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 11 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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 44 days, net +19. 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 8,937–9,057 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 10:42
9,043
+14
15 Sept 2026, 00:59
9,029
-7
11 Sept 2026, 19:01
9,036
+14
7 Sept 2026, 10:36
9,022
+71
2 Sept 2026, 05:27
8,951
-1
30 Aug 2026, 13:54
8,952
-5
25 Aug 2026, 03:34
8,957
-6
21 Aug 2026, 13:58
8,963
-11
18 Aug 2026, 20:33
8,974
-10
15 Aug 2026, 17:04
8,984
-1
12 Aug 2026, 15:37
8,985
-25
9 Aug 2026, 15:33
9,010
-14
6 Aug 2026, 02:52
9,024
no change
6 Aug 2026, 02:19
9,024
first reading
Engagement
23 posts held, back to 18 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 31 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.31%
avg views ÷ 9,043 subscribers
Avg views / post
661
2 posts measured
Reaction rate
2.19%
reactions ÷ views · ER floor
Posts in window
2
of 23 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 27 August 2026
Posts held
23 (18 July 2026 – 27 August 2026)
Views total
1,322
Reactions total
29
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 15:49 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.
What this channel posts
Video runtime
1m 28s
Average length
29s
Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
432 reactions across 23 posts, in 14 distinct kinds. The most used accounts for 35.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
153
35.4%
🔥
69
16.0%
❤
67
15.5%
👏
50
11.6%
🤣
48
11.1%
🎉
13
3.01%
🤔
7
1.62%
🫡
7
1.62%
👎
5
1.16%
🥰
5
1.16%
🙏
3
0.694%
😐
2
0.463%
🤯
2
0.463%
💔
1
0.231%
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 23 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 432 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 18 July 2026 to 27 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
15
across the posts below
Posts paid on
15
of 23 we hold a reading for · 65%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @artemov_security. 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 23 most recent posts we hold for this entry, published 18 July 2026 to 27 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.
🔫 Рубрика "разрешите до*баться!"
Попался мне тут рилс от проекта БНБ, который вызвал у меня смешанные эмоции: https://vk.ru/clip-232575418_456239657
Оговоримся сразу: посыл про то, что нельзя фоткать и потом распространять, я поддерживаю полностью. Мысль очень правильная и хорошо бы, чтобы это понимало как можно больше людей, так как от этого напрямую зависят жизни. Это не шутки.
При этом, есть одна неточность, …
✂️ Кусачки и четыре сотрудника: T-Mobile отвоевала сети у китайских хакеров Salt Typhoon
Специалистам T-Mobile пришлось буквально перерезать сетевой кабель, чтобы не позволить хакерам проникнуть в инфраструктуру оператора. Инцидент произошел в 2024 году во время масштабной шпионской кампании, которую власти США связывают с китайской группировкой Salt Typhoon.
Как выяснилось позже, специалисты T-Mobile некоторое в…
🎬 Don't go to the Police (2026)
Жанр: документальный
Описание: «Не обращайтесь в полицию» — такое послание оставили киберпреступники в требовании выкупа за разблокировку захваченных ими ИТ-систем и данных. Этот документальный фильм рассказывает историю одной попытки вымогательства, которая в итоге затронула 350 000 компаний.
Все начинается с одного клика по ссылке в электронном письме. Фишинговая атака. Французская…
Представляем вашему вниманию наш учебно-тренажёрный комплекс по треугольнику Карпмана!
Треугольник Карпмана - это социальная модель, согласно которой участники взаимодействия часто неосознанно используют одну из трех ролей: Жертву, Преследователя (Агрессора) или Спасателя. По-простому его ещё называют треугольником конфликтов и манипуляций.
В профайлинге модель Карпмана помогает:
📌 быстро сориентироваться в коммуник…
®️ OffZone 2026
В этот раз писать особо не о чем. Как обычно - встреча с теми, кого не видел и пара докладов, ничего такого. Поэтому просто ловите фоточки для атмосферы
#asc_public #asc_hack_and_security
📱 Канал | 🌐 ВК | 🔷 Сайт
Как простому, неподготовленному профессионально, человеку хотя бы немного уметь правильно видеть и распознавать поведение людей?
Довольно сложно в несколько пунктов уложить тот опыт, который формировался в течение долгих лет профессиональной деятельности, однако я приведу несколько достаточно простых правил, которыми мы всегда пользуемся, несмотря на совершенствование методик.
