This technical post walks through the design and implementation of Secure Playground: a local web app that simulates prompt-injection attacks against large language models and demonstrates simple defenses. Provide a minimal, reproducible environment to test payloads and defensive strategies. Make it easy to add new providers and run mutation-based red-team experiments. Offer a leaderboard and scor
If you've worked with Entity Framework Core in real-world architectures, you've probably written commands like this: dotnet ef migrations add InitialCreate \ --project src/MyApp.Infrastructure \ --startup-project src/MyApp.Api \ --context AppDbContext And maybe this worked fine... Until your architecture started growing. Suddenly you have: multiple APIs worker services separate infrastructu
Metasploitable2 - FTP Exploitation using vsftpd 2.3.4 Backdoor 1. Objective To identify and exploit a known vulnerability in an FTP service running on a vulnerable target machine using industry-standard reconnaissance and exploitation techniques. 2. Lab Environment Component Description Attacker Machine Kali Linux Target Machine Metasploitable2 Network Type Host-only / NAT
Hi everyone! I've been working on a personal project to create a desktop virtual assistant that doesn't rely on the cloud. I wanted something that felt like JARVIS but kept my data 100% private. Brain: It uses Ollama as the backend, so you can run models like Llama 3, Mistral, or Phi-3 locally. Interface: Built with PyQt6 featuring a "holographic" glassmorphism effect (transparent and sleek).
This is Part 1 of a two-part series. Part 2 (coming soon): Connecting to spoke clusters from a controller using multicluster-runtime, driven by ClusterProfile. The Cluster Inventory API (multicluster.x-k8s.io) is driven by SIG-Multicluster and centered on the ClusterProfile resource. It only delivers value when something produces those ClusterProfiles. That something is a cluster manager. Today, t
When developers travel, we usually prepare the obvious things. Laptop charger. But there is one dependency that is easy to underestimate until it breaks: mobile internet. A trip to China makes this especially obvious. Not because China is hard to travel in, but because so many basic interactions are mobile-first: navigation, translation, ride-hailing, hotel communication, ticket confirmations, pay
We've been there. JSON Schema gets hard to write as soon as your payload is non-trivial. Conditional logic, cross-field rules, business invariants, and at some point we stop writing contracts at all. We go code-first, generate the schema from annotations, and end up with 200 lines very few understand, and error messages referencing paths like #/properties/items/allOf/0/then/Then that map to nothin
Metric Value Django Average Response Time 287ms Node.js Average Response Time 193ms Django Memory Usage (1000 users) 1.8GB We tested Django 4.2 and Node.js 18.16 under identical conditions to measure their performance for reporting dashboard workloads. The test environment consisted of AWS EC2 m5.2xlarge instances (8 vCPUs, 32GB RAM) running Ubuntu 22.04. Both frameworks connected to th