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Microsoft Says 394,000 Windows Computers Infected By Lumma Malware Globally

An anonymous reader quotes a report from CNBC: Microsoft said Wednesday that it broke down the Lumma Stealer malware project with the help of law enforcement officials across the globe. The tech giant said in a blog post that its digital crimes unit discovered more than 394,000 Windows computers were infected by the Lumma malware worldwide between March 16 through May 16. The Lumma malware was a favorite hacking tool used by bad actors, Microsoft said in the post. Hackers used the malware to steal passwords, credit cards, bank accounts and cryptocurrency wallets. Microsoft said its digital crimes unit was able to dismantle the web domains underpinning Lumma's infrastructure with the help of a court order from the U.S. District Court for the Northern District of Georgia. The U.S. Department of Justice then took control of Lumma's "central command structure" and squashed the online marketplaces where bad actors purchased the malware. The cybercrime control center of Japan "facilitated the suspension of locally based Lumma infrastructure," the blog post said. "Working with law enforcement and industry partners, we have severed communications between the malicious tool and victims," Microsoft said in the post. "Moreover, more than 1,300 domains seized by or transferred to Microsoft, including 300 domains actioned by law enforcement with the support of Europol, will be redirected to Microsoft sinkholes." Cloudflare, Bitsight and Lumen also helped break down the Lumma malware ecosystem.

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AI Set To Consume Electricity Equivalent To 22% of US Homes By 2028, New Analysis Says

New analysis by MIT Technology Review reveals AI's rapidly growing energy demands, with data centers expected to triple their share of US electricity consumption from 4.4% to 12% by 2028. According to Lawrence Berkeley National Laboratory projections, AI alone could soon consume electricity equivalent to 22% of all US households annually, driven primarily by inference operations that represent 80-90% of AI's computing power. The carbon intensity of electricity used by data centers is 48% higher than the US average, researchers found, as facilities increasingly turn to dirtier energy sources like natural gas to meet immediate needs. Tech giants are racing to secure unprecedented energy resources: OpenAI and President Trump announced a $500 billion Stargate initiative, Apple plans to spend $500 billion on manufacturing and data centers, and Google expects to invest $75 billion in AI infrastructure in 2025 alone. Despite their massive energy ambitions, leading AI companies remain largely silent about their per-query energy consumption, leaving researchers struggling to assemble what one expert called "a total black box."

Read more of this story at Slashdot.