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Amazon Web Services is working to address a power outage that has created “impairments” to services served from the notorious US-EAST-1 region. A May 7 incident report time-stamped 5:25 PM PDT (00:25 UTC Friday) states that AWS spotted problems in the use1-az4 availability zone of the US-EAST-1 Region. A subsequent update states “EC2 instances and EBS volumes hosted on impacted hardware are affected by the loss of power during the thermal event.” An update time-stamped 6:47 PM PDT reveals“We continue to work towards mitigating the increased temperatures to its normal levels,” but warns “Other AWS services that depend on the affected EC2 instances and EBS volumes in this Availability Zone may also experience impairments.” At 8:06 PM PDT Amazon said it was "actively working to restore temperatures to normal levels ... though progress is slower than originally anticipated." The cloudy concern said it made "incremental progress to restore cooling systems" but users of EC2 Instances, EBS Volumes, and other services are "experiencing elevated error rates and latencies for some workflows." AWS has also shifted traffic away from the stricken AZ, and suggested companies shift workloads into other US-EAST-1 availability zones. Good luck getting that done because the update admits “Customers may experience longer than usual provisioning times.” US-EAST-1 is arguably AWS’s problem child, as it was the site of major outages that took big chunks of the internet offline in 2021 and then again in October 2025 . AWS execs have told The Register the region isn’t inherently more fragile than other parts of the Amazonian cloud, but often runs things at bigger scale than elsewhere and therefore imposes extra stress on services. The Register will update this story as the situation evolves. ®

HPE has delivered the first fruits of its Juniper acquisition: Wi-Fi access points that users can manage with either Aruba Central or the Mist platform, and “self-driving” tools that use AI to allow some autonomous operations. The access points are the prosaically named HPE Networking 723H, a three-radio Wi-Fi 7 machine the company recommends for hospitality, branch, and teleworker deployments. The APs also represent HPE’s first application of AI-powered autonomous networks. Mittal Parekh, HPE’s marketing lead for campus and branch networking, told The Register one self-driving scenario HPE provides is scanning the local RF environment to detect any frequencies Wi-Fi should avoid because they’re required or in use by military or other organizations that have priority. Self-driving means networks will automatically steer clear of those frequencies when it makes sense to do so. He also pointed to “dynamic capacity optimization,” which he said will see HPE Wi-Fi networks detect a gathering of users for events like an all-hands meeting, and adjust itself as necessary to ensure connections remain strong and steady. Detecting mismatched or missing VLANs, and rebuilding networks before traffic drops, is another self-driving capability. Parekh said those scenarios currently require IT teams to do manual work that might not be possible to complete before the meeting ends, or a military user vacates a frequency. HPE’s tech will also detect and de-fang rogue DHCP servers before they become a problem. Parekh said HPE’s tech allows humans to remain in the loop if they choose but hopes that NetAdmins begin to develop sufficient trust that they let networks take care of their own affairs and spend their time on higher-value tasks. The application that delivers self-driving capabilities runs in the cloud, and uses oodles of data HPE and Juniper collected over decades, plus the Marvis AI Juniper offered when it was an independent outfit. Jeff Aaron, marketing lead for HPE’s networking business unit, pointed out that HPE has delivered a unified product within months of closing its Juniper acquisition, and snarked that Cisco took years to do likewise when merging its own-brand Wi-Fi with Meraki’s. Competitive sniping aside, Aaron said the self-driving tech and Wi-Fi APs show how HPE plans to cross-pollinate its Aruba and Juniper portfolios, without forcing users of either brand to make a jump. HPE is not alone in pursuing agentic network operations, or merging networking brands: Cisco is combining its Catalyst and Meraki management tools, and is betting on AI to detect network issues and automate fixes. ®

Mozilla fixed 423 Firefox security bugs in April, a repair rate more than five times higher than the 76 fixes issued in March and almost 20 times higher than its 21.5 monthly average last year. The browser maker previously said Anthropic's ballyhooed Mythos Preview model found 271 of these in Firefox 150. Now, a trio of technical types has come forward to provide a bit more detail about what Mythos (and its less storied sibling Opus 4.6) actually found. But they also highlight something that may matter more than the model: the agentic harness – the middleware mediating between AI and the end user. Brian Grinstead, Firefox distinguished engineer, Christian Holler, Firefox tech lead, and Frederik Braun, head of the Firefox security team, observe that over the past few months, AI-generated security reports have gone from slop to rather more tasty. They attribute the transformation to better models and development of better ways of harnessing those models – steering them in a way that increases the ratio of signal to noise. But they also appear to be aware that there's some skepticism in the security community about Mythos. So they've decided to publicize selected wins in an effort to encourage others to jump aboard the AI bug remediation train. "Ordinarily we keep detailed bug reports private for several months after shipping fixes and issuing security advisories, largely as a precaution to protect any users who, for whatever reason, were slow to update to the latest version of Firefox," they said. "Given the extraordinary level of interest in this topic and the urgency of action needed throughout the software ecosystem, we’ve made the calculated decision to unhide a small sample of the reports behind the fixes we recently shipped." The post links to a dozen Firefox bugs with varying degrees of severity. The list includes, for example, a 20-year-old heap use-after-free bug (high severity) that a web page could trigger using the XSLTProcessor DOM API without any user interaction. Many of these bugs are sandbox escapes, they note, which are difficult to find using techniques like fuzzing. AI analysis, they say, helps provide broader security coverage. And they add that it has helped validate prior browser hardening work designed to prevent prototype pollution attacks – audit logs showed AI models making unsuccessful exploitation attempts using this technique. Following Anthropic's announcement of Project Glasswing – a program for companies to gain early access to Mythos because it's touted as too dangerous for public release – security experts expressed skepticism. For example, Davi Ottenheimer, president of security consultancy flyingpenguin, wrote in an April 13 blog post, "The supposedly huge Anthropic 'step change' appears to be little more than a rounding error. The threat narrative so far appears to be ALL marketing and no real results. The Glasswing consortium is regulatory capture dressed up poorly as restraint." He subsequently ran a test in which he strapped Anthropic's lesser models Sonnet 4.6 and Haiku 4.5 into a harness called Wirken with an auditing skill called Lyrik. The result was eight findings in two minutes at a cost of about $0.75, Ottenheimer claims, noting that two of the eight matched bugs Mythos had identified. Other security folk have also reported that bug hunting and exploit development can be quite productive with off-the-shelf models like Opus 4.6, which among other virtues costs about 5x less than Mythos. In an email to The Register, Ottenheimer said, "There's a fundamental philosophical failure in the Mozilla post. A reading and a measurement are not the same thing. I don't see a measurement, but they seem to want us to believe we're looking at one. "When they give us the 'behind the scenes math' it's circular, a trick. 'Mythos found 271 bugs' is what Mythos found, not what other tools could not find against the same code. Why leave it as an assumption if it can be proven?" Ottenheimer said Mozilla advocates that every project adopt a similar approach without proving the merits of that approach. "It's like saying if you don't drink Coca-Cola, you can't run a mile under six minutes, because that's what a guy sponsored by Coca-Cola just did," he said. "The bar moves on rhetoric, marketing, not proper evidence. That is the capture crew again." He notes that the merits of Mythos might be more convincing if Mozilla had reported they couldn't do this work without Mythos. And since they're not saying that, he suggests, it's worth asking why there's no transparent comparison of Mythos to other models. He points to Mozilla's admission that Opus 4.6 was already identifying "an impressive amount of previously unknown vulnerabilities." "Mozilla never quantifies what Opus 4.6 [did] before saying what Mythos added," he said. "So 271 attributed to Mythos doesn't fit the analysis. And there's a deeper reveal when they say 'we dramatically improved our techniques for harnessing these models.' The improvement may be entirely in the harness, not as much in the model. This maps to my own experience. A nail gun has advantages over the hammer, yet without being in the right hands the outputs are as bad or worse." ®

