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Curated links from external sources — not 360Softy original articles.

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The Hacker News

Fake ChatGPT and Claude Apps Abuse Signed Executables to Deploy Crypto Miners

Threat actors are delivering malicious loaders and cryptocurrency miners under the guise of artificial intelligence (AI) desktop applications for Anthropic Claude and OpenAI ChatGPT as part of a campaign dubbed Yoba. The activity involves creating fake GitHub projects that claim to be desktop applications like GPT-5.6 Sol, GPT-6 Astra, and Claude Opus, only to deliver a malware family called

The Hacker NewsRead original
ExternalObservability
Grafana Blog

Grafana 13.3 release: manage variables across dashboards, share findings with Notebooks, a UI refresh, and more

Grafana 13.3 is here, bringing more consistency and control to how you work across Grafana.  Cross-dashboard variables help you manage shared dashboard controls from one place, while Notebooks let you capture and share findings from across Grafana in a single, editable document. You'll also get a first look at Grafana's biggest visual refresh since Grafana 7, along with new ways to guide and refine dashboards built with Grafana Assistant. Below are just some of the highlights from this release.

Grafana BlogRead original
ExternalMobile Development
Apple Developer News

Adjustments to the Taiwan storefront of the App Store on iOS and iPadOS

Apple is making changes to the Taiwan storefront of the App Store, following discussions with the Taiwan Fair Trade Commission. As of October 31, 2026, the commission rate for standard Apple In-App Purchase and paid app transactions will be 26% on the Taiwan storefront of the App Store on iOS and iPadOS. Currently, that rate is 30%. Signing the updated terms by October 31 is not required to receive the benefit of these commission rate changes starting that date. The Apple Developer Program Lice

Apple Developer NewsRead original
ExternalSoftware Engineering
DZone

Replay, Scheduling, and Throttling: Engineering a Self-Service Kafka Streaming Tool at Scale

What started as a recovery tool for streaming pipelines ended up as a full-fledged self-service platform, with scheduled watermark-based incremental ingestion, ad-hoc/one-time data replay, and throughput control built in along the way. The origin was narrow: streaming pipelines fail. A downstream consumer has an outage, a schema changes, a job crashes partway through, and, let's say, Kafka partitions are already gone due to max retention; when that happens, someone needs a way to re-publish a wi

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