A fake VS Code extension posing as a Moltbot AI assistant installed ScreenConnect malware, giving attackers persistent remote access to developer syst
Category: robotics/AI – Page 5
Initial access hackers switch to Tsundere Bot for ransomware attacks
A prolific initial access broker tracked as TA584 has been observed using the Tsundere Bot alongside XWorm remote access trojan to gain network access that could lead to ransomware attacks.
Proofpoint researchers have been tracking TA584’s activity since 2020 and say that the threat actor has significantly increased its operations recently, introducing a continuous attack chain that undermines static detection.
Tsundere Bot was first documented by Kaspersky last year and attributed to a Russian-speaking operator with links to the 123 Stealer malware.
New sandbox escape flaw exposes n8n instances to RCE attacks
Two vulnerabilities in the n8n workflow automation platform could allow attackers to fully compromise affected instances, access sensitive data, and execute arbitrary code on the underlying host.
Identified as CVE-2026–1470 and CVE-2026–0863, the vulnerabilities were discovered and reported by researchers at DevSecOps company JFrog.
Despite requiring authentication, CVE-2026–1470 received a critical severity score of 9.9 out of 10. JFrog explained that the critical rating was due to arbitrary code execution occurring in n8n’s main node, which allows complete control over the n8n instance.
Wave of Suicides Hits as India’s Economy Is Ravaged by AI
As Rest of World reports, rising anxiety over the influence of AI, on top of already-grueling 90-hour workweeks, has proven devastating for workers. While it’s hard to single out a definitive cause, a troubling wave of suicides among tech workers highlights these unsustainable conditions.
Complicating the picture is a lack of clear government data on the tragic deaths. While it’s impossible to tell whether they are more prevalent among IT workers, experts told Rest of World that the mental health situation in the tech industry is nonetheless “very alarming.”
The prospect of AI making their careers redundant is a major stressor, with tech workers facing a “huge uncertainty about their jobs,” as Indian Institute of Technology Kharagpur senior professor of computer science and engineering Jayanta Mukhopadhyay told Rest of World.
Deep-learning algorithms enhance mutation detection in cancer and RNA sequencing
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic mutation detection in cancer diagnostics and RNA-based genomic studies.
The pioneering research team, led by Professor Ruibang Luo from the School of Computing and Data Science, Faculty of Engineering, has unveiled two groundbreaking deep-learning algorithms—ClairS-TO and Clair3-RNA—set to revolutionize genetic analysis in both clinical and research settings.
Leveraging long-read sequencing technologies, these tools significantly improve the accuracy of detecting genetic mutations in complex samples, opening new horizons for precision medicine and genomic discovery. Both research articles have been published in Nature Communications.
Radiowaves enable energy-efficient AI on edge devices without heavy hardware
As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world’s decision-making is occurring autonomously on the edge—on the small devices that gather information at the ends of much larger networks.
But making that shift to edge computing is harder than it seems. Although artificial intelligence (AI) models continue to grow larger and smarter, the hardware inside these devices remains tiny.
Engineers typically have two options, neither are ideal. Storing an entire AI model on the device requires significant memory, data movement and computing power that drains batteries. Offloading the model to the cloud avoids those hardware constraints, but the back-and-forth introduces lag, burns energy and presents security risks.
Are Space Elevators Still a Thing for the Future?
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It’s been an idea that has been around since 1895 but only since the 1960s that it was taken seriously. But the biggest issue is how to make a cable over 36,000km that is light enough and strong enough. We now have the ability to make the materials but can we make them long enough to make it a reality, find out in today’s video.
Written, researched and presented by Paul Shillito.
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Powering AI from space, at scale, with a passive tether design
Penn Engineers have developed a novel design for solar-powered data centers that will orbit Earth and could realistically scale to meet the growing demand for AI computing while reducing the environmental impact of data centers.
Reminiscent of a leafy plant, with multiple, hardware-containing stems connected to branching, leaf-like solar panels, the design leverages decades of research on “tethers,” rope-like cables that naturally orient themselves under the competing forces of gravity and centrifugal motion. This architecture could scale to the thousands of computing nodes needed to replicate the power of terrestrial data centers, at least for AI inference, the process of querying tools like ChatGPT after their training concludes.
Unlike prior designs, which typically require constant adjustments to keep solar panels pointed toward the sun, the new system is largely passive, its orientation maintained by natural forces acting on objects in orbit. By relying on these stabilizing effects, the design reduces weight, power consumption, and overall complexity, making large-scale deployment more feasible.