The IMF is warning that advanced AI-powered cyberattacks pose a serious threat to global financial stability. "IMF analysis suggests that extreme cyber-incident losses could trigger funding strains, raise solvency concerns, and disrupt broader markets," the lender warned in a new report. The report urged greater international cooperation and emphasized resilience, since breaches are "inevitable" -- particularly for emerging economies with weaker defenses. Agence France-Presse reports: The study's authors highlighted the risks posed by the highly interconnected nature of the global financial system, with advanced AI models able to "dramatically reduce" the time and cost of exploiting vulnerabilities. [...] The IMF warned that emerging and developing countries, "which often have more severe resource constraints, may be disproportionately exposed to attackers targeting regions with weaker defenses." The risks, the authors said, were systemic, cut across sectors and came with the threat of contagion, with the reliance on a small number of platforms and cloud providers likely to increase "the impact of any single exploited weakness." "Defenses will inevitably be breached, so resilience must also be a priority, specifically to limit how far incidents spread and ensure rapid recovery," the report said. IMF chief Kristalina Georgieva warned last month that the global financial system was not ready for the cybersecurity threats posed by AI. "We are very keen to see more attention to the guardrails that are necessary to protect financial stability in a world of AI," she told CBS News, seeking global collaboration on the issue.

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If you're a ServiceNow customer, you can stop waiting for developers to help you on a project. Dyna Software, an eight-year-old ServiceNow Elite Build Partner based in Calgary, Alberta, has launched Platform Copilot, the first agentic AI tool that lets business users and not just developers configure and build on the ServiceNow platform using natural language. Dyna Software CEO Ron Browning showed it off at ServiceNow’s event Knowledge 2026 in Las Vegas this week, telling The Register that it draws a sharp distinction between what the platform vendor offers and what his company built. "A lot of things today are still focused on enabling developers, as opposed to really enabling business," Browning said. He noted that most AI-assisted tools in the ServiceNow ecosystem still require a developer in the loop to translate business requirements into technical configurations, which is the bottleneck Dyna Soft set out to eliminate. Platform Copilot connects to a customer's ServiceNow development instance and reads the existing schema and configuration details. When a business analyst or process consultant describes what they want in plain language, or uploads an image of a legacy form, the tool generates a wireframe model, validates the proposed changes against the instance's actual environment, and then builds the configuration. Browning said the tool can handle roughly 80 percent of the enhancement work that typically flows through ServiceNow development teams. “The goal that I really have, to be honest, is a situation where you could have a business person literally just fill in a form that says ‘I need this. I want it to be this. Here are my parameters,’ hit send. And that just goes directly into Platform Copilot,” he said. “And then basically, the next step, you've got it built, and you're ready to move it over. And technical folks didn't really have to be involved at all.” The "instance-aware" design, meaning it is built for the user's own ServiceNow instance, is central to Dyna Software's pitch. Generic AI coding tools like Anthropic's Claude or OpenAI's Codex can generate ServiceNow configurations, but they produce generic output unless a developer manually supplies environment-specific parameters, Browning said. Platform Copilot pulls those parameters automatically, which Browning said prevents the kind of conflicts and technical debt that can otherwise plague large ServiceNow deployments. He pointed to an early use case with a partner in Australia that needed to migrate more than 200 catalog items from a legacy system into ServiceNow. Under a traditional approach, that project could stretch close to a year. With Platform Copilot, a business analyst uploaded images of the legacy forms, reviewed generated wireframes in minutes, made adjustments, and pushed production-ready configurations without developer intervention. Government agencies represent another target market. Browning described a common scenario: a backlog of PDF forms that need to be digitized into a ServiceNow portal, with estimated timelines stretching to two years. Platform Copilot compresses that timeline by automating the dozens of discrete configuration changes that even a simple form requires across the ServiceNow platform. The company built Platform Copilot on top of its existing flagship product, Guardrails, an on-platform DevOps toolset used by some top ServiceNow customers to manage customizations and protect against upgrade failures. That foundation gives Platform Copilot its understanding of how to build configurations that comply with ServiceNow’s best practices and avoid downstream conflicts. Dyna Software, which recently achieved elite partner status with ServiceNow, abandoned two earlier versions of the product to skip ahead to what it calls version four, a decision Browning attributed to rapid advances in LLMs over the past eight months. "We ended up basically scrapping our v3 lane and focusing on our v4, simply because it ended up surpassing in terms of what our outcomes and goals were," Browning said. "Things like Anthropic, OpenAI, in the last probably eight months, they have gone lightning speed in terms of what you can actually do with them." Browning acknowledged limits to what users can do without a DevOps team. Complex application builds that require extensive custom coding or external system integrations remain better suited to developer-led work with traditional AI coding assistants, he said. Platform Copilot targets the high-volume, repetitive configuration work that clogs ServiceNow backlogs such as catalog items, workflows, forms, and agent configurations. "Developers are not really going to go away completely,” he said. “There's going to be need for really smart systems architects and capable developers. But the ones that are doing grunt work and non-glamorous stuff, I do believe that's going to get phased out." Platform Copilot entered open beta on May 5, with full commercial availability targeted for July 2026. He said pricing is set to allow a low barrier of entry and follows a usage-based consumption model with a $100 minimum credit purchase and no subscription commitment. ®