Итак, основные рекомендации:
1. Стара…
📚 Psycholinguistics - Its place and role in profiling activity. A methodological approach for psychologists specialized in behavioral analysis (2026)
Язык: EN 🇺🇸
Описание: The present chapter explores the place and role of psycholinguistics in profiling activity, offering psychologists specialized in behavioral analysis a systematic methodological framework for highlighting the psychological profile through languag…
🐠 Как понять, что хочет украсть хакер: базовый алгоритм анализа фишинга
💬 "Сегодня системы защиты от фишинга научились отсеивать большую часть вредоносных писем еще на подлете. Но это не значит, что понимать логику подобных атак больше не нужно. Рано или поздно подозрительное письмо может оказаться в личной почте сотрудника.
Под катом я расскажу, как шаг за шагом проверить фишинговое письмо, понять, что именно в …
🔵 What is corporate security? The complete guide 🔵
💬 "Corporate security isn’t just about surveillance cameras, firewalls, or background checks. It’s about protecting the entire operation, from people and data to operations and reputation. Today’s threats don’t come from one direction. They’re physical, digital, and often hiding in plain sight. This guide breaks down what corporate security really means, why it matt…
📖 3 НОЖА, КОТОРЫЕ ПОНРАВИЛИСЬ МНЕ В 2025-2026 ГОДАХ
Уже традиционная подборка ножей, которые мне понравились за последнее время, только в этот раз "последнее время" - это 2-3 года 😄
Ну и так вышло, что почти все ножи в подборке на этот раз были взяты просто за красоту, в чем нет ничего странного, так как ножи - это и про эстетику тоже.
⏱️ Время прочтения: 3 мин
➡ Читать: https://artemov-security.ru/tpost/kea8ii2r…
👍8🔥4❤3👏1💔1😐1
Showing the 12 most recent of 23 posts we hold for @artemov_security. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 11 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
OSINT mindset @osint_mindset · 64,564 Telegram ranks this channel #4 of 83 here — alongside 82 others — read 21 August 2026
Разведка в интернете @razvedka_v_internete · 36,415 Telegram ranks this channel #13 of 46 here — alongside 45 others — read 2 September 2026
CyberYozh @cyberyozh_official · 62,701 Telegram ranks this channel #16 of 81 here — alongside 80 others — read 21 August 2026
Пакет Безопасности @package_security · 33,106 Telegram ranks this channel #18 of 82 here — alongside 81 others — read 4 September 2026
Интернет-Розыск @irozysk · 46,000 Telegram ranks this channel #21 of 79 here — alongside 78 others — read 27 August 2026
Social Graph News @social_graph_channel_ru · 24,975 Telegram ranks this channel #22 of 48 here — alongside 47 others — read 14 September 2026
Mr. Robot @elliot_cybersec · 38,957 Telegram ranks this channel #22 of 70 here — alongside 69 others — read 31 August 2026
🕵️ Telescan вещает @tele_scan · 105,206 Telegram ranks this channel #23 of 54 here — alongside 53 others — read 21 August 2026
Investigation & Forensic TOOLS @forensictools · 22,368 Telegram ranks this channel #28 of 74 here — alongside 73 others — read 20 September 2026
S.E.Book @S_E_Book · 23,170 Telegram ranks this channel #35 of 64 here — alongside 63 others — read 19 September 2026
Cyber Detective @cybdetective · 27,264 Telegram ranks this channel #35 of 49 here — alongside 48 others — read 11 September 2026
Russian OSINT @Russian_OSINT · 47,701 Telegram ranks this channel #35 of 82 here — alongside 81 others — read 26 August 2026
Борьба с киберпреступностью | F6 @f6_cybersecurity · 22,323 Telegram ranks this channel #39 of 85 here — alongside 84 others — read 21 September 2026
Профайлинг, нейротехнологии и детекции лжи @ProProfiIing · 23,133 Telegram ranks this channel #39 of 87 here — alongside 86 others — read 19 September 2026
Лаборатория хакера @lab_hack · 25,564 Telegram ranks this channel #47 of 71 here — alongside 70 others — read 14 September 2026
infosecurity @tg_infosec · 26,786 Telegram ranks this channel #51 of 74 here — alongside 73 others — read 11 September 2026
ZeroDay | Кибербезопасность @cybersec_academy · 42,838 Telegram ranks this channel #54 of 70 here — alongside 69 others — read 29 August 2026
infosec @it_secur · 61,761 Telegram ranks this channel #54 of 81 here — alongside 80 others — read 22 August 2026
Social Engineering @Social_engineering · 125,008 Telegram ranks this channel #57 of 82 here — alongside 81 others — read 13 August 2026
Белый хакер @bezopasno_soft · 29,706 Telegram ranks this channel #64 of 78 here — alongside 77 others — read 8 September 2026
Этичный Хакер @hack_less · 229,400 Telegram ranks this channel #64 of 81 here — alongside 80 others — read 12 August 2026
This channel appears in 21 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Мыслить как безопасник” (@artemov_security), 9,043 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/artemov_security.
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.