Telegram RegisterThe public register of Telegram

Channel

КІБЕРБЕЗ

@cybersecurity_ua

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Citations · Cite this entry

53,249subscribers

+4 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001694982766
TypeChannel
Username@cybersecurity_ua
Description✈️ Я Олександр. Тут без вати та води. Весь контент має виключно ознайомчий характер! TikTok: tiktok.com/@cyberbezpeka YouTube: youtube.com/@cyberbezpeka На рахунок реклами/співпраці - ЄДИНИЙ АДМІН @kyberbezUA
Created28 July 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/cybersecurity_ua

Growth

53,24553,29053,267.56 August 2026 — 53,245 subscribers6 August 2026 — 53,248 subscribers7 August 2026 — 53,290 subscribers8 August 2026 — 53,271 subscribers9 August 2026 — 53,249 subscribers10 August 2026 — 53,260 subscribers11 August 2026 — 53,257 subscribers12 August 2026 — 53,249 subscribers53,2496 August 202612 August 2026
8 measurements spanning 6 days, net +4. 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 53,238–53,297 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 15:3353,249-8
11 Aug 2026, 12:2853,257-3
10 Aug 2026, 09:4053,260+11
9 Aug 2026, 07:1253,249-22
8 Aug 2026, 10:2053,271-19
7 Aug 2026, 12:2153,290+42
6 Aug 2026, 10:2153,248+3
6 Aug 2026, 04:0753,245first reading

Engagement

18 posts held, back to 16 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.0%
avg views ÷ 53,249 subscribers
Avg views / post
13,300
18 posts measured
Reaction rate
0.62%
reactions ÷ views · ER floor
Posts in window
18
of 18 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
WindowRolling 30 days · latest post in window 12 August 2026
Posts held18 (16 July 202612 August 2026)
Views total239,700
Reactions total1,485
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 08:05 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
635
Videos
363
Links
850

Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
7m 08s
Average length
48s

Measured directly from 9 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

1,485 reactions across 18 posts, in 22 distinct kinds. The most used accounts for 58.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍86858.5%
30020.2%
🤬1026.87%
🔥865.79%
😁231.55%
👌171.14%
👏140.943%
130.875%
🗿110.741%
❤‍🔥80.539%
🆒70.471%
😱50.337%
🤡50.337%
🤣50.337%
👎40.269%
💊40.269%
😍30.202%
🤪30.202%
🤔20.135%
🤮20.135%
2 further kinds30.202%

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 18 of the 18 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 1,485reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 16 July 2026 to 12 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
7
across the posts below
Posts paid on
3
of 18 we hold a reading for · 17%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @cybersecurity_ua. 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 18 most recent posts we hold for this entry, published 16 July 2026 to 12 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
5.56%
1 of 18 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
12,800
over 1 measured post
Median views · rest
14,000
over 17 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 18 most recent posts we hold, published 16 July 2026 to 12 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.

Recent posts

12 Aug 2026, 19:26 UTC≈5,400 views59 reactionsread 13 August 2026
Video

🪩 Архів та візуалізація сонячних затемнень Where the Shadow Fell — інтерактивний 3-Д глобус (архів) з візуалізацією сонячних затемнень за приблизно останні 5000 років. В період від 2000 року до н. е. до 3000 року н. е. - загалом 11 898 затемнень. Доступне сортування за роком, місцем або типом затемнення: повні, кільцеподібні, гібридні та часткові. Сервіс не просто показує затемнення на карті, а дозволяє досліджувати

👍4510🔥3👌1

12 Aug 2026, 07:34 UTC≈6,830 views23 reactionsread 13 August 2026
Photo

🔹 Компанія R&B Team - експерт у сфері кібербезпеки - запрошує на безкоштовний вебінар «SOC as a Service від R&B Team: як працює і що ви отримуєте». Під час вебінару експерти R&B Team продемонструють, як працює SOC as a Service на практиці, розглянуть повний цикл виявлення та реагування на інциденти, а також висвітлять можливості сервісу для бізнесу. Ви дізнаєтеся, як організувати ефективний моніторинг кіберзагроз

👍13👌53👎1😁1

10 Aug 2026, 18:52 UTC≈8,870 views48 reactionsread 13 August 2026
Video

👥 Сліди ШІ-редагування та неточність ШІ-детекторів Reality Check — знайдіть неправдиву або відредаговану ШІ деталь на фото. Тут фото справжні, але на них навмисно додали деталі, згенеровані ШІ. Вам потрібно знайти ці деталі. Відповіді можуть бути очевидні в деяких кейсах, але в інших ця очевидність може зіграти проти вас. По суті, ці два сервіси - це візуальний аналіз, а не технічний, що у випадку з ШІ є більш надій

👍38🔥43👌2🦄1

7 Aug 2026, 17:19 UTC≈13,500 views114 reactions1 Starread 13 August 2026
Video

🌨 Справжнє небо над вами в прямому ефірі Stowaway — відображається кожен літак і супутник, що пролітають над головою. Інструмент імітує справжнє небо за вашим місцезнаходженням або координатами: ваша погода, освітлення (наприклад захід Сонця) саме в цю хвилину. Літаки, що відображені на небі - це справжні літаки, які транслюють своє положення, поки ви за ними спостерігаєте. Натисніть на один із них, і камера почне с

