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Cybersecurity researchers have discovered a new supply chain attack in which legitimate packages on npm and the Python Package Index (PyPI) repository have been compromised to push malicious versions to facilitate wallet credential theft and remote code execution. The compromised versions of the two packages are listed below - @dydxprotocol/v4-client-js (npm) - 3.4.1, 1.22.1, 1.15.2, 1.0.31  dydx-v4-client (PyPI) - 1.1.5post1 "The @dydxprotocol/v4-client-js (npm) and dydx-v4-client (PyPI) packages provide developers with tools to interact with the dYdX v4 protocol, including transaction signing, order placement, and wallet management," Socket security researcher Kush Pandya noted. "Applications using these packages handle sensitive cryptocurrency operations." dYdX is a non-custodial, decentralized cryptocurrency exchange for trading margin and perpetual swaps, while allowing users to retain full control over their assets. On its website, the DeFi exchang...

Artificial intelligence (AI) company Anthropic revealed that its latest large language model (LLM), Claude Opus 4.6, has found more than 500 previously unknown high-severity security flaws in open-source libraries, including Ghostscript , OpenSC , and CGIF . Claude Opus 4.6, which was launched Thursday, comes with improved coding skills, including code review and debugging capabilities, along with enhancements to tasks like financial analyses, research, and document creation. Stating that the model is "notably better" at discovering high-severity vulnerabilities without requiring any task-specific tooling, custom scaffolding, or specialized prompting, Anthropic said it is putting it to use to find and help fix vulnerabilities in open-source software. "Opus 4.6 reads and reasons about code the way a human researcher would—looking at past fixes to find similar bugs that weren't addressed, spotting patterns that tend to cause problems, or understanding a piece of...

The distributed denial-of-service ( DDoS ) botnet known as AISURU/Kimwolf has been attributed to a record-setting attack that peaked at 31.4 Terabits per second (Tbps) and lasted only 35 seconds. Cloudflare, which automatically detected and mitigated the activity, said it's part of a growing number of hyper-volumetric HTTP DDoS attacks mounted by the botnet in the fourth quarter of 2025. The attack took place in November 2025. AISURU/Kimwolf has also been linked to another DDoS campaign codenamed The Night Before Christmas that commenced on December 19, 2025. Per Cloudflare, the average size of the hyper-volumetric DDoS attacks during the campaign was 3 billion packets per second (Bpps), 4 Tbps, and 54 million requests per second (Mrps), with the maximum rates touching 9 Bpps, 24 Tbps, and 205 Mrps. "DDoS attacks surged by 121% in 2025, reaching an average of 5,376 attacks automatically mitigated every hour," Cloudflare's Omer Yoachimik and Jorge Pacheco said. ...

This week didn’t produce one big headline. It produced many small signals — the kind that quietly shape what attacks will look like next. Researchers tracked intrusions that start in ordinary places: developer workflows, remote tools, cloud access, identity paths, and even routine user actions. Nothing looked dramatic on the surface. That’s the point. Entry is becoming less visible while impact scales later. Several findings also show how attackers are industrializing their work — shared infrastructure, repeatable playbooks, rented access, and affiliate-style ecosystems. Operations are no longer isolated campaigns. They run more like services. This edition pulls those fragments together — short, precise updates that show where techniques are maturing, where exposure is widening, and what patterns are forming behind the noise. Startup espionage expansion Operation Nomad Leopard Targets Afghanistan In a sign that the threat actor has moved beyond government targets, th...

Today’s “AI everywhere” reality is woven into everyday workflows across the enterprise, embedded in SaaS platforms, browsers, copilots, extensions, and a rapidly expanding universe of shadow tools that appear faster than security teams can track. Yet most organizations still rely on legacy controls that operate far away from where AI interactions actually occur. The result is a widening governance gap where AI usage grows exponentially, but visibility and control do not.  With AI becoming central to productivity, enterprises face a new challenge: enabling the business to innovate while maintaining governance, compliance, and security.  A new Buyer’s Guide for AI Usage Control argues that enterprises have fundamentally misunderstood where AI risk lives. Discovering AI Usage and Eliminating ‘Shadow’ AI will also be discussed in an upcoming virtual lunch and learn .  The surprising truth is that AI security isn’t a data problem or an app problem. It’s an interaction pro...