4 measurements spanning 7 days, net +43. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 6,871–6,929 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 00:47
6,922
+25
9 Aug 2026, 16:21
6,897
+19
6 Aug 2026, 11:43
6,878
-1
6 Aug 2026, 08:21
6,879
first reading
Engagement
24 posts held, back to 22 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
10.5%
avg views ÷ 6,922 subscribers
Avg views / post
725
24 posts measured
Reaction rate
1.16%
reactions ÷ views · ER floor
Posts in window
24
of 24 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 23 of 24 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 August 2026
Posts held
24 (22 July 2026 – 10 August 2026)
Views total
17,401
Reactions total
194
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 02:38 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
187 reactions across 21 posts, in 9 distinct kinds. The most used accounts for 30.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
57
30.5%
🔥
49
26.2%
❤
41
21.9%
🙏
17
9.09%
😁
12
6.42%
🤪
5
2.67%
🥰
3
1.60%
🤡
2
1.07%
👎
1
0.535%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 23 of the 24 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 194reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 22 July 2026 to 10 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 24 we hold a reading for · 4%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pentesting_channel. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 24 most recent posts we hold for this entry, published 22 July 2026 to 10 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
8.33%
2 of 24 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
708
over 2 measured posts
Median views · rest
751
over 22 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 24 most recent posts we hold, published 22 July 2026 to 10 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
🧪 Разбор практической задачи
В задаче у нас был хост:
192.168.1.25
И открытые порты:
135/tcp open msrpc
139/tcp open netbios-ssn
445/tcp open microsoft-ds
1. Какую ОС можно предположить?
Такой набор портов очень характерен для Windows.
Особенно:
135 MSRPC
139 NetBIOS
445 SMB
Но важно помнить:
По одним только портам мы делаем предположение, а не окончательный вывод.
2. Проверяем доступ к SMB без учётных дан…
🧪 Понедельник начинаем с практики
Представим, что во время внутреннего пентеста вы обнаружили хост:
192.168.1.25
Сканирование показало:
PORT STATE SERVICE
135/tcp open msrpc
139/tcp open netbios-ssn
445/tcp open microsoft-ds
Учётных данных у вас пока нет.
🎯 Задачи:
— Какую ОС вы предположите на хосте?
— Как проверить, доступны ли SMB-шары без авторизации?
— Как получить список общих папок?
— Что будете пров…
📁 Поиск общих SMB-папок
Во время внутреннего пентеста полезно проверить, какие сетевые папки доступны по SMB.
📌 SMB используется для общего доступа к файлам и папкам в Windows-сетях.
Чаще всего SMB работает на:
445/tcp
Проверяем:
nmap -p 445 192.168.1.10
🔎 Посмотреть доступные SMB-шары
Без пароля:
smbclient -L //192.168.1.10 -N
С учётной записью:
smbclient -L //192.168.1.10 -U user
Пример:
Public
Backup
Users
I…
🖥 Как определить ОС: Windows или Linux?
Во время разведки в сети одна из первых полезных задач — понять, какая операционная система работает на целевом хосте.
Это помогает сразу сузить круг дальнейших проверок:
— какие сервисы ожидать;
— какие порты будут типичны;
— какие уязвимости искать;
— какие инструменты использовать;
— куда двигаться дальше после первоначального доступа.
📌 Самые простые признаки — открытые …
Nuclei - ваш лучший друг в автоматизации XSS инъекций, но ...
Все вы уже знаете что такое XSS.
Если вкратце, то это уязвимость, которая позволяет атаковать веб и базу данных.
По порядку
Stored XSS (самая опасная) - пейлоуд заражет базу данных и как только пользователь заходить на зараженную страницу (откуда подтягиваются данные из БД), то происходит угон токенов и куки.
Reflected XSS - та, что отражает от сервер…
🔐 Что такое принцип минимальных привилегий — Least Privilege?
При изучении Active Directory, Windows, Linux, облаков или AppSec очень быстро встречается принцип Least Privilege.
📌 Least Privilege — это подход, при котором пользователю, сервису или приложению выдаются только те права, которые действительно нужны для выполнения его задачи.
Не больше.
Простой пример:
Если сотруднику нужно только читать документы из о…
Написал мощный разбор как я ломал тренировочную уязвимую машину crAPI и нашел там уязвимость номер 1 (Bola Broken Object Level Authorization) OWASP API TOP 10.
Всем читать ребят! Особенно кто интересуется темой киберббеза.
Знаю не у всех есть Linkedin, поэтому статья открытая.
https://www.linkedin.com/pulse/что-такое-crapi-и-как-я-сделал-пентест-в-уязвимого-rest-brunovski-d1q2f/
Собираю группу ребят на обучение по защите веб приложений на основе XSS инъекций и BOLA / IDOR (Rest API).
Работать будем на специально уязвимых лабораториях
Рассмотрим на практике, что такое Stored XSS, Reflected XSS, DOM-XSS, научимся писать ручками иъекции
Также будем работать с POSTMAN/REST API, чтобы находить логические уязвимости типа BOLA Broken Object Level Authorization.
Обучение платное, но стоит адеква…
👤 Что такое Service Account?
Когда начинают изучать Active Directory, серверную инфраструктуру или облачные сервисы, часто встречают термин Service Account.
📌 Service Account — это специальная учётная запись, которая используется не человеком, а программой, службой, сервером или автоматизированным процессом.
То есть от её имени могут работать:
— службы Windows;
— базы данных;
— системы резервного копирования;
— аг…
🌐 Что такое OWASP?
Когда начинают изучать безопасность веб-приложений, практически сразу встречают название OWASP.
📌 OWASP — Open Worldwide Application Security Project.
Это международное открытое сообщество, которое создаёт бесплатные материалы, инструменты и методики по безопасности приложений.
Проще говоря:
OWASP помогает разработчикам, пентестерам и компаниям находить, понимать и предотвращать уязвимости в при…
👍4🔥3🙏1
Showing the 12 most recent of 24 posts we hold for @pentesting_channel. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 273,137 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Пентестинг & Security QA & SDET” (@pentesting_channel), 6,922 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/pentesting_channel.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.