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StopAndProtect Uses Nearly 2,000 Hacked WordPress Sites to Spread Malware and Steal Data

Cybersecurity researchers have flagged a global cybercrime operation that abuses thousands of hacked WordPress websites as infrastructure to disseminate malware, commandeer infected hosts, store stolen documents, screenshots, and activity logs created to track the status of the activity.

“The operation doesn’t rely on a single piece of malware, but on a whole toolkit of criminal software working together – some components encrypt files, others silently steal documents or lock the screen, and another acts as a live chat between the attackers and their victims,” Check Point Research’s Jaromír Hořejší said.

The large-scale campaign is being tracked by the cybersecurity company under the moniker StopAndProtect after discovering a ransomware family of the same name in mid-May 2026. The infection chain begins with a ClickFix social engineering attack, resulting in the execution of a PowerShell command that leads to the deployment of additional. NET downloaders and loaders.

How Anthropic plans to watermark Claude’s AI-generated text

It could soon become easier to identify AI-generated content, even if it’s not the usual “It’s Not X, it’s Y” type of post you’d come across on LinkedIn and other socials.

As you may be aware, the EU now requires AI companies serving its market to mark their AI-generated content so it’s easier to identify.

Anthropic and several other major AI providers have agreed to comply with the EU’s Code of Practice, with Anthropic becoming one of the first companies to share details about how it will implement watermarking across Claude.

Industrial Robot Installations Hit A Record 542,000 Units As Buyers Split Into Two Camps

Global industrial robot installations reached a record 542,000 units in 2024, more than double the figure from a decade earlier, with the International Federation of Robotics valuing those installations at a record $16.7 billion. The headline number hides a sharper split: buyers and investors are separating vendors that are still validating their technology from vendors proving they can deploy it, get paid for it, and repeat the process at scale.

Industrial robot installations just posted their strongest year on record, and the number alone tells only half the story. Global installations reached 542,000 units in 2024, more than double the total from ten years earlier, while the International Federation of Robotics reports the market value of those installations hit a record $16.7 billion, according to GlobeNewswire’s August 2026 coverage. Billions of dollars have poured into AI robotics companies over the past two years, and this is the first year that capital is showing up as hard installation numbers instead of pitch-deck projections.

The scale of the jump matters more than the headline figure alone. Industrial robot installations doubling over a decade tracks a labor shortage that has moved from a manufacturing talking point to a boardroom line item, especially in repetitive, physically demanding roles that companies increasingly can’t staff at any wage. That shortage is the demand-side pressure behind the $16.7 billion figure, and it explains why robotics vendors are no longer competing only on capability, they’re competing on proof that a deployment holds up in production, not just in a demo.

Cancerassociated fibroblast subtypes differentially modulate natural killer cells in cancer

Cancer-associated fibroblasts (CAFs) represent an abundant and heterogeneous component of pancreatic ductal adenocarcinoma (PDAC) but their interplay with natural killer (NK) cells is largely understudied. Rodrigues et al. show that CAFs, particularly myofibroblastic (my)CAF modulate NK anti-tumor capacity. This is mediated partially by prostaglandin E2, affecting granzyme B expression.

AI isn’t close to curing cancer. This startup says it knows what it will take

Very exciting: Vivodyne has built modular robotic laboratories to map vast datasets on biological dynamics at the level of human tissues (not just cells), providing much-needed data for training Bio-AI models to more accurately predict clinical effects.


It’s the data, stupid.

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