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23 Sep 2026 7:26am GMT

Microsoft's security blog describes the fight against a new "AI-powered cybercrime platform" offering phishing-as-a-service, with AI-tailored lures and analyses of compromised inboxes (to identify high-value targets). The site compromised more than 12,000 inboxes in over 10,000 organizations around the world, compromising business accounts "at scale" with automated attacks and prebuilt phishing templates. AI tools could even sift through a victim's mailbox to help engineer better phishing messages. To disrupt EvilTokens Microsoft worked with other organizations, including Cloudflare, Coinbase, OpenAI, Railway, SpyCloud, Shadowserver Foundation, and TRM Labs to Health-ISAC (a non-profit helping health sector organizations share cyber threat information). "Fifty sites seized and 150 domains disabled in a single action is only possible when the hosting providers, the exchanges, the model providers and the data holders all move at the same time," security company SpyCloud told The Hacker News. From Microsoft's security blog: Microsoft also notified affected customers, helped remediate compromised accounts, and shared intelligence to support further defensive and investigative action... Microsoft worked closely with specialist officers from the Metropolitan Police Service's cybercrime team, sharing intelligence that enabled officers to take operational action in the United Kingdom. On September 11, 2026, officers arrested two men, aged 32 and 38, and seized digital devices and other items for examination... While EvilTokens used AI to identify targets and prioritize fraud opportunities, Microsoft investigators used reverse engineering and AI-powered tools to analyze evidence, accelerate the investigation, and identify the infrastructure supporting the service... Campaigns leveraging EvilTokens have impacted organizations in various industries, including wholesale distribution, construction, financial services, real estate, higher education, and healthcare, with the highest concentrations of observed victim activity in the United States, Canada, the United Kingdom, Australia, India, and France. Working with partners, Microsoft's Digital Crimes Unit (DCU) facilitated a coordinated disruption of infrastructure used to operate the EvilTokens service. Sometimes stolen tokens were used to give new devices access to a victim's inbox. (A code authenticating the new device was sent to the targeted user, who unknowingly authorize the threat actor's session and grants access to their account...) But "AI was not simply helping attackers write more convincing messages," says another Microsoft blog post. "It helped them decide who to target, who to impersonate, and how to most effectively exploit the relationship to extract as much money as possible." The significance of EvilTokens extends beyond its rapid growth and global reach. It offers an early warning of what happens when cybercriminals combine stolen access with AI capable of understanding how an organization works... Its AI tools could summarize and translate emails, surface financial conversations, map organizational roles, identify trusted relationships, and recommend potential targets. Preset prompts offered to find wire-transfer discussions, identify the organization's "money movers," locate vendor invoices, and determine the best people to impersonate. Sold through Telegram for a $1,500 initiation fee and a recurring $500 subscription, EvilTokens combined account compromise, mailbox analysis, target selection, and fraud preparation in a single service. Capabilities that once required experience across identity attacks, cloud systems, social engineering, and financial fraud were available through a ready-made interface. Investigators found evidence that large portions of EvilTokens had been "vibe coded," with AI helping its creators build the platform itself. They also determined that EvilTokens drew on capabilities from multiple AI models. The result was more than a collection of attack tools. EvilTokens packaged much of the fraud process into a commercially run service, complete with subscription pricing, customer support, management dashboards, and tools designed to move customers from account access toward financial exploitation.

