo said. 

Apple is directly targeting customers that previously saw its products as too expensive. That allows it is also to aggressively build business in parts of the market such as education that tend to be more resilient to economic headwinds. MacBook Neo is also enjoying strong demand across the enterprise.

Both these parts of the market give Apple’s competitors their lunch. “The competitive pressure from the Neo is providing a partial offset to broader price increases, keeping some low-cost notebook options alive,” Ubrani said. “But the overall trajectory for average selling prices (ASPs) is firmly upward. IDC forecasts ASP growth of 17% in 2026, and even as memory capacity expands over the next two years, pricing is unlikely to return to 2025 levels.” 

Apple’s control over its processors, along with its strategic approach to component purchasing, means it should be able to maintain its existing Mac price points for a while. “Apple’s vertical integration (own silicon, own OS) gives it more levers than competitors reliant on third-party chips and Microsoft licensing,” Hexnode CEO Apu Pavithran told me recently.

So, while PC makers either exit the market or raise prices in pursuit of profits, MacBook Neo will continue racing off the shelves, particularly to large enterprise and education customers. 

The endgame? 

The Neo is more than a lower-cost Apple notebook. It’s a hugely disruptive product that is already driving noteworthy change across the PC industry; it’s forcing competitors to make difficult choices between cost and price — even as they grapple with the existential challenges of memory shortages, component price hikes, and raw materials costs. 

That’s not bad for a product that costs your local school just $499.

Just a reminder: the original $399 iPod cost only slightly less when it was first introduced, before subsequently disrupting the music industry.

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Microsoft už před lety nabídl náhradu za prehistorickou příkazovou řádku cmd v podobě moderního Terminálu s profily a hromadou nastavení. Na letošním výroční konferenci Build ukázal jeho experimentální odnož jménem Inteligentní Terminál 0.1, kterou si můžete stáhnout z Microsoft Storu. Můžete ...

Nvidia’s RTX Spark could give PC makers a new high-end category, built around machines that run more demanding AI workloads locally rather than in the cloud.

The chipmaker and Microsoft said RTX Spark Windows PCs will be built for personal AI agents and heavier local AI workloads, from AI development to engineering and content creation.

Nvidia said RTX Spark will offer up to 1 petaflop of AI performance and up to 128GB of unified memory, allowing systems to run 120-billion-parameter large language models locally.

Nvidia has lined up several major PC makers for the launch. The company said RTX Spark laptops and compact desktops will be available this fall from Asus, Dell, HP, Lenovo, Microsoft Surface, and MSI, with models from Acer and Gigabyte to follow. Dell is bringing the platform to its XPS 16 Creator Edition, while HP said upcoming OmniBooks powered by Nvidia will target agentic developers. Microsoft is positioning its Surface Laptop Ultra for creators, developers, and engineers.

Microsoft is also introducing the Surface RTX Spark Dev Box, a compact Windows AI developer PC designed to let developers build and refine models locally before turning to the cloud for larger workloads.

That could create a premium tier above mainstream AI PCs based on Intel, AMD and Qualcomm chips, helping lift average selling prices in a PC market where growth has been uneven. It could also raise questions about whether current AI PCs have enough local computing power for the more ambitious AI workloads that software makers and chip companies are now promoting.

But broad enterprise adoption is not assured. According to Futurum Research, the AI PC market could grow at a compound annual growth rate of about 38% between 2025 and 2030, but adoption is likely to slow in 2026 after a Windows 10 end-of-support-driven refresh cycle and normalize through 2027.

Futurum expects another wave of upgrades around 2028, as systems with higher levels of on-device AI compute become capable of running agentic AI workloads locally, suggesting RTX Spark’s early impact may be felt more in premium and specialist systems than in broad corporate fleets.

Adoption potential

Analysts say RTX Spark’s first test will be whether enterprises treat local AI compute as a workstation requirement rather than a standard laptop feature.

“In the near term, RTX Spark is more likely to be a high-end enterprise AI workstation category than a mass-market PC category,” said Pareekh Jain, CEO of Pareekh Consulting. “Most enterprise users do not need the level of local AI compute that RTX Spark offers.”

Jain said the platform could establish a premium tier between traditional workstations and AI servers, similar to how gaming GPUs created a premium PC segment. Its longer-term significance, he said, may lie less in unit volumes than in whether it becomes a reference architecture for AI-native workstations that can run large models on-device with strong security and low latency.

Prabhu Ram, VP of the industry research group at Cybermedia Research, said RTX Spark adoption would start in niche segments but could expand over the next two to three years if the software vision materializes. Its prospects will depend on post-launch performance, real-world pricing, and early enterprise pilot results, he said.

Ram added that OEM uptake would be the clearest early signal of whether RTX Spark is becoming a real enterprise category rather than a niche workstation product.

Cost and competition

The clearest near-term effect may be at the high end of the PC market, where RTX Spark could give vendors a more powerful class of AI system to sell above mainstream business laptops.

