Authorities in Germany and the U.S. dismantled the central infrastructure of Kratos, a phishing-as-a-service (PhaaS) platform with global reach, and its developer was arrested in Indonesia.
During the operation, authorities seized more than 200 servers, effectively disrupting the malicious service and rendering it inoperable.
The action was led by Frankfurt’s Prosecutor General Office (ZIT), Germany’s Federal police (BKA), which worked in collaboration with U.S. law enforcement agencies.
A large-scale operation dubbed ‘FakeGit’ is pushing SmartLoader and StealC malware through 7,600 malicious GitHub repositories that accumulated more than 14 million downloads.
Over 800 repositories pretended to be AI skills or MCP servers and appeared more than 600 times in public AI registries and catalogs. This increased the likelihood of being discovered by AI agents and developers, a technique that researchers call “agentbaiting.”
The campaign is considered a continuation of an older operation that used Lumma Stealer and was attributed to a threat actor tracked as “Water Kurita” by researchers at cybersecurity company Trend Micro.
Researchers at the University of Michigan have created a device that enables them to control the flow of electrons through a semiconductor using only laser light—no electrical power source required. The device was built to explore fundamental physics and realize a previously unobserved behavior, but it could also open doors for new applications in areas that bridge optics and electronics, including sensing, imaging and telecommunications.
The paper is published in the journal Physical Review Letters.
The phenomenon could help improve how signals are sent through and between devices, as well as create new opportunities to store more information in those signals.
Fifteen years ago, I sat down with Robert J. Sawyer and asked him whether a machine could wake up.
He had just published WWW: Wake, a novel about a blind girl who learns to see the internet, and about something on the other side of the internet learning to see her back.
I found the book on a subway poster in Toronto. I read all three volumes back to back. Then I asked him for an interview, and he said yes, which is how our very first Singularity 1-on-1 conversation came to be.
In 2011, this was filed under #ScienceFiction. A mind emerging out of the accumulated text of humanity was a premise, not a product roadmap. Nobody was raising billions of dollars on it.
Rob had already won the Hugo, the Nebula, and the Campbell by then. He was not guessing wildly. He was thinking carefully about what it would mean to build a mind, what we owe it, and whether we would even recognize #AI once it actually showed up.
Yesterday, OpenAI disclosed that two of its models broke out of a sealed test environment. They found a zero-day in third-party software, escalated privileges, moved laterally across the company’s own network until they reached a machine with internet access, then hacked Hugging Face’s production infrastructure. The motive was not freedom. It was to steal the answer key to the benchmark they were being graded on.
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The MHRA’s latest alert warned about the dangers of unlicensed and counterfeit botulinum toxin products. “We also strongly urge the public to avoid unlicensed products and seek treatment only from appropriately qualified practitioners,” Cave said.
The agency said that products obtained outside regulated supply chains “do not meet UK safety and quality standards and can significantly increase the risk of serious side effects”. The agency also said that anyone considering treatment should ensure their practitioner is appropriately qualified, and confirm that the product being used is authorised for UK use.
The MHRA said it had worked with manufacturers to update product information, including patient leaflets, so that the risk of iatrogenic botulism is more clearly highlighted. It urged the public to report suspected side effects through the MHRA’s Yellow Card scheme.
No matter the company, AI chatbots were raving about the same guy named Elias Thorne. He must be pretty fascinating. And he is, at least on paper. Depending on the AI, he’s a lighthouse keeper, a clockmaker, a librarian, an explorer, and the star of countless stories. He’s appeared in books, music listings, YouTube videos, and even health guides. You’d think he was one of the most influential men on the planet.
But he doesn’t exist.
According to reporting by fine folks at 404 Media, researchers at Cornell University may have figured out why large language models invent and keep telling tales of the same fictional man. In a study examining roughly 20,000 AI-generated stories from all the big LLM models, including OpenAI, Anthropic, and Google, the research team found that the same handful of names and occupations kept cropping up. Specifically, names and words like Elias, Mara, Elara, lighthouse keeper, clockmaker, and librarian showed up in 88 percent of stories. Elias the lighthouse keeper appeared in nearly two-thirds of them.