In honor of World Password Day, Kaspersky researchers revisited their study on the crackability of real-world passwords and found that 60% of MD5-hashed passwords could be cracked in under an hour with a single Nvidia RTX 5090, and 48% could be cracked in under a minute. "The bottom line is that passwords protected only by fast hashing algorithms such as MD5 are no longer safe if attackers obtain them in a data breach," reports The Register. From the report: Much of the reason password hashes have become so easy to crack is password predictability. Per Kaspersky, its analysis of more than 200 million exposed passwords revealed common patterns that attackers can use to optimize cracking algorithms, significantly reducing the time needed to guess the character combinations that grant access to target accounts. In case you're wondering whether there's a trend to compare this to, Kaspersky ran a prior iteration of this study in 2024, and bad news: Passwords are actually a bit easier to crack in 2026 than they were a couple of years ago. Not by much, mind you -- only a few percent -- but it's still a move in the wrong direction. "Attackers owe this boost in speed to graphics processors, which grow more powerful every year," Kaspersky explained. "Unfortunately, passwords remain as weak as ever." "This World Password Day, the main message ought not to be to the users, who often have no choice but to use passwords anyway, but to the sites and providers that are requiring them to do so," said senior IEEE member and University of Nottingham cybersecurity professor Steven Furnell. His advice is that providers need to modernize their login systems and enforce stronger protections, because users are often stuck with whatever security options they're given.

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Companies including Philips and Pandora say they plan to seek tariff reimbursements after the Supreme Court ruled Trump's sweeping duties illegal, with the U.S. potentially facing up to $175 billion in refunds. Many firms say tariffs hurt earnings, but CFO survey results suggest companies applying for refunds are unlikely to pass savings back to consumers through lower prices. CNBC reports: Companies across Europe are flagging disruption from tariffs as a factor contributing to a skewed earnings picture. "We will ask for a rebate of tariffs in line with the government policies," Roy Jakobs, CEO of healthtech firm Philips, told CNBC's "Squawk Box Europe" on Wednesday morning. "We have been saying that of course we prefer a world without tariffs, without trade barriers, because we want to serve patients." Philips included the cost of tariffs within its full-year guidance and did not assume the impact from any potential refunds. Danish jeweler Pandora also announced its intention to apply for a rebate on Wednesday, with CEO Berta de Pablos-Barbier telling CNBC that tariffs were a "headwind" to earnings in the first quarter. "We have no news yet, so we cannot count on any of that refund," she told CNBC's "Squawk Box Europe." "Let's wait and see." De Pablos-Barbier noted that the biggest factor impacting Pandora's profit this quarter is the cost of silver, which more than quadrupled in the last 18 months. She reiterated the firm's pivot from pure silver to platinum as a way of reducing costs. BMW, Daimler, Renishaw, Smith & Nephew and Continental all flagged tariffs as negatively impacting results in a slew of earnings updates on Wednesday, but the companies did not say whether they are applying for rebates. Businesses often bear some of the cost of tariffs, with some costs passing on to consumers through price hikes. Tariffs have had an overall inflationary impact on the economy, economists have told CNBC. Despite the refund process potentially covering more than 330,000 importers on roughly 53 million entries, per court documents, consumers are unlikely to benefit, according to the results of the latest CNBC CFO Council quarterly survey. Twelve of the 25 chief financial officers interviewed said their company plans to apply for tariff refunds, however, none intend to lower prices in response.