Jain said RTX Spark systems, which he expects to cost more than $2,000, are designed for heavier local AI workloads, including large language models and advanced content creation. By contrast, he said mainstream AI PCs based on Intel, AMD and Qualcomm chips are typically priced below $1,500 and are aimed more at Copilot+, summarization and other office productivity tasks.

That split could raise enterprise PC spending for power users, while making mainstream AI PCs look more like productivity devices, Jain said. Over time, it could increase pressure on Intel, AMD and Qualcomm to add more AI capabilities at lower price points.

But the immediate impact may not be on demand for mainstream PCs based on Qualcomm, Intel or AMD chips, according to Neil Shah, vice president for research and partner at Counterpoint Research. He said the more likely scenario is that RTX Spark may create a new segment that competes more directly with gaming PCs, Apple’s Mac Mini, and higher-end Macs used for on-device AI applications.

Who needs RTX Spark?

Analysts said RTX Spark-class systems are likely to be justified only where running AI locally has clear business value.

Sanchit Vir Gogia, chief analyst at Greyhound Research, said the test for enterprises is not whether a workload uses AI, but whether the organization gains by running that AI closer to the user, data, device or operating environment.

“If the work is meeting summaries, drafting, email triage, transcription, translation, search and ordinary assistance, Spark is unnecessary and a mainstream AI PC will do,” Gogia said. “Issuing Spark to every employee for that would be sending a Formula One car to fetch the milk.”

Gogia said likely early users include software developers, AI engineers, data scientists and security teams working with sensitive code, larger models, forensic data or local retrieval pipelines that companies may not want to move into external systems.

The security question could also shape adoption. Nvidia said the platform will rely on new Windows security tools and its OpenShell runtime, allowing companies to set policies for agents while keeping some queries on local models and masking personal data before selected queries are sent to cloud services.

“Nvidia is not only selling endpoint hardware,” Gogia said. “It is installing itself into the endpoint’s runtime, its policy layer and its agent orchestration. The endpoint conversation has quietly expanded from endpoint hardware to endpoint agency, and that is a CISO question long before it is a procurement one.”

Manish Rawat, analyst at TechInsights, said local AI compute could support faster development cycles, stronger privacy and lower cloud inference costs, while enabling workloads such as 12K video editing, simulations, digital twins and edge AI applications.

“CIOs should buy Spark where the workload justifies it, where the governance model supports it, and where the economics hold, and nowhere else,” Gogia added.

