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The Hacker News

Google and Microsoft Pull ModHeader With 1.6 Million Installs After Dormant Collector Found

Google and Microsoft have pulled ModHeader, a popular header-editing extension with roughly 1.6 million installs across Chrome and Edge, after researchers found a hidden browsing-history collector built into its official store version. The collector was dormant. An empty allow-list kept it switched off, and no proof has emerged that it ever gathered or sent a single browsing domain. The

The Hacker NewsRead original
ExternalSoftware Engineering
DZone

Machine Identity Debt: Why Human Identity Is No Longer Cloud Security's Primary Boundary

Cloud-native systems now create far more machine identities than human ones. Security strategies built around workforce identity are no longer sufficient. Here's what engineering leaders should build instead. The Breach That Didn't Need a Password On August 8, 2025, a threat actor now tracked by Google's Threat Intelligence Group as UNC6395 began quietly moving through the Salesforce instances of hundreds of companies. No phishing email landed in an inbox that day. No password was cracked. No mu

DZoneRead original
ExternalDevOps
AWS Containers Blog

Accessing private Git repositories from Amazon EKS capability for Argo CD

In this post, we walk you through three main steps: First, you create an AWS CodeConnections host in your VPC with connectivity to your private Git server. Second, you establish a connection that Argo CD can use. Finally, you deploy a sample application to verify the integration. By the end, you have a secure way to deploy applications from private repositories.

Advanced (300)Amazon Elastic Kubernetes ServiceTechnical How-to
AWS Containers BlogRead original
ExternalAI
AWS Machine Learning Blog

Launching UI for generative AI inference recommendations in Amazon SageMaker AI

In this post, we introduce the UI for optimized generative AI inference recommendations in Amazon SageMaker AI Studio, a low-code no-code (LCNC) experience. The API already gives you programmatic access to recommendations, but it assumes you know which parameters to set and how to interpret raw benchmark output. The UI removes that assumption. It guides you through preset use-case profiles, visual comparisons of results, and one-click deployment, so teams without deep infrastructure expertise ca

Amazon SageMaker AIAnnouncementsIntermediate (200)
AWS Machine Learning BlogRead original

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