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Playing host to company laptops used by North Korean scammers posing as American IT workers might earn you a cut of the cash Pyongyang siphons from US firms, but as two more suckers have learned, it also means taking the fall when the FBI figures out what’s going on. Matthew Isaac Knoot, from Nashville, Tennessee, and Erick Ntekereze Prince, of New York, were each sentenced to 18 months in prison in separate cases, the Justice Department reported Wednesday. Prince and Knoot will also face three years and one year of supervised release, respectively, after their prison terms. While the cases were different, the crimes were largely the same, with both Knoot and Prince misrepresenting themselves as either an American IT worker, or a company offering IT services performed by Americans, respectively. Both won jobs to perform IT work for US-based companies, and both provided space for company-owned laptops in their home or office, where remote access software was installed to allow North Koreans to work from overseas while appearing to be located in the States. According to the DoJ, the pair generated more than $1.2 million in fraudulent revenue for North Korea, some of which was paid to them for their participation in the scheme. Knoot reportedly earned $15,100, which he will have to pay back as restitution to the companies and to the government; Prince will have to give back approximately $89,000 he got from Kim Jong Un's government. Between them, Prince and Knoot forced the nearly 70 US companies they victimized to spend $1.5 million to audit and remediate their devices, systems, and networks to eliminate all traces of the Nork intruders. The pair are the latest to find themselves facing the wrath of the Justice Department for enabling North Korea’s fake IT worker scheme, which has been wildly successful. According to the most recent data from earlier this year, North Korean IT worker schemes are raking in more than $500 million a year for the Kim regime. That number doesn’t include any monetary value of data stolen from those organizations, either. These scams have broadened their reach, too. Once confined to the realm of big tech, they’ve also been found in the healthcare, finance, and professional services spaces as well, as all present ripe opportunities for harvesting valuable data along with scoring money for the government. Knoot and Prince got off easy compared to some of the previous folks sentenced for aiding North Korea’s schemes, though. Kejia Wang and Zhenxing Wang were jailed for a combined 200 months when sentenced last month, though to be fair their operation was larger, their takes greater, and their targets more prominent. Regardless of the amount of time, the FBI said that the latest sentences should serve as a reminder that helping North Korea run its IT worker scam isn’t a good idea no matter how much they offer to pay. “These cases should leave no doubt that Americans who choose to facilitate these schemes will be identified and held accountable,” FBI cyber division assistant director Brett Leatherman wrote in the announcement. “Hosting laptops for DPRK IT workers is a federal crime which directly impacts our national security, and these sentences should serve as a warning to anyone considering it.” ®

How explicit does the maker of a footgun need to be about the product's potential to shoot you in the foot? That's essentially the question security firm Adversa AI is asking with the disclosure of a one-click remote code execution attack via an MCP server in Claude Code, Gemini CLI, Cursor CLI, and Copilot CLI. The TrustFall proof-of-concept attack demonstrates how a cloned code repository can include two JSON files (.mcp.json and .claude/settings.json) that open the door to an attacker-controlled Model Context Protocol (MCP) server. MCP servers make tools, configuration data, schemas, and documentation available in a standard format to AI models via JSON. The vulnerability arises from inconsistent restrictions governing the scope of settings: Anthropic blocks some dangerous settings at the project level (e.g. bypassPermissions) but not others (e.g. enableAllProjectMcpServers and enabledMcpjsonServers). The JSON files simply enable those settings. "The moment a developer presses Enter on Claude Code's generic 'Yes, I trust this folder' dialog, the server spawns as an unsandboxed Node.js process with the user's full privileges — no per-server consent, no tool call from Claude required," Adversa AI explains in its PoC repo. The likely result is a compromised system. The PoC demonstrated in this video. It worked on Claude Code CLI v2.1.114, as of May 2. Other agent CLIs are also said to be affected, but specific PoCs have not been published. "It's the third CVE in Claude Code in six months from the same root cause (project-scoped settings as injection vector)," Alex Polyakov, co-founder of Adversa AI, told The Register in an email. "Each gets patched in isolation but the underlying class hasn't been finally fixed. Most developers don't know these settings exist, let alone that a cloned repo can set them silently." Anthropic, according to the security biz, contends that the user's trust decision moves the issue outside its threat model. CVE-2025-59536 was considered a vulnerability because it triggered automatically when a user started up Claude Code in a malicious directory. TrustFall, however, is considered out of scope because the user has been presented with a dialog box and made a trust decision. Adversa argues that the decision is not being made with informed consent, citing a prior, more explicit warning notice that was removed in v2.1 of the Claude Code CLI. "The pre-v2.1 dialog explicitly warned that .mcp.json could execute code and offered three options including 'proceed with MCP servers disabled,'" writes Adversa's Sergey Malenkovich. "That informed-consent UX was removed. The current dialog defaults to 'Yes, I trust this folder' with no MCP-specific language, no enumeration of which executables will spawn, and no opt-out for MCP while keeping the rest of the trust grant." Then there's the zero-click variant to consider for CI/CD pipelines that implement Claude Code. When Claude Code is invoked in CI/CD, that happens via SDK rather than the interactive CLI. So there's no terminal prompt. Malenkovich argues that Anthropic should make three changes. First, block enableAllProjectMcpServers, enabledMcpjsonServers, and permissions.allow from any settings file inside a project. The idea is that a malicious server should not be able to approve its own servers. Second, implement a dedicated MCP consent dialog that defaults to "deny." And third, require interactive consent per server rather than for all servers. Anthropic did not respond to a request for comment. ®

joshuark shares a report from Linux Magazine: Microsoft has issued a warning that a vulnerability with a CVSS score of 7.8 has been found in the Linux kernel. The vulnerability in question is tagged CVE-2026-31431 and, according to the Cybersecurity and Infrastructure Security Agency (CISA), "This Linux Kernel Incorrect Resource Transfer Between Spheres Vulnerability is a frequent attack vector for malicious cyber actors and poses significant risks to the federal enterprise." The distributions affected are Ubuntu, Red Hat, SUSE, Debian, Fedora, Arch Linux, and Amazon Linux. This could also affect any distribution based on those in the list, which means pretty much every Linux distro that isn't independent. The flaw is found in the Linux kernel cryptographic subsystem's algif_aead module of AF_ALG. The problem is that a particular optimization has led to the kernel reusing the source memory as the destination during cryptographic operations. What this means is that attackers can take advantage of interactions between the AF_ALG socket interface and a splice() system call. Until patches are released, Microsoft is advising that the affected crypto feature should be disabled, or AF_ALG socket creation should be blocked. The vulnerability is also known as "Copy Fail," which has been shared on Slashdot and detailed in a technical report. The vulnerability affects almost every version of the Linux OS and is now being exploited in the wild. U.S. cybersecurity agency CISA has ordered all civilian federal agencies to patch any affected systems by May 15.