Updated: UK banks are set to receive access to OpenAI’s GPT-5.5 Cyber after being excluded from Anthropic’s latest expansion of Project Glasswing. Project Glasswing, and access to the Mythos Preview model, is geared toward ensuring critical infrastructure providers are prepared to handle the threat posed by advanced AI models, once they inevitably make their way into the public domain, and therefore the hands of attackers. However, amid a fourfold expansion of Glasswing’s partners, only JPMorganChase was named among the financial institutions to receive access to Mythos Preview, despite financial services falling under the critical infrastructure umbrella. In light of the news, HSBC, Lloyds Banking Group, and Nationwide will be among the banks to receive access to GPT-5.5 Cyber, the BBC reported, while NatWest and Santander have already been playing with it as part of separate agreements. OpenAI offered nine UK banks access to its Mythos-rival model in total, after they were snubbed from Glasswing. It is not clear if this number also includes the Bank of England, whose governor, Andrew Bailey, has been outspoken about its exclusion from Glasswing. Bailey told Bloomberg TV last week that despite pushing for access so the UK’s financial system is protected, Anthropic has not handed over the keys to Mythos Preview. Liam Salsi, director of architecture at Talion, told The Register he suspects the decision to exclude UK banks was political. Bailey had also previously alluded to suspicions that Anthropic had not yet granted access to Mythos Preview due to processes at play related to the US administration. “The US government wants to control who has access to the platform and this is largely because it will limit the chances of it falling into the wrong hands,” said Salsi. “However, limiting access will ultimately leave some banks more exposed to cyber threats and could impact their vulnerability management, leaving larger windows of opportunities for attackers. “It's hopeful these gaps won't exist for too long because of competition among Advanced AI platforms. GPT-5.5 was issued only a few weeks after Mythos, and it's safe to assume more advanced AI platforms will surface soon, closing gaps and delivering more of these systems to a larger pool of critical organizations.” He added that it could also introduce a single point of failure in the global banking sector if every institution were using the same product. Anthropic has not commented publicly on its approach regarding which financial institutions receive Mythos access, although it's not just financiers who are pondering the company’s decision-making. It transpired this week that the EU’s cybersecurity agency, ENISA, will receive access to Mythos Preview, while the US equivalent, CISA, is yet to be selected. Glasswing goes big In other news, Anthropic said on Tuesday it is looking to induct many more organizations into its Project Glasswing initiative, taking the total number of members from around 50 to 200. The additional 150 or so organizations hail from 15 different countries and will join the old guard, comprised of security shops and other tech giants, government agencies, and open-source maintainers. It has not named these organizations officially, although reports suggest that South Korea is among the 15 countries, and its science ministry, Samsung, SK Hynix, and SK Telecom are among the new inductees. Project Glasswing is something of a private members’ club – a carefully selected cohort of organizations with early access to Anthropic’s most advanced Mythos Preview model, the one the company claims will fundamentally alter the cybersecurity landscape. The cynics among us may see such claims as an extension of Anthropic’s marketing playbook, which some believe involves stoking excitement about a product through fear. When the AI biz announced Mythos in April, it did so by dubbing it too dangerous to unleash on the public. It was billed as an expert bug hunter and zero-day specialist, capable of finding vulnerabilities in code far more efficiently than humans. The oft-touted nugget from launch was the 27-year-old OpenBSD bug Mythos found during initial testing, but there were many more zero-days and other critical vulnerabilities – novel ones – Anthropic said its model was able to unearth. Those who have tinkered with Mythos Preview already report mixed results. Cloudflare CISO Grant Bourzikas wrote in May that the model represented “a real step forward,” and was able to find a series of low-severity bugs and chain them into working exploits. Others, such as cURL’s Daniel Stenberg, called Mythos Preview “an amazingly successful marketing stunt,” after it found just one vulnerability in the data transfer software. Likewise, security expert Kevin Beaumont said the model “is not great,” and “it’s marketing, essentially.” He said Mythos Preview was good at finding bugs in vibe-coded applications, but aside from that, it was not discovering much beyond what the models of yesteryear were capable of. Regarding the new intake of Glasswing partners, Anthropic but said each would have to pass its own security requirements before being granted access to Mythos Preview. It also said the new organizations brought into the fold all managed critical infrastructure services, and a successful attack on their systems could be “catastrophic.” “For most partners, we estimate that a major attack could affect more than 100 million people, with important ramifications for both global and national security,” the company said on Tuesday. “This expansion is the next step toward our long-term goals: for AI to make all software more secure, and for us to help the industry adjust to how AI could change many of the core assumptions of cybersecurity.” The big when? As for when the Mythos model will be made available to the wider public, Anthropic has kept that largely under wraps, but don’t expect it to be anytime soon. In its latest Glasswing announcement, the company said the safeguards required to prevent abuse are not yet available. “We’re working as quickly as we can to safely release Mythos-level capabilities in general access,” it stated. “To do so, we’ll need highly robust safeguards that prevent the model’s cyber capabilities from being misused – safeguards that we (and, to our knowledge, all other AI developers) have yet to develop. “Because cybersecurity has both helpful and destructive uses, making safeguards that are both strong and precise enough is a major challenge.” Anthropic may face some tough decisions in the next year, however, as by its own reckoning other AI companies will produce Mythos-level capabilities within their own models inside 6-12 months. Confusingly, it also said on Friday that it would be releasing Mythos-class models to all customers in the coming weeks. Anthropic said it will expand Glasswing further before Mythos is more widely launched, bringing in more critical infrastructure orgs, open-source maintainers, and safety testers. “We intend for future expansions to cover organizations in the US and overseas, just as this one does. We also intend to scale up our Cyber Verification Program, which would grant Mythos-class capabilities to many more organizations for specific cyberdefense tasks.” ® Updated to add at 1420 UTC: An OpenAI spokesperson confirmed to us that retired Brit politico and newspaper editor George Osborne – who has been OpenAI’s Head of OpenAI for Countries since the end of 2025, has "written to the CEOs / CISOs" at several UK financial institutions including HSBC, Natwest, Lloyds Banking Group, Nationwide, and others "to extend access to our latest defensive cyber capabilities." Global financial infrastructure provider Swift is also included. They added: "In total, we are extending access to nine leading financial institutions, which includes Santander Group and Natwest Group that already have access to GPT-5.5-Cyber as part of our existing relationships."

Google Chrome 149 byl prohlášen za stabilní. Nejnovější stabilní verze 149.0.7827.53 přináší řadu novinek. Podrobný přehled v poznámkách k vydání. Vylepšeny byly také nástroje pro vývojáře.

Každý měsíc vybíráme nejlepší chytré hodinky v několika kategoriích • Dělíme je podle zaměření i podle propojení s mobilními systémy • Nezapomněli jsme ani na fitness náramky

Cybersecurity researchers have disclosed details of an unpatched issue that could be exploited to disclose a user's NTLMv2 hash to the attacker. Like in the case of CVE-2026-33829, which impacted the Windows Snipping Tool's ms-screensketch: URI handler, the newly flagged issue resides in the search: URI handler, per Huntress. CVE-2026-33829 refers to a spoofing vulnerability that could expose

Cybersecurity researchers have disclosed details of an unpatched issue that could be exploited to disclose a user's NTLMv2 hash to the attacker. Like in the case of CVE-2026-33829, which impacted the Windows Snipping Tool's ms-screensketch: URI handler, the newly flagged issue resides in the search: URI handler, per Huntress. CVE-2026-33829 refers to a spoofing vulnerability that could expose Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]