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Greetings, dear readers! Continuing the SHX article series, in this article, we decided to focus in more detail on OSINT bots in Telegram, as in many cases they are no less effective than common OSINT tools. The OSINT bots discussed in this article will mainly concern reconnaissance on Telegram users. This material has been edited and republished due to being blocked by Roskomnadzor in the Russian Federation.

Disclaimer: All data provided in this article is taken from open sources. It does not call for action and is provided for informational purposes only, and for studying the mechanisms of the technologies used.

For many, November 28, 2025, began with complaints about WhatsApp. Some users are unable to send or receive text messages and media files, and when attempting a voice or video call, the client hangs indefinitely on the 'Connecting' status before dropping the call.

Telecom operators (MegaFon, Beeline) are reporting normal network operations. And technically, they aren't lying: connectivity exists, and Meta's IP addresses are (mostly) accessible. The problem lies deeper—at the level of L7 filtering by TSPU.

In this article, we will look at 3 ways to set up a VPN connection with VLESS and Reality.

VLESS is a modern, privacy-oriented data transfer protocol, often called VLESS VPN, although strictly speaking, we will be discussing the installation of a proxy with the VLESS protocol based on an XRay server with Reality.

Let's start with the simplest and most universal option, which requires no technical knowledge.

Greetings, dear readers! In this article, we will take a detailed look at all aspects of searching for information about a person by photo, paying special attention to three main areas. We will discuss the capabilities of search engines, which many underestimate, although they can provide surprisingly accurate data when used correctly. We will analyze specialized online services based on neural networks and complex facial recognition algorithms. Special attention will be paid to Telegram bots, which combine the convenience of mobile use with powerful search technologies. These tools will help you obtain data about a person, including their name, phone number, and other useful information.

You will learn not only about the technical capabilities of each method but also about the practical nuances of their application. We will explain how to achieve maximum accuracy in data search and what photo parameters affect the result.

When OpenAI first showed Sora, the reaction was instantaneous: "that's it, the era of video production is over." But that was just a demonstration. The technology itself remained inaccessible to a wide audience — until the appearance of Sora 2, an updated version where any user can create up to 100 videos a day for free.

In short, Sora 2 is not just a "text-to-video generator." It's a full-fledged multi-agent system where several OpenAI models work under the hood: from text analysis and scene staging to motion and light synthesis. Unlike early versions of Runway or Pika, the quality here is almost cinematic: Sora understands context, follows the frame's composition, and maintains visual integrity between scenes.

Greetings, dear readers! We continue to test Telegram bots that can effectively help us with the task of finding target data in open sources, or simply put, in OSINT. In this article, we will look at more worthy candidates to become permanent search tools without leaving the well-known messenger.

Disclaimer: All data provided in this article is taken from open sources. It does not call for action and is provided for informational purposes only, and for studying the mechanisms of the technologies used.

In my previous Russian-language article on Machine Learning as Alchemy, I discussed the possibility of discovering novel solutions without relying on GPUs or expensive computing clusters. In this article, I will share my experiments with continual learning and the compositionality of thought using micro-neural networks, and explain what the philosopher Lev Vygotsky has to do with it all.

I've been practicing Zettelkasten for the past five years and still haven't found anything better than Niklas Luhmann's method. The problem is that Obsidian doesn't support it out of the box, so I had to write a plugin for organizing notes as close to Luhmann's original method as possible.

I spent a couple of weeks digging through Luhmann's original archive before I understood how it actually works. Structurally, the archive resembles a table of contents, but with the difference that a note can be inserted at any point, adding nested chapters.

You’ve probably had this happen too: a service runs smoothly, keeps users happy with its stability and performance, and your monitoring stays reassuringly green. Then, the next moment — boom, it’s gone. You panic, dive into the error logs, and find either a vague segfault or nothing at all. What to do is unclear, and production needs saving, so you bring it back up — and everything works just like before. You try to investigate what happened, but over time you switch to other tasks, and the incident fades into the background or gets forgotten entirely.