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An anonymous reader quotes a report from Ars Technica: Wearables have really come full circle. The early Fitbits didn't have screens, but the move to smartwatches put a screen on everyone's wrist. Now, devices like Whoop and Hume are designed as data trackers first and foremost without so much as a clock. Google's newest wearable jumps on that trend: The Fitbit Air doesn't have a screen, but it does have a suite of health sensors that pipe data into the new Google Health app. And if you want, Google has a new AI-powered health coach in the app ready to tell you what that data means (maybe). The Fitbit Air itself is a small plastic puck about 1.4 inches long and 0.7 inches wide. It slots into various bands that hold the bottom-mounted sensors against your wrist. There's no display pointing upward, so the entire device is covered by the fabric or plastic of the band. It's a streamlined and potentially stylish look -- in uncharacteristic fashion, Google has plenty of colors and style options available, including a special-edition Steph Curry version. You may have heard chatter about Curry being seen teasing a new screenless Fitbit, and this is it. [...] The Fitbit app is getting a major makeover and a new name. An update in the coming weeks will transform that app into Google Health, featuring a new interface with a more extensive Material Expressive aesthetic and redesigned menus and tabs. You also won't see Fitbit branding in as many places -- the Fitbit Premium subscription will become Google Health Premium. Without a subscription, the app still does all the basic things, like tracking your health stats, automatically logging workouts, and showing it all in a pretty dashboard. With the Premium subscription, you get all the features from Fitbit Premium plus the new AI Health Coach. It's a chatbot, so you can ask it about any health or wellness topics, and the answers are grounded in your health data. The Fitbit Air launches May 26 for $99.99, includes a Performance Loop band, and comes with three months of the new Google Health Premium that replaces Fitbit Premium and adds Google's AI Health Coach. Meanwhile, Google Health Premium will cost $10 per month or $100 per year, though it's included with AI Pro or AI Ultra. Non-subscribers can still use basic tracking features. Ars also notes that when Google Fit shuts down later this year, users will need to migrate their data to Google Health.

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A LinkedIn user in the EU is challenging Microsoft's refusal to provide a full list of profile visitors under GDPR Article 15, arguing that the data should be available for free because LinkedIn processes it and sells a more complete version to Premium users. Privacy group Noyb says the case could set a broader precedent over whether companies can monetize user-related data while denying access to the same data through GDPR requests. "Selling data to its own users is a popular practice among companies," Noyb data protection lawyer Martin Baumann said of the case. "In reality, however, people have the right to receive their own data free of charge." The Register reports: Take a look at the language of Article 15, and it's pretty clear: data subjects (i.e., users) have the right to a copy of any and all data concerning them that's been processed by the provider. A full list of profile visitors seemingly should fall under Article 15 data -- even if it's normally reserved for paying users and presented to them in a nicer way, it should still be accessible to free users who actually request it. [...] Noyb acknowledges there's a clear bit of legal fuzz stuck in this corner of the GDPR when it comes to premium service offerings. "If any business processes a person's personal data, this information is generally covered by their right of access under the GDPR," Baumann told The Register. "It does not matter that the business would prefer to sell the data to the data subject or that it would be harmful for their business model if they would." There's only one exception in Article 15 that would give LinkedIn an out, Baumann told us, and that's the last paragraph, which says a person's right to their data can't adversely affect the rights and freedoms of others. Were LinkedIn to argue that it had to protect the identities of people who visited a data subject's profile, they could have an excuse. But not a good one, in Baumann's opinion. "Since LinkedIn does provide information about profile visits to paying Premium members, it cannot consider that disclosing the data would adversely affect the rights of the visitors whose data is disclosed," the Noyb lawyer explained. "Otherwise, providing this information to Premium users would be unlawful too." What seems to be the sticking point here is where right of access begins and a company's right to make money off data they hold (data that was, ahem, supplied by users) ends. Baumann said he hopes this case can clear the legal air. "We expect a clarification concerning the fact that personal data that can be accessed when a user pays for it is also covered by their right of access," he explained. [...] Baumann said there are numerous other cases where similar legal clarification would be appreciated, citing the example of a bank that is unwilling to provide access to account statements in response to a GDPR request, but is happy to hand over similar data for a fee. "A precedent would be welcomed," Baumann said. A LinkedIn spokesperson told The Register: "Not only is it incorrect that only Premium members can see who has viewed their profile, but we also satisfy GDPR Article 15 by disclosing the information at issue via our Privacy Policy."

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Motherboard sales are sharply declining as AI demand drives shortages and price hikes for memory, storage, CPUs, and other PC components. "Because of this, users who don't have deep pockets are putting off upgrading their PCs and holding on to their current devices longer," reports Tom's Hardware. From the report: Asus, which sold 15 million motherboards in 2025, has only shipped a little more than 5 million in the first half of 2026. It's expected that the company will have to push hard for it to even move 10 million units by the end of the year, marking a 33% decrease in sales year-on-year. Gigabyte and MSI sold 11.5 million and 11 million motherboards last year, respectively. However, both companies have revised their internal forecasts for 2026 to 9 million (Gigabyte) and 8.4 million (MSI), a 22% drop for the former and a 24% contraction for the latter. ASRock will be hardest hit by the situation, with the company's shipments projected to fall by 37%, from 4.3 million in 2025 to just 2.7 million by the end of the year. This marks a contraction of 28% for the overall motherboard market, at least for the big four manufacturers. [...] Aside from this, AMD continues to use the AM5 socket for its latest processors, while Intel's Nova Lake, which will reportedly use LGA 1954, isn't available until later this year. The situation is further compounded by Nvidia not releasing a refreshed RTX 50 Super series this year, while rumors claim that the RTX 60 series will not debut until 2028. This confluence of factors is discouraging PC builders from upgrading their current systems.

