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 9 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
35 measurements spanning 50 days, net +4,556. 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 32,405–38,327 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
25 Sept 2026, 14:21
37,644
+409
18 Sept 2026, 23:39
37,235
+292
16 Sept 2026, 13:16
36,943
+201
14 Sept 2026, 15:55
36,742
+24
13 Sept 2026, 02:17
36,718
+144
11 Sept 2026, 06:35
36,574
+1,050
8 Sept 2026, 11:35
35,524
+214
5 Sept 2026, 03:42
35,310
+234
3 Sept 2026, 12:59
35,076
+458
2 Sept 2026, 06:07
34,618
+71
1 Sept 2026, 03:04
34,547
+84
31 Aug 2026, 04:08
34,463
-1
30 Aug 2026, 06:13
34,464
+32
29 Aug 2026, 06:13
34,432
+28
28 Aug 2026, 06:26
34,404
+121
27 Aug 2026, 08:06
34,283
+27
26 Aug 2026, 06:11
34,256
+72
25 Aug 2026, 09:37
34,184
+144
24 Aug 2026, 06:07
34,040
+30
22 Aug 2026, 13:23
34,010
first reading
Engagement
143 posts held, back to 4 August 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 89 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
38.2%
avg views ÷ 37,644 subscribers
Avg views / post
14,400
66 posts measured
Reaction rate
0.366%
reactions ÷ views · ER floor
Posts in window
66
of 143 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 September 2026
Posts held
143 (4 August 2026 – 27 September 2026)
Views total
949,110
Reactions total
3,478
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Sept 2026, 03:02 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
Photos
≈2,530
Videos
≈354
Links
≈2,230
Lifetime counters from Telegram’s own channel header, read 28 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
13m 12s
Average length
44s
Measured directly from 18 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
6,790 reactions across 139 posts, in 33 distinct kinds. The most used accounts for 41.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,795
41.2%
⚡
1,486
21.9%
🔥
700
10.3%
custom 5213256614127086482
305
4.49%
✍
282
4.15%
🙏
252
3.71%
👍
214
3.15%
💯
144
2.12%
🤝
114
1.68%
👾
78
1.15%
👀
74
1.09%
👨💻
57
0.839%
❤🔥
56
0.825%
😱
55
0.81%
🤔
39
0.574%
👏
22
0.324%
😨
20
0.295%
🕊
19
0.28%
🏆
13
0.191%
🤷♀
12
0.177%
13 further kinds
53
0.781%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 143 of the 143 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 6,957 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 143 most recent posts we hold, published 4 August 2026 to 27 September 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
335
across the posts below
Posts paid on
136
of 143 we hold a reading for · 95%
Most on one post
11
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @cyberpoolofsharks. 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 143 most recent posts we hold for this entry, published 4 August 2026 to 27 September 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.
🆕Кибердайджест уходящей недели с 21 по 27 сентября 2026 года
📌Киберпонедельник: скептически относись к неожиданным письмам и вложениям. Если «подарки» приходят из банка, почтового сервиса или службы доставки - лучше перепроверить на официальном сайте.
📌В Минске за кибермошенничество на серьезные сроки осудили дроповодов: в уголовном деле более 2000 потерпевших и миллионный ущерб
📌Открытый диалог родителей и детей …
🆕 Хакерская атака на криптобиржу Bitget
🔵Киберпреступники 🥸 получили доступ к внутренним системам биржи и использовали их для подделки транзакций, после чего вывели средства 🪙.
➡️Вывод затронул только «горячие» кошельки (подключённые к интернету). Холодные кошельки, изолированные от сети ❌, остались в безопасности.
🔵Ущерб превысил $350 миллионов.
➡️Этот случай может стать крупнейшей хакерской атакой за год.
🎥Установл…
🎬Вечер субботы - время кино
🎥Фильм 🔞 «Поиск» (Searching, 2018) - это триллер в необычном формате screenlife, где все действия разворачиваются на экранах компьютеров и смартфонов.
〰️ Сюжет:
После исчезновения 16-летней дочери Марго её отец Дэвид Ким (Джон Чо) взламывает 💻 её ноутбук и начинает собственное расследование 🔎. У полиции нет зацепок, и единственный след - цифровой: переписки, поисковые запросы, соцсети. Че…
🔵Операция «Неравнодушие» как постоянное явление: сотрудница банка в Клецке спасла женщину от перевода денег фейковому «😎Илону Маску»,который в TikTok и WhatsApp обещал Tesla и деньги.
✅Помните, если просят оплатить «доставку приза» или «подтвердить выигрыш» - это мошенничество.
