Hacking & security — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 60% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
14 measurements spanning 42 days, net -42. 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 7,343–7,437 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 12:56
7,384
-18
14 Sept 2026, 08:39
7,402
-3
11 Sept 2026, 02:38
7,405
-5
6 Sept 2026, 05:36
7,410
+56
2 Sept 2026, 04:56
7,354
-10
30 Aug 2026, 09:45
7,364
-10
27 Aug 2026, 09:29
7,374
-31
24 Aug 2026, 08:13
7,405
-10
20 Aug 2026, 19:53
7,415
+1
17 Aug 2026, 12:17
7,414
-2
14 Aug 2026, 01:56
7,416
-5
10 Aug 2026, 22:42
7,421
-4
8 Aug 2026, 02:41
7,425
-1
7 Aug 2026, 08:47
7,426
first reading
Engagement
26 posts held, back to 9 September 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.6%
avg views ÷ 7,384 subscribers
Avg views / post
928
6 posts measured
Reaction rate
3.47%
reactions ÷ views · ER floor
Posts in window
6
of 26 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
26 (9 September 2025 – 28 August 2026)
Views total
5,565
Reactions total
193
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 23:24 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
1,256 reactions across 26 posts, in 23 distinct kinds. The most used accounts for 63.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
797
63.5%
🔥
192
15.3%
❤🔥
103
8.20%
👍
53
4.22%
🦄
32
2.55%
🙏
24
1.91%
✍
14
1.11%
🥰
12
0.955%
☃
5
0.398%
💘
4
0.318%
👏
3
0.239%
🍓
2
0.159%
👾
2
0.159%
💋
2
0.159%
💯
2
0.159%
🕊
2
0.159%
⚡
1
0.08%
🌚
1
0.08%
🌭
1
0.08%
🎉
1
0.08%
3 further kinds
3
0.239%
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 26 of the 26 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 1,256 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 9 September 2025 to 28 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
202
across the posts below
Posts paid on
25
of 26 we hold a reading for · 96%
Most on one post
40
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @netskings. 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 26 most recent posts we hold for this entry, published 9 September 2025 to 28 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.
👁🗨Hello world~
Metasploit: Exploit сработал, а сессии нет
• Мы уже знакомились с Metasploit и разбирали его использование на практике, однако при работе с ним можно столкнуться с неприятным сообщением: Exploit completed, but no session was created
• Оно означает, что модуль завершил работу, но Metasploit не получил сессию на целевой системе, при этом сообщение не подтверждает успешную эксплуатацию уязвимости.
• …
👁🗨Hello world~
Математическая основа криптографии: Теория чисел. Диофантовы уравнения
• Продолжаем математическое занудство. В прошлом посте мы познакомились с модульной арифметикой и обратными элементами, а сегодня разберемся, как связанные с ними уравнения решаются в целых числах.
• Диофантово уравнение — это уравнение с целыми коэффициентами, для которого необходимо найти целочисленные решения.
• Самый просто…
👁🗨Hello world~
Link Aggregation: Как несколько кабелей превращаются в один канал
• Представим, что между двумя коммутаторами проложено несколько Ethernet кабелей. Использовать их как независимые соединения не всегда получится: STP может заблокировать лишние пути, чтобы защитить сеть от петли.
• Link Aggregation позволяет объединить несколько физических соединений в один логический канал Link Aggregation Group, ил…
👁🗨Hello world~
Как работает антивирус: Песочницы и антианализ
• В посте про динамический анализ мы говорили, что подозрительную программу могут запустить в контролируемой среде и посмотреть, что она делает, сегодня мы подробнее разберемся что к чему.
• Такая среда называется песочницей (sandbox). Она позволяет наблюдать за процессами, файлами, реестром, памятью и сетевыми соединениями, не подвергая опасности осно…
👁🗨Hello world~
GEOINT: Карты, с которых начинается исследование
• Про то, что такое GEOINT мы уже говорили, но напомню, GEOINT (Geospatial Intelligence) — это получение информации из карт, координат, спутниковых снимков и других данных, привязанных к местности.
• Сегодня начнем с базовых инструментов, которые пригодятся практически в любом исследовании.
• Google Maps — база для поиска адресов, организаций, фотог…
👁🗨Hello world~
Автоматизированный обход DPI на роутере: B4
• Много было написано про DPI, и про сам принцип, и про обход через VLESS/VMess. Но прокси требуют сервер — это деньги и лишний пинг. GoodbyeDPI и Zapret работают без сервера, но требуют вручную ковырять параметры и списки доменов. B4 удобнее: никакого сервера, а настройка через веб-интерфейс с автоподбором стратегий.
• B4 (Bye Bye Big Bro) — процессор се…
👁🗨Hello world~
BFLA: Уязвимость, когда функции доступны всем
• Broken Function-Level Authorization (BFLA) — это критическая уязвимость безопасности веб-приложений и API, которая возникает, когда приложение неправильно проверяет, имеет ли пользователь право на выполнение конкретного действия, даже если он аутентифицирован.
• BOLA и BFLA тесно связаны, так как раньше все это называлось одним Broken Access Control и…
👁🗨Hello world~
Атаки на телефонную сеть: Изменение профиля абонента в VLR
• Полгода спустя продолжаем изучать атаки на SS7.
• Изменение профиля абонента в VLR (Visitor Location Register) — это атака, при которой злоумышленник с доступом к SS7 подделывает сообщения от HLR и посылает в MSC/VLR фальшивые Insert Subscriber Data или другие MAP-команды, чтобы изменить параметры абонента.
• Как происходит атака:
• Ата…
👁🗨Hello world~
Интернет не анонимен...?: Все посты
• Все посты из цикла, где мы рассматривали разные темы, связанные с анонимностью и безопасностью.
• [Часть 1] Конфиденциальность vs Анонимность
• [Часть 2] Как удалить свою онлайн-личность. Гугл
• [Часть 3] Телеметрия приложений
• [Часть 4] Пароли и их хранение
• [Часть 5] DNS и его утечка
• [Часть 6] Двухфакторная аутентификация
• [Часть 7] Самый анонимный поиск…
👁🗨Hello world~
Как найти айпи бекенда за CDN
• Практически все нынешние веб-приложения, от малых до больших, стоят за CDN. Невозможность получить оригинальный айпи делает вектор нашей атаки ограниченным, сегодня мы поговорим, как можно попытаться это обойти.
• Сразу стоит оговориться, что это не 100% способ, но часто рабочий.
• Для начала мы собирает все поддомены, можно использовать sublist3r, subfinder, GooFuz…
👁🗨Hello world~
Цифровая гигиена: День 3. Пароли и MFA: Забудьте про замены букв цифрами
• На этом канале уже поднимались эти темы в цикле "интернет не анонимен" (про пароли, про MFA), но повторение никогда не повредит.
• Слабые и повторяющиеся пароли, одна из главных уязвимостей большинства пользователей. Самые популярные пароли это 123456, admin, 12345678 и так далее. Даже не слив БД, а обычная лень делает людей…
❤36❤🔥11🦄5👍2
Showing the 12 most recent of 26 posts we hold for @netskings. 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“.NET Kings” (@netskings), 7,384 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/netskings.
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.