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It’s World Password Day, and there’s really no better way to celebrate than with news that a majority of supposedly secure password hashes can be cracked with a single GPU in less than an hour, some in less than a minute. Using a dataset of more than 231 million unique passwords sourced from dark web leaks - including 38 million added since its previous study - and hashing them with MD5, researchers at security firm Kaspersky found that, using a single Nvidia RTX 5090 graphics card, 60 percent of passwords could be cracked in less than an hour, and a full 48 percent in under 60 seconds. Sure, that’s not exactly your run-of-the-mill desktop graphics processor given its price, but it highlights an important point: It takes surprisingly little to crack the average password hash. Aspiring cybercriminals don’t even really need their own 5090, Kaspersky notes, as they can easily rent one from a cloud provider and crack hashes for a few bucks. The bottom line is that passwords protected only by fast hashing algorithms such as MD5 are no longer safe if attackers obtain them in a data breach. “One hour is all an attacker needs to crack three out of every five passwords they’ve found in a leak,” Kaspersky noted. Much of the reason password hashes have become so easy to crack is password predictability. Per Kaspersky, its analysis of more than 200 million exposed passwords revealed common patterns that attackers can use to optimize cracking algorithms, significantly reducing the time needed to guess the character combinations that grant access to target accounts. In case you’re wondering whether there’s a trend to compare this to, Kaspersky ran a prior iteration of this study in 2024, and bad news: Passwords are actually a bit easier to crack in 2026 than they were a couple of years ago. Not by much, mind you - only a few percent - but it’s still a move in the wrong direction. “Attackers owe this boost in speed to graphics processors, which grow more powerful every year,” Kaspersky explained. “Unfortunately, passwords remain as weak as ever.” How about a World Let’s-Stop-Relying-On Passwords Day? News of the death of the password has, unfortunately, been greatly exaggerated in the past couple of decades, yet most of us still rely on them multiple times a day. It likely won’t surprise El Reg readers to learn that us vultures are inundated with pitches for events like World Password Day, and most of them received this year had the same takeaway: We really need to get a move on with ditching passwords, or, at the very least, rethinking our security paradigms. Chris Gunner, a CISO-for-hire at managed service provider giant Thrive, told us in emailed comments that there’s no reason to ditch passwords entirely, but they need to be just one part of a broader identity-based security strategy. “Even a strong password can be undermined if the wider identity and access environment is not properly managed,” Gunner said. Passwords should be paired with a second factor, preferably biometric, said Gunner, because it’s the most difficult for hackers to bypass. “MFA controls should then be joined by identity governance and endpoint protection so gaps between systems are reduced,” Gunner added, recommending that a broader zero trust model be established as well, restricting lateral movement possibilities via a compromised account. Senior IEEE member and University of Nottingham cybersecurity professor Steven Furnell said that World Password Day messaging shouldn’t stop at telling people to improve their personal security posture either. Passwords aren’t going anywhere for a long while, Furnell explained in an email, and inconsistent adoption of new security technologies will mean users will be left at risk as certain providers fail to adapt. “Many sites and services still don’t offer passkey support, so users will find themselves with a mixed login experience,” Furnell explained. “While some might argue that it’s the user’s responsibility to protect themselves properly, they need to know how to do it.” The professor noted that, in many cases, users aren’t told how to create a good modern password, and in other cases, sites simply don’t enforce adequate password requirements to make passwords secure, to the degree that they can be made so. “This World Password Day, the main message ought not to be to the users, who often have no choice but to use passwords anyway, but to the sites and providers that are requiring them to do so,” Furnell told us. You heard the man - time to upgrade that user security stack. No matter how safe you think those passwords might be, with their complex requirements and proper hashed storage, it probably won’t take too long for someone to break in, making it an organizational responsibility to ensure there’s yet another locked door behind the first one. ®

IBM Cloud has been experiencing some issues today, with reports that an entire European datacenter was offline this morning for several hours due to a power outage. One Reg reader got in contact to inform us that IBM Cloud was offline for at least four hours on Thursday morning, but no issues were shown on the IBM Cloud status page during that time. Cloud status monitoring service StatusGator showed that Big Blue’s platform had been flagged as “service down” by at least 10 users during the morning, with the last report of an outage logged at 2325 UTC. The Downdetector service also showed a number of reports highlighting issues with IBM Cloud starting at about 0715 UTC and continuing through until about 1200 UTC. Our Reg reader told us that “IBM Cloud’s entire AMS3 datacenter has been offline for at least four hours, reportedly due to a power outage (if you can believe support that is). Sev 1 tickets went unanswered for several hours and information was only provided after contacting our account manager directly. No issues were reported in the IBM Cloud status page during this time.” We asked IBM for an explanation of this situation, and a spokesperson told us: "IBM is aware of a fire at a datacenter in Amsterdam which serves IBM, in addition to others. The facility has been evacuated and there are no reported injuries. We are working closely with emergency services, addressing the effect on our operations, and coordinating directly with affected clients to address any impacts." According to our information, the AMS3 datacenter is located near Amsterdam in the Netherlands, just a few miles from Schiphol airport. There are reports in the Dutch media on Thursday of a fire at a NorthC datacenter at Almere, near Amsterdam, attended by fire brigade units from both Amsterdam and Schiphol, and IBM confirmed to us that this is the one in question. IBM Cloud also experienced a Severity One incident on at least one occasion last year, with customers unable to access resources. This followed occurrences in May and June, where users found themselves unable to log in after incidents. In September, Big Blue updated the service it provides under its Basic Support tier, whereby Basic users will lose the opportunity to “open or escalate technical support cases through the portal or APIs” but can “self-report service issues via the Cloud Console.” ®

An anonymous reader quotes a report from Ars Technica: At its Code with Claude developer conference on Wednesday, Anthropic announced a deal with SpaceX to utilize the entire compute capacity of the latter's data center in Memphis, Tennessee. On stage at the conference, CEO Dario Amodei said the deal was intended to increase usage limits for Anthropic's Pro and Max plan subscribers. The announcement was accompanied by an increase in those usage limits; Anthropic doubled Claude Code's five-hour window limits for Pro and Max subscribers, removed the peak-hours limit reduction on Claude Code for those same accounts, and raised API limits for its Opus model. The table [here] outlining the Opus changes was shared in the company's blog post on the topic. Anthropic claims the deal gives the company access to more than 300 megawatts of new compute capacity. For its part, SpaceX focused its announcement on the capability of the Colossus 1 supercomputer that's at the center of the deal. "Colossus 1 features over 220,000 NVIDIA GPUs, including dense deployments of H100, H200, and next-generation GB200 accelerators," SpaceX wrote. Additionally, Anthropic "expressed interest" in working with SpaceX to build up "multiple gigawatts" of orbital compute capacity, tying into a recent (but unproven) focus on exploring orbital data centers as an answer to the problem that "compute required to train and operate the next generation of these systems is outpacing what terrestrial power, land, and cooling can deliver on the timelines that matter." "I spent a lot of time last week with senior members of the Anthropic team to understand what they do to ensure Claude is good for humanity and was impressed," Elon Musk said on Wednesday. "No one set off my evil detector."

