TEMPEST-LoRa: Emitting LoRa Packets from VGA or HDMI Cables
rtl-sdr.com·19h
📻Homebrew Protocols
How to transfer files in AWS using SSM
pentestpartners.com·15h
🏠HomeLab
GCVE with Cédric Bonhomme and Alexandre Dulaunoy
opensourcesecurity.io·2d
🔓Open Source Software
Living Off the Cloud: Abusing Cloud Services for Red Teaming
infosecwriteups.com·1d
🎫Kerberos Exploitation
70 Companies You Didn't Know Were Using Rails in 2025
thoughtbot.com·1d
📚MARC Evolution
qBittorrent not placing downloads into empty folder created by Sonarr
imgur.com·1d·
Discuss: r/homelab
🏴‍☠️Piracy
What I Learned About Machine Learning – Don’t Use It!
bobbydurrettdba.com·2h
👁️System Observability
ssh/RDP to home PC
noip.com·2h·
Discuss: r/homelab
🌐DNS Security
Software flies airplanes. And sometimes software fails (2010)
softwarefreedom.org·1d·
Discuss: Hacker News
💾Persistence Strategies
Does the Department of Homeland Security Know Who Satoshi Nakamoto Is?
hackernoon.com·8h
💿WORM Storage
New NVMe specifications for AI, cloud, enterprise and client applications
heise.de·9h
💾Persistent Memory
We beat GPT-4o's baseline with a simple re-prompting loop
aimon.ai·1h·
Discuss: Hacker News
🌳Incremental Parsing
When hyperscalers can’t safeguard one nation’s data from another, dark clouds are ahead
theregister.com·1d·
Discuss: Hacker News
🖥️Self-hosted Infrastructure
Minimal High-Resolution Patches Are Sufficient for Whole Slide Image Representation via Cascaded Dual-Scale Reconstruction
arxiv.org·20h
📊Learned Metrics
NS-Net: Decoupling CLIP Semantic Information through NULL-Space for Generalizable AI-Generated Image Detection
arxiv.org·20h
📊Learned Metrics
Confidence-Diversity Calibration of AI Judgement Enables Reliable Qualitative Coding
arxiv.org·20h
🧠Intelligence Compression
Hearing More with Less: Multi-Modal Retrieval-and-Selection Augmented Conversational LLM-Based ASR
arxiv.org·20h
🎵Audio ML
Transportation Cyber Incident Awareness through Generative AI-Based Incident Analysis and Retrieval-Augmented Question-Answering Systems
arxiv.org·20h
🚨Incident Response
Machine Learning Fundamentals: loss function example
dev.to·3d·
Discuss: DEV
📏Code Metrics
Improving an "Awesome X" List
dev.to·1d·
Discuss: DEV
⭐Awesome lists