#side-channel attacks
25 related articles
·2 min
Claude Mythos Cryptographic Algorithm Cracking Incident: The Reality and Boundaries of AI Cryptanalysis
Anthropic's Claude Mythos Preview model reportedly discovered improved cryptographic attack methods. This article analyzes the realistic boundaries of AI cryptanalysis capabilities and implications.
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·2 min
Claude Mythos Codebreaking Incident Explained: The Reality and Limits of AI Cryptanalysis
Anthropic's Claude Mythos Preview model reportedly discovered improved cryptographic attack methods. This article analyzes the real capability boundaries of AI cryptanalysis and its implications.
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·3 min
Anthropic Breaks HAWK-256: A Security Wake-Up Call for Post-Quantum Signature Schemes
Anthropic publishes a practical key-recovery attack on HAWK-256, exposing vulnerabilities in post-quantum signature schemes and implications for PQC standardization.
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·3 min
Discovering Cryptographic Vulnerabilities with Claude: A New Paradigm for AI-Assisted Security Research
How Anthropic's Claude assists in discovering cryptographic implementation vulnerabilities, analyzing AI's real capabilities and limitations in code review, side-channel detection, and protocol analysis.
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·4 min
Building Self-Hosted Tunnels Under Extreme Censorship: A Layered Architecture with VLESS Reality
Deep analysis of building layered tunnel architectures using VLESS+Reality to evade DPI and domestic relays with whitelisted IPs to bypass geographic blocking in extreme censorship environments.
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·6 min
AmneziaVPN Deep Dive: The Open-Source Powerhouse for Self-Hosted, Censorship-Resistant VPN
Deep dive into the AmneziaVPN open-source client: AmneziaWG anti-DPI obfuscation, self-hosted VPS deployment, multi-protocol support, and cross-platform privacy.
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·7 min
Auditing Cryptographic Libraries with AI: What We Found in Cloudflare's CIRCL
An in-depth look at using AI LLMs to audit Cloudflare's open-source cryptographic library CIRCL, covering constant-time detection, side-channel vulnerabilities, and human-AI collaboration.
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Can LLMs Really Understand Computer Ar…
·3 min
Can LLMs Really Understand Computer Architecture Papers? A Deep Dive into Comprehension Capabilities
Can LLMs truly understand computer architecture papers? This article analyzes core challenges—from surface pattern matching to deep reasoning—and defines their capability limits for researchers.
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·2 min
Hombre: An Open-Source Visual Dashboard for Honcho AI Memory Server
Hombre is an open-source web GUI for self-hosted Honcho AI memory servers. Features workspace management, semantic search, real-time sync, and RBAC — built with FastAPI and native frontend, MIT licensed, Docker-ready.
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·6 min
Home Self-Hosting Server Setup Guide: Building a Private Cloud Ecosystem from Scratch
One 32GB server, 8 hours to build a complete home self-hosting ecosystem. This article details the selection logic behind core services like Jellyfin, Forgejo, Immich, and Ollama, plus infrastructure setup essentials for Nginx Proxy Manager and Podman Compose.
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·4 min
Nikon Launches World's First Publicly Available Wireless-Free Camera: A New Hardware-Level Data Security Solution
Nikon's first publicly sold Wireless-Free camera removes all wireless hardware at the chip level, delivering true air-gap data security. We break down the design logic, use cases, and the convenience vs. security trade-off.
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·5 min
The Halo Open-Source Project: Building Tamper-Evident Runtime Evidence for AI Agents
Halo is an open-source tool providing tamper-evident runtime evidence for AI agents, recording every action via hash chains and cryptography to solve auditing, compliance, and accountability challenges.
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·7 min
Why Does WhatsApp Drain So Much Battery? A Deep Dive into the Technical Causes and a Power-Saving Guide
An in-depth analysis of the core technical reasons behind WhatsApp's battery drain—covering persistent connection heartbeats, background tasks, media processing, E2E encryption, and iOS/Android differences—plus 4 practical power-saving tips.
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·6 min
Fable 5 vs. GPT-5.6 Sol: Benchmarks, Pricing, and the AI Power Struggle Explained
An in-depth comparison of Fable 5 and GPT-5.6 Sol: benchmarks across Terminal Bench, HealthBench, and ExploitBench, plus pricing strategy, OpenAI's government equity controversy, and shifting AI power dynamics.
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·6 min
From Firefox to Android Root: Deep Analysis of a Browser Privilege Escalation Attack Chain
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.
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·4 min
Ternlight: A 7MB Browser-Side Embedding Model for Server-Free Semantic Search
Ternlight is a 7MB WebAssembly-based browser-side text embedding model requiring no server or GPU. Explore its tech, use cases, and tradeoffs for private, offline semantic search.
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·6 min
Hardware-Level AI Security: How Confidential Computing Achieves Both Performance and Protection
Explore how hardware-level AI security and Confidential Computing protect model weights, training data, and inference processes, building trusted execution environments without performance loss.
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·6 min
Hardware-Level AI Security: How Confidential Computing Achieves Both Performance and Protection
Explore how hardware-level AI security and Confidential Computing protect model weights, training data, and inference processes, building trusted execution environments without performance loss.
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·7 min
Exfiltrating Data from Air-Gapped Systems via Apple's Find My Network: Attack Mechanics and Defense Insights
Security research reveals how attackers can abuse Apple's Find My network as a covert exfiltration channel, disguising sensitive data from air-gapped systems as location beacons. A deep dive into the attack chain, stealth advantages, and defense insights.
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·6 min
AI Workspace Session and Cache Leaks: A Complete Analysis of Multi-Tenant Isolation Security Risks
AI workspaces face cross-tenant session and cache leak risks that can expose sensitive enterprise data. This article analyzes multi-tenant isolation pitfalls, common architectural flaws, and actionable defenses.
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