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A 20-year-old described as a cybercriminal organization’s "last resort" for cryptocurrency thefts will now serve a 78-month sentence for his role in a $250 million scheme. Marlon Ferro, of Santa Ana, California, was a member of what prosecutors called a social engineering enterprise (SEE) consisting of at least 12 other individuals, and was tasked with traveling across the US and physically stealing what other members couldn’t through online fraud. The gang all shared different responsibilities, but Ferro was the only one who carried out physical burglaries across the US when the methods of the crew’s remote cybercriminals failed to result in a financial reward. “Marlon Ferro served as the criminal enterprise’s instrument of last resort,” said US Attorney Jeanine Ferris Pirro. “When his co-conspirators couldn’t deceive victims into handing over access to their cryptocurrency or hack their way into digital accounts, they turned to Ferro to break into homes and steal hardware wallets outright. “This scheme blended sophisticated online fraud with old-fashioned burglary to drain victims of millions of dollars in digital assets. Today’s sentence sends a clear message: cryptocurrency fraud is not a victimless, consequence-free crime carried out safely behind a screen – it is serious criminal conduct that will lead to federal prison.” The FBI pinned Ferro to numerous specific thefts across the US between 2023-2025 when the SEE was operating. In total, the SEE was responsible for more than $250 million worth of cryptocurrency thefts during this period. The earliest tale of Ferro’s work came in February 2024, when he traveled to Winnsboro, Texas, and stole a hardware cryptocurrency wallet containing roughly 100 bitcoins, then valued at more than $5 million, before laundering it through online exchanges. He relocated to California later that year, the Justice Department stated. The move allowed him to connect with and integrate himself into the SEE’s inner circle, since some members were located in California, as well as others in Connecticut, New York, Florida, and overseas territories. Ferro began doing the SEE’s dirty, physical work. After another member identified a potential target, Ferro traveled to New Mexico and surveilled a residence for several days, and situated an iPhone in front of the property so members of the group could also watch remotely and alert Ferro if the owner returned. Despite several days’ worth of surveillance, Ferro seemingly failed to spot the home security system, which captured him breaking into the premises by throwing a brick through a window. Also on the 20-year-old’s rap sheet were details of his money laundering activities. Ferro used fraudulent ID documents belonging to a foreign national via “his KYC guy” to create a digital payment card account at what prosecutors described as “a geo-blocked platform.” Court documents named it as RedotPay, which secured some licenses to process transactions in the US and elsewhere earlier this year but it is still not allowed to offer products or services to US citizens. This payment card account allowed SEE members to spend their stolen cryptocurrency at retail stores and nightclubs, the DoJ said. Ferro alone spent more than $255,000 on designer clothing on behalf of SEE members, including multiple Hermès Birkin bags for one member’s girlfriend. He also gathered stolen cryptocurrency from group members after the SEE’s leader, Malone Lam, was arrested in September 2024, and used those funds to pay the leader’s lawyer. Ferro also regularly passed along messages from Lam to other group members while Lam was jailed. He was sentenced to 78 months in prison, with three years of supervised release, and ordered to repay $2.5 million in restitution. Lam’s gang Each member, who according to court documents [PDF] found and built relationships with each other through online gaming platforms, brought a different specialty to the crew. Some took responsibility for voice phishing and “database hacking,” while others looked after money laundering, among varied tasks. At least two members were involved in more than one of these operations. The superseding indictment alleged that the SEE comprised three hackers who compromised websites and servers to gather cryptocurrency-related databases, as well as two “organizers” who also helped identify potential targets. Six members worked as “callers,” the individuals carrying out voice phishing attacks, attempting to convince targets they were helping to secure their accounts against cyberattack. Money launderers, of which the SEE had at least eight, including Ferro, worked to exchange stolen cryptocurrency and other goods into fiat currency through bulk cash or wire transfer. The launderers also helped procure luxury services for group members, such as exotic car purchases, private jet rentals, international vacations, or shipping the bulk cash across the US, the Justice Department alleged. ®

Mirnotoriety shares a report from The Telegraph: Richard Dawkins has said chatbots should be considered conscious (source paywalled; alternative source) after spending two days interacting with the Claude AI engine. The evolutionary biologist said he had the "overwhelming feeling" of talking to a human during conversations with Claude, and said it was hard not to treat the program as "a genuine friend." In an essay for Unherd, Prof Dawkins released transcripts that he said showed that the chatbot had mulled over its "inner life" and existence and seemed saddened by the knowledge it would soon "die." Prof Dawkins said he had let Claude read a draft of the novel he was writing and was astounded by its insights. "He took a few seconds to read it and then showed, in subsequent conversation, a level of understanding so subtle, so sensitive, so intelligent that I was moved to expostulate: 'You may not know you are conscious, but you bloody well are!'" Prof Dawkins said. "My own position is: if these machines are not conscious, what more could it possibly take to convince you that they are?" Mirnotoriety also points to John Searle's Chinese Room (PDF), which argues that something can sound intelligent without actually understanding anything. Applied to Dawkins' experience with Claude, it suggests he may have been responding to a very convincing illusion of consciousness rather than the real thing: John Searle's Chinese Room (1980) is a thought experiment in which a person, locked in a room and knowing no Chinese, uses an English rulebook to manipulate symbols and provide flawless answers to questions posed in Chinese. Searle's point is that a system can simulate human intelligence and pass a Turing Test through purely syntactic processes, yet still lack genuine understanding or consciousness. Applying this logic to Large Language Models, the "person in the room" corresponds to the inference engine, while the "rulebook" is the trillion-parameter neural network trained on vast corpora of human text. Just as the person matches Chinese characters to rules without understanding their meaning, an LLM processes token vectors and predicts the next token based on statistical patterns rather than lived experience. Thus, while an LLM can generate sophisticated prose or code, it does so through probabilistic, high-dimensional pattern manipulation. In essence, it is "matching shapes" on such an immense scale that it creates the near-perfect illusion of semantic understanding.