#киберновости #беларусь #киберпул #кибербезопасность
➡️Подписаться
⭐️Буст канала
💔ВЗЛОМАННЫЕ СЕРДЦА: как мошенники создают идеальных «партнёров» - и выманивают деньги у белорусок
⚪️Аферисты создают фейковые аккаунты 🥸 в социальных сетях и мессенджерах, используя привлекательные фотографии и вымышленные истории для знакомств.
✅Их цель - завоевать доверие и завладеть денежными средствами под различными предлогами.
Мы собрали несколько примеров из TikTok ™️:
😶🌫️«Richard Tyler» 🤥
➡️В ходе общения зл…
👩⚕️💋😛😲🔏💋😛😖 - так говорят мошенники!
‼️Про «акт проверки происхождения денежных средств», который якобы спасёт от обыска.
Спойлер: такого акта НЕТ.
🧠Голос уверенный, слова официальные давят страхом: «обыск», «проверка», «срочно».
Не поддавайтесь!
〰️Слушайте #развод_в_эфире, чтобы не растеряться,если вам позвонят аферисты.
#киберпреступность #киберновости #мошенники #скам #вишинг
✨Подписаться
⚡Буст канала
#приплыли
🔵В Минске за кибермошенничество на серьезные сроки осудили дроповодов
➡️В 2020-2021 годах пятеро фигурантов входили в состав организованной группы и выполняли роли «дропов», «дроповодов».
«Дроповод» – человек, занимающийся вербовкой и организацией «дропов», то есть лиц, предоставляющих свои банковские реквизиты (карту, счет) для перевода или обналичивания похищенных денежных средств.
🔵Группа выводила похище…
✅Важно действовать быстро, чтобы минимизировать последствия
1️⃣Проверьте доступ
Попробуйте войти в свой аккаунт. Если доступ есть, немедленно измените пароль вашей учетной записи Telegram и связанного с ним адреса электронной почты.
2️⃣Проверьте подключенные устройства
Зайдите в настройки, выберите "Устройства" и завершите сессии на всех устройствах, кроме своего.
Это поможет выйти из аккаунта на устройствах злоумышл…
⚡Осторожно: «ООО Премиум обувь» - это мошенники
™️У них страница в Instagram и группы в ™️Telegram.
🐶Аферисты выдают себя за продавцов обуви: известные мировые бренды-копии по супер ценам.
🎥«Premiun Менеджер» охотно все расскажет, но это - обман.
🔄Предупредите близких.
#киберновости #беларусь #киберпул #кибербезопасность
✅КиберПул
🆕 Активизация мошенников под видом Национального банка
🔴 Гражданам Беларуси поступают звонки 📞через мессенджер Telegram с аккаунта @rb2172 (ID 8858393321) 🤥.
✈️Злоумышленники действуют от имени Национального банка Республики Беларусь 🥸 и убеждают оформить кредит, чтобы «закрыть мошенникам доступ к кредитной истории».❌
⚪️Мошенники, используя указанный аккаунт, пытались похитить 30 000 белорусских рублей у жителя Брест…
👩⚕️💋😛😲🔏💋😛😖
🔵Мошеннический аккаунт магазина цветов 💐в Instagram изменил название: @evitaflow.by
Ранее магазин назывался @evitaflowers.by 🤥
🔵Злоумышленники меняют названия, чтобы продолжать обманывать покупателей 🥸. Уже пятеро жителей Беларуси перевели деньги, но так и не получили заказанные букеты.
➡️Не оформляйте заказы у данного пользователя!
🔵Блокируйте аккаунт и отправляйте жалобу в службу безопасности Instagram:…
🆕 Хакерская группа ShinyHunters 🥸 заявила, что провела кибератаку на ФБР
🔴Хакеры утверждают, что во время атаки получили доступ к ресурсам ФБР и украли данные почти всех сотрудников и тех, кто подавал заявку на работу.
Похищено от 2 до 3 ТБ
🔴 Для доказательства они передали журналистам базу на 5 000 человек: имена, домашние адреса, даты рождения, номера телефонов и данные супругов.
➡️Журналисты 404 Media получили дан…
❤15👍6🔥6custom 52132566141270864823😨2🙏2⚡1
Showing the 12 most recent of 143 posts we hold for @cyberpoolofsharks. 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.
Posts edited after publishing
@cyberpoolofsharks edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
10 August 2026
Most recent edit
28 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 98 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 110 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
2
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
2
vacant every time we have ever looked
@cyberpoolofsharks named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@evitaflowers named in 7 posts, 20 August 2026 – 27 September 2026
@rotang_by named in 4 posts, 15 August 2026 – 21 August 2026
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“КиберПул” (@cyberpoolofsharks), 37,644 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/cyberpoolofsharks.
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.