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23 Sep 2026 7:04am GMT

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23 Sep 2026 4:00am GMT

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23 Sep 2026 3:49am GMT

U.S. President Trump addressed the United Nations on Tuesday. And a half hour in, after decrying immigration, Trump pivoted to add that "The United States also totally rejects any attempt to construct a globalist scheme to control for the artificial intelligence being spoken of so much now." But then he added "hereinafter officially called super intelligence, changing the name, in that the use of the word artificial makes intelligence fake. It makes it sound fake, and it is not fake. It's actually... amazing. But we have to be careful - in fact, it is exactly the opposite of what it purports. From this point forward, all of United States documents and hopefully the world's will be changed to use the much more accurate term super as opposed to artificial. So it's super intelligence." TRUMP: In other words, welcome to the new world of super intelligence - SI. SI. Let's see if that goes. It sounds much better. It is much better, and it's much more accurate. Let's see if I have any power. Maybe I do and maybe I don't. We're going to find out pretty soon. Super intelligence. Every major new technology brings challenges, and super intelligence is no exception. Yet the very same people who said we'll all be dead in 12 years because of global warming, a name since reborn to climate change because the planet was cooling not warming, and nobody was dead - these are the same people that are now saying that AI is going to kill us all. That robots are going to attack us, and that everything is going to be a total disaster - same group of people. This is the group that came up with the Russia Russia Russia hoax, the Ukraine Ukraine Ukraine hoax. Climate change, open borders. Whoever wins AI - you have to remember this - and now I say, whoever wins SI, whoever wins super intelligent [sic] - wins. That's the group that wins. And we're leading now over China by a lot, and everyone else, and we're going to keep it that way. We're going to keep it very - very straight and very strong. I'm not going to stifle growth of something that will be bigger than the Industrial Revolution. Many say, bigger than the Industrial Revolution or the internet itself. And we will be very careful, and that's why we have a Department of Justice that we've already used it, having to do with this very subject, and used it very powerfully. Everything worked out very well and very quickly. And other law enforcement bodies that will rein things in if we have to do that. But we will only encourage super intelligence. We're gonna encourage it, not rein it in. We're gonna watch it closely, through the Department of Justice. The United States leads the world in Super Intelligence, and will continue to do so, safely and responsibly. Thanks to long-time Slashdot reader ArchieBunker for suggesting the story.

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23 Sep 2026 2:34am GMT

On academic mentoring platform Nova Learning, Computer Science and AI, "once the dominant choice among students... is losing ground fast, while Engineering has nearly doubled its share." It's a small survey, but "The steepest proportional decline is in Software & Data Science, the most traditional 'learn to code' pathway, which lost 44% of its 2025 share. AI saw the largest absolute drop of any single subject in the survey, down 6.2 points. "The category did not decline uniformly. Students moved away fastest from the pathway most associated with entry-level software work, while the more applied and human-facing subfields held their ground better." Slashdot reader BrianFagioli writes: Nova Learning says the share of surveyed middle and high school students naming Computer Science and AI as their primary academic interest fell from 42.3 percent in 2025 to 27.9 percent in 2026, while Engineering rose from 11.9 percent to 23 percent. The biggest gains came from Mechanical and Aerospace Engineering... [B]roader enrollment data points in the same direction. The National Student Clearinghouse Research Center reported declines in Computer and Information Science enrollment at four year institutions, even as Engineering grew. AI coding tools are not proven to be the cause, but as software development changes and AI handles more coding tasks, students may be starting to rethink what a future in technology should look like. [Undergraduate enrollment in CS programs at four-year institutions fell 8.1%, to approximately 606,000 students.]

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22 Sep 2026 10:04pm GMT

There is no single definitive test for these worms, but the tail is fairly convincing.

22 Sep 2026 9:42pm GMT

The frontier AI model race has entered its comparison shopping phase.

22 Sep 2026 9:25pm GMT

Cities defend permit requirements, say ISPs aren't building networks fast enough.

22 Sep 2026 8:38pm GMT

KDE's 2026-2028 goals include stronger enterprise support, consolidated documentation, and a unified styling system.

22 Sep 2026 6:30pm GMT

NetBSD 10.2 is out as the second point release in the 10.x stable series, adding new Ethernet, VMware, ARM, and security improvements.

22 Sep 2026 3:49pm GMT

Systemd 262 is now available with static PID 1 builds for small containers, Intel TDX support, TPM improvements, and updated service management features.

22 Sep 2026 2:12pm GMT