That’s all fine when you’re on your own. But once you have many customers, sooner or later you start feeling that something isn’t right, and that you need to dig into these spikes of entropy to find the root cause of such incidents.

This article describes our year-long investigation. You’ll learn why PostgreSQL (and any other application) can crash because of a bug in the Linux kernel, what XFS has to do with it, and why memory reclamation might not be as helpful as you thought.

If you are a new developer, you have probably hit the “subscription wall.” You have $20 a month to spend on an AI coding assistant, but you don’t know which one to pick.

The Mandelbrot set. And it's a program! I made it in g++, a freely distributable C++ compiler. Read it! Very interesting. Using OpenMP, you do parallel programming at the multithreading level. And I decided - this would be a completely different level of quality! I implemented honest supersampling (antialiasing) - with 8x8 antialiasing (64 passes per pixel!!!) That is, not 1920 by 1920 pixels, but 8x8 more! 15360 by 15360 pixels! And then these 64 passes reduce by one pixel, but smoothly - and no longer 8-bit, but 24-bit TrueColor!

A utility for supporting Xray on Keenetic routers — Xkeen.
All the code is written in pure shell and is open source on GitHub.

Builds Xray for your Keenetic on Entware.
GeoIP and GeoSite from AntiFilter, AntiZapret, and v2fly are available.

Automatically updates Xray, GeoIP, and GeoSite at a specified time.

What is a sequence diagram? What does it consist of? Where and how to use it?

Sequence diagrams in simple terms.

And there are also interesting features here that you might not have known about.

The Chinese neural network DeepSeek has recently gained popularity. Today, we'll figure out how to work with its API, how to pay for it from Russia, and whether there are any difficulties.

A Telegram Mini App is a web application built into the messenger that allows users to access a service without installing separate programs. This allows for a convenient service integrated with the messenger's ecosystem, whether it's an online store, a booking system, etc.

We have written a general overview of this application, its capabilities, the first steps to creating one, and existing examples.

I finally decided to replace my old Linksys router and buy a new gigabit router with a built-in VPN – that's what most retailers call the feature, without specifying whether they mean a VPN client or a VPN server.

After some searching, I managed to find only one major seller – the orange one with three letters – whose website has advanced filtering for routers by VPN parameters, such as protocol and operating mode (client/server).

And so, with a list of several dozen candidates for purchase, the main question arose – what speed over VPN can each of them deliver?

In this article, we will look at how you can customize Windows, adjusting the appearance and functionality of the operating system to your preferences. This can be done using both built-in tools and third-party programs.

When customizing Windows, it's important to remember that most third-party programs make changes to system files and the registry. This can lead to malfunctions, conflicts between utilities, and problems after operating system updates.

List of utilities that will be covered in this article: PowerToys, WinAero Tweaker, ExplorerPatcher, Rainmeter, TranslucentTB, EarTrumpet.

By the way, if you are interested in IT technologies and useful tools, check out my Telegram channel. I regularly post fresh news, life hacks, and other useful things there. And now, to the heart of the article.

A categorical welcome to everyone. Literally on the first of August, right in the middle of the night, YouTube started lagging terribly for me. Naturally, I didn't like this at all. Well then, let's figure out why and how to fix it within my personal network.

What happened?

What happened is well described here, on Habr. In short, in my own words - during the SSL connection setup, the domain we are connecting to (the so-called SNI) is transmitted in plain text. And if it's googlevideo.com, then "interesting things" start to happen. You can check this locally with the commands from the article.

$ curl https://speedtest.selectel.ru/100MB -o/dev/null

Image generation by neural networks has become a 'regular button' alongside familiar design tools. Today, you can create an image from a description in Russian, right in your browser, often without registration and, importantly, for free. Such a 'free image generator' is useful not only for designers: entrepreneurs create product cards and hero banners, SMM specialists create ad creatives and stories, journalists and bloggers create illustrations for their materials, and developers create interface prototypes and game mockups.

Why has this topic become so popular?

A brief and clear description of the RAG (Retrieval Augmented Generation) approach for working with large language models.