16 related articles

ScrollToll is an Android anti-addiction app that counts short videos watched instead of time spent, hard-locks feeds at daily limits, and guides breathing exercises to reclaim attention.

A fake critical SQLite CVE fabricated by AI hallucination passed official review, exposing weaknesses in vulnerability disclosure. Analysis of impacts and governance strategies.

Deep analysis of Nightcrawler, an AI penetration testing agent running entirely on smartphones. Exploring how on-device AI empowers cybersecurity testing, its architecture, use cases, and risks.

Analysis of how the open-weight model alliance serves both digital safety and U.S. competitiveness, exploring transparency, ecosystem building, and geopolitical AI competition.

A U.S. citizen faces criminal charges after a GrapheneOS phone auto-wiped during an airport border search. Analysis of the privacy rights vs. law enforcement clash.

EU spyware committee members hacked by Pegasus, exposing the regulatory crisis of commercial spyware. Deep analysis of zero-click attacks, systemic risks to democratic oversight, and the urgent need for international regulation.

GPT-5.6 is officially released, merging ChatGPT and Codex into one app and launching the three-tier Sol, Terra, and Luna models. A detailed breakdown of 16 hands-on tests plus Worker mode and Codex dev upgrades.

Google paid a security researcher $250K for a Linux kernel VM escape vulnerability, setting a VRP record. An in-depth analysis of VM escape principles, kCTF incentives, and cloud security impact.

A kernel-level Use-After-Free vulnerability in OpenBSD allows local attackers to escalate privileges to root via dangling pointers. Learn how UAF works, its impact, and mitigation steps.

Deep analysis of a complete mobile exploit chain: how attackers start from Firefox, escape the sandbox, exploit kernel vulnerabilities, and achieve Android Root. Security insights for developers.

Explore how hardware-level AI security and Confidential Computing protect model weights, training data, and inference processes, building trusted execution environments without performance loss.

Explore how hardware-level AI security and Confidential Computing protect model weights, training data, and inference processes, building trusted execution environments without performance loss.

Why do C programmers keep creating readability disasters? An in-depth look at macro abuse, fancy pointer tricks, and over-nesting—and how coding standards, static analysis, and code review protect maintainability.

Local AI faces a triple threat from tightening regulation, hardware lock-downs, and commercial pressure. A deep analysis of why running open-source LLMs on your own device is a digital right worth defending.
Industry InsightsThe IRS's proposed mobile app has sparked heated debate. This article analyzes the core arguments, exploring data security, privacy, and the trust crisis in government digital transformation.

An in-depth look at AI Agent sandboxing for permission management — how OpenAI uses execution isolation, resource limits, and progressive trust models to contain potentially destructive operations.