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Showing posts from January, 2026

Client Domain Hooking

Client Domain Hooking - Example Attack – duszynski.eu – Piotr Duszyński Client Domain Hooking - Example Attack Written on May 20, 2019 In my last blog post I have released a paper that described all relevant technical aspects of the ‘Client Domain Hooking’, along with a HTTP Strict Transport Security (HSTS) survey made for the TOP 1000 Alexa websites. In this post I will show how to run a simulated, ‘Client domain Hooking’ attack which will be used to evaluate an example browser-based application security posture. “Prerequisites” In order to execute this attack, you will need the following set-up: any active and registered domain name (we will be using ‘cdh.modlishka.io’ as an example). a valid wildcard TLS certificate for the domain that we own (it can be either bought or obtained from the “Let’s Encrypt” service). latest version of Modlishka v.1.1 reverse proxy. target applications, such as the latest version of Chrome browser and example vulnerable WebView based mobile applications....

Building Your First Local LLM App

Building Your First Local LLM App AZLOKISME JANUARY 13, 2026 INTRO Not long ago, using powerful AI meant sending your data to distant server farms. It was like renting a supercomputer; useful, but not personal. Now, with efficient models like Llama 3 and tools like Ollama, things have changed. You can run AI on your own machine. In this article, I’ll walk you through building your first local LLM app, even if you’re new to LLMs. Build a Local LLM App: Getting Started We’ll build a working chat-based AI app in Python that runs only on your computer. Your data stays private, there are no API fees, and it’s just you and your code. To follow along, you need a few dependencies: Install Python: Ensure you have Python installed (version 3.8 or higher is recommended). Install Ollama: Go to ollama.com and download the installer for your OS. Once installed, open your terminal and run:  ollama pull llama3.2 This command downloads the core model we’ll use. Next, open your terminal and install ...