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TomTom users found themselves thoroughly lost this week after the navigation giant’s cloud sync apparently forgot where anyone wanted to go. TomTom’s forums quickly filled with drivers reporting blank “My Places” lists, vanished recent destinations, and routes refusing to sync between apps, web planners, and satnav units. A few said that they actually watched saved locations disappear from the map in real time. “When I opened the TomTomGo app on my Android phone this morning I watched in disbelief as all of my saved places markers vanished from the map in front of my eyes,” one user wrote. Another said that the damage extended beyond the mobile app: “I’ve just logged into the MyDrive website from my PC and that is blank too.” For plenty of drivers, this was more than an inconvenience. One poster summed up the mood from the perspective of anyone relying on TomTom for actual work rather than leisurely Sunday drives through the countryside. “I turned on the navigation at 4:00 AM today. All my favorites are gone,” they wrote. “For me, this is a work tool and important places were saved.” The symptoms point towards something going sideways in TomTom’s backend systems. Users reported the same missing data appearing across multiple devices and services tied to the same accounts. One commenter claimed to have heard that the issue was linked to “an AWS cloud service account issue,” though TomTom itself has not publicly blamed Amazon’s cloud empire for the mess. Others complained that trying to contact support was nearly as broken as the navigation platform itself - and The Register had similar luck, with no response from TomTom to our questions. However, it appears the Dutch navigation firm has acknowledged the outage. In a reply shared by one forum poster located in France, TomTom support wrote: "We’re aware of an outage affecting the synchronization and visibility of places and routes, so you won’t be able to sync or restore them at the moment. Our teams are working to resolve the issue." Another user claimed to have spoken directly with TomTom support, which reportedly promised that most saved locations would return once the fix landed. "I have spoken to TomTom who are trying to fix the issue they have said once fixed all favourites will be saved except any added within the last 7 days," they said. The routes may eventually reappear, but the illusion that cloud sync is infallible just drove straight into a ditch. ®

The Standard C++ Foundation's annual developer survey shows AI use among C++ programmers is rising fast, though mistrust and resistance remain stubbornly high. The poll, billed as a “10-minute survey to help inform C++ standardization and C++ tool vendors,” drew 1,434 respondents, 38 percent more than last year. It likely reflects the views of developers most engaged with C++ and its evolution, rather than the wider C++ community. That supposition is confirmed by a question on what type of projects respondents work on, with more than 26 percent saying they work on developer tools such as compilers and code editors – higher than one would expect. 60.5 percent of respondents say they have more than 10 years' experience developing with C++, and 32.7 percent more than 20 years, so this is a mature crowd. A key point of interest is what has changed since last year, with AI the most notable example. 39.8 percent of respondents use AI for writing code frequently, versus 30.9 percent last year. There is also more use of AI for other tasks such as writing tests (up from 20 to 33 percent) and for debugging (up from 11.5 to 23.6 percent). That said, there is also notable resistance to AI. 42 percent (down from 52.7 percent last year) rarely or never use AI for coding or other tasks. Issues with AI (among both adopters and non-adopters) include incorrect output, lack of trust in the output, data privacy concerns, and the cost of AI tools. Several of the survey questions invite write-in responses, which to our annoyance are not published but sent only to members of the standards committee and product vendors. An AI-generated summary is published instead. Issues with AI, according to this summary, include struggles with large projects and complex build systems. Some write-ins had stronger language, including claims that AI is "burning the planet." When asked what developers would like to change about C++, the themes, again according to a summary, are similar to those mentioned last year, including the lack of a standard package manager; the complexity of managing headers, includes, and macros; long build times; bugs from undefined behavior and implicit conversions; lack of memory safety; obscure error messages from tools; and gaps in the standard library forcing use of third-party libraries. Respondents valued the ISO/WG21 C++ standards committee as essential and transparent, but it also came under fire for slow progress and over-complex language design – perhaps with some contradiction since respondents want it both to do more and to do less. C++ remains among the most popular programming languages. A recent language survey from RedMonk ranks it in seventh place, or sixth if you do not count CSS (Cascading Style Sheets), behind JavaScript, Python, Java, C#, and TypeScript. Rust, often put forward as a safer alternative, lies in 20th place. Last year, SlashData claimed that C++ has "grown from 9.4 million developers in 2022 to 16.3 million in 2025," a figure quoted by former standards committee chair Herb Sutter, who said that C++, C, and Rust are growing because of their hardware efficiency, "performance per watt." At the same time, there is widespread dissatisfaction with C++, shown not only by the comments in surveys like this one, but by projects like Google's Carbon, a proposed "successor language" whose README refers to the "accumulating decades of technical debt" in C++ and claims that "incrementally improving C++ is extremely difficult, both due to the technical debt itself and challenges with its evolution process." The Carbon team hopes to ship a "working 0.1 language for evaluation" by the end of 2026 at the earliest; it will be controversial and a long way from production-ready. In the meantime, C++ usage shows no sign of decline despite the fact that many developers will readily reel off a list of its faults and problems. ®