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Nearly 800 Malicious npm Packages Deliver CrossPlatform RAT and Infostealer

A cluster of nearly 800 malicious packages has been published to the npm registry as part of a new campaign designed to deliver cross-platform malware targeting Windows, Mac, and Linux systems.

“These packages appear to use AI slop squatted, or randomly generated typo-squatting package names, but all of them deliver a powerful RAT and infostealer payload,” OpenSourceMalware researcher Paul McCarty said.

Unlike other npm-oriented software supply chain attacks that make use of lifecycle hooks like preinstall or postinstall to trigger the execution of malicious code, the newly identified packages come with a README that instructs developers to load them with require, a built-in function to import modules, local files, and third-party packages.

Real emails, hijacked payments: Two H1 2026 attack chains

Address books or allowlists reduce repeated manual entry, while first-time or changed destinations deserve a full comparison rather than a check of only the opening and closing characters.

In both campaigns, the first trust decision could look legitimate while the surrounding workflow had already been changed. Detection and verification need to cover the steps between the authenticated email, the copied value and the final action.

Gen’s H1 2026 Threat Report covers the broader picture across scams, malware, identity exposure, privacy and AI-driven attacks.

The Dark Data IIoT Opportunity Is Hiding In Files You Already Own

The dark data opportunity in iiot that most manufacturers are missing.

You’ve already collected years of logs, reports, PDFs, maintenance records, and unstructured files — but most of it sits unused.

This “dark data” represents a massive hidden opportunity for predictive maintenance, process optimization, and quality improvements — often with faster ROI than deploying more sensors.

The challenge is turning messy, unlabeled archives into usable training data for AI.

The companies winning in 2026 will combine new IIoT streams with smart extraction from the data they already own.

Full analysis: [ https://creedtec.online/the-dark-data-iiot-opportunity-is-hi…ready-own/](https://creedtec.online/the-dark-data-iiot-opportunity-is-hi…ready-own/)

#IndustrialIoT #DarkData #IIoT #SmartFactory

Scientists May Have Reversed One Cause of Aging | MOONSHOTS

A new longevity breakthrough could change how scientists think about aging.

This discussion explores why discoveries like these could reshape the future of healthy aging.

This clip is from the following episode: • Mira Murati’s 975B Open Model, Ramin Hasan…

Recorded on July 16, 2026
Views are my own thoughts; not Financial, Medical, or Legal Advice.

Ramin hasani is the co-founder and CEO of liquid AI

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AIAssisted HTTP Terminator Finds Novel HTTP Desync Techniques and Apache ZeroDay

PortSwigger says HTTP Terminator, an artificial intelligence (AI)-assisted research system built by James Kettle, generated and proved new HTTP desynchronization techniques after exploring 30,000 candidate desync vectors.

PortSwigger said a separate human-guided discovery cascade also exposed a zero-day in Apache Traffic Server. Kettle said HTTP Terminator tested 30,000 websites where scanning was authorized through bug bounty or vulnerability disclosure programs and found roughly 700 vulnerable targets before deeper validation and RQP research.

Kettle said those findings involved banks, government infrastructure, security products, and an airport.

AI and ‘Ramanomics’ could eliminate a major obstacle to studying living cells

Fluorescent dyes have long been used in biological research to identify and visualize structures within living cells. Although effective, they have several drawbacks, including altering the cells under study, limiting the number of structures that can be examined at once and reducing measurement accuracy.

A team led by University at Buffalo researchers has developed a new method that draws on advances in artificial intelligence and Raman spectroscopy to overcome the limitations of dye-based imaging.

The approach combines AI with “Ramanomics,” a UB-pioneered optical technology that measures the biochemical makeup of cells without altering them. Rather than relying on fluorescent labels, which are dyes that bind to specific cellular components and glow under specialized lighting, it identifies cellular structures by their unique biochemical signatures.

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