👍8214🔥9😍3❤‍🔥2👏2👎1🙉1

5 Aug 2026, 19:26 UTC≈13,400 views92 reactionsread 13 August 2026
Video

🌎 Створюємо власні карти PrintMap — інструмент для створення кастомних карт, які можна друкувати або використовувати в цифровому вигляді. Регулюється майже все: ширина доріг, умовні позначення, функції 3D-рельєфу з можливістю регулювання його рівня, та 3D-будівель. Вигляд зверху/збоку/знизу - як вам потрібно. Додавайте позначення, виділяйте певні області, позначайте різні об'єкти, прокладайте маршрути, додавайте сво

👍60🔥218❤‍🔥2👏1

5 Aug 2026, 14:04 UTC≈12,800 views41 reactionsread 13 August 2026
Advertisement

⏰ Повноекранне нагадування про зустріч, яке важко пропустити Це застосунок тільки для macOS 13+. Платний, але без підписки — купуєш один раз, коштує як дві шаурми. Minute Left замінює звичайне спливаюче нагадування про зустріч на повноекранний алерт на весь монітор. Звичайну нотифікацію легко проґавити: вона з'являється в кутку, зникає сама, її ховає режим «Не турбувати». Minute Left так сховати не вийде — це окрем

23🗿6👍5💊4🤪3

3 Aug 2026, 18:14 UTC≈15,200 views60 reactionsread 13 August 2026
Photo

🥷🏻 Сервіси перевірки витоків даних та їх видалення Best Free Data Breach Checker Tools — 12 найкращих безкоштовних інструментів для перевірки на витік даних. Це покроковий практичний посібник зі скріншотами про те, як користуватися кожним із цих інструментів і для яких категорій пошуку вони підходять. https://researchclinic.net/#Security — cервіси перевірки витоків даних — дізнайтеся, чи не потрапили ваші особисті

👍469🔥4👌1

31 Jul 2026, 17:03 UTC≈15,200 views128 reactions1 Starread 13 August 2026
Video

🪩 Візуалізатор Wi-Fi з доповненою реальністю NetLens — теплова карта Wifi з доповненою реальністю. Тримайте телефон перед собою та йдіть. Камера відстежує ваш рух у просторі, тож кожен показник Wifi прив'язується у 3D - без налаштувань і без маркерів на стінах. Без облікового запису. Скан, перегляд і експорт працюють офлайн. Тільки залиште Wifi увімкненим, щоб Android бачив сусідні мережі - сам NetLens до них не під

👍10619👌2👎1

31 Jul 2026, 07:02 UTC≈13,600 views48 reactionsread 13 August 2026
Photo

✈️ Штучний інтелект ефективно використовують для розпізнавання дронами військових об’єктів та аерофотозйомки. Опануйте ключову технологію для розпізнавання облич, аналізу зображень, керування безпілотниками й не тільки — на курсі Computer Vision від robot_dreams. Після 21 заняття ви:⠀ 👁 опануєте основи детекції об’єктів за допомогою YOLO, SSD, TinyYOLO та SqueezeDet 👁 застосовуєте принципи ML для аналізу зображень

👍319🔥4🤮2👌1👎1

28 Jul 2026, 18:13 UTC≈15,200 views76 reactionsread 13 August 2026
Photo

👥 Інформаційно-психологічні операції та аналіз соціальних мереж SOCMINT: Advanced Social Network Analysis & Digital Influence Detection — розширений аналіз соціальних мереж та виявлення цифрового впливу. Посібник з операцій інформаційного впливу: розуміння процесів створення, поширення, маніпулювання та підходів протидії наративам, маніпуляції громадською думкою, дезінформації. Виявлення використання фейкових акаунт

44👍20🔥7🆒3👏1😁1

27 Jul 2026, 17:23 UTC≈13,700 views89 reactionsread 13 August 2026
Video

🏪 Причинно-наслідкові зв'язки в історії та архіви Cateno — досліджуємо причинно-наслідкові зв'язків в історії. Хто б міг подумати, що виверження вулкана в Індонезії в 1815 році спричинило найхолодніше літо за 500 років, яке якимось чином призвело до появи Франкенштейна, велосипеда та першої пандемії холери. І все це з одного й того ж виверження. Це граф історичних подій. Наприклад, Перша світова — кожен вузол предст

👍6024🔥4👌1

26 Jul 2026, 15:24 UTC≈15,100 views89 reactionsread 13 August 2026
Photo

🥷🏻 OSINT, безпека та анонімність в Telegram 12 Best Telegram Search Engines — кращі пошуковики в Телеграм. 12 найпопулярніших та найефективніших пошукових систем, призначених для швидкого пошуку каналів і груп в Telegram без використання пошукових ботів. Автор перевірив всі ресурси з цього списку та додав свій короткий висновок до кожного із них. Open-Source Intelligence or OSINT: You Can’t Hide on Telegram — ще од

👍6616🔥42👏1

Showing the 12 most recent of 18 posts we hold for @cybersecurity_ua. 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 — 228,925 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

Names

Channels on the register whose handles appear in this channel's posts.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“КІБЕРБЕЗ” (@cybersecurity_ua), 53,249 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/cybersecurity_ua.

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.