Technology — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 3 other registered channels. This entry also sits inside a group of 5 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 37 of the 37 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 180 comparable posts for this entry, running 3 August 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 5 channels, the one whose matching posts we hold earliest is @true_secator. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual, last confirmed 13 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 5 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
62 measurements spanning 99 days, net -15. 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 26,742–26,895 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
13 Nov 2026, 22:46
26,828
-17
11 Nov 2026, 07:50
26,845
-2
9 Nov 2026, 16:39
26,847
-1
8 Nov 2026, 06:28
26,848
-7
7 Nov 2026, 04:38
26,855
-5
6 Nov 2026, 03:15
26,860
-2
5 Nov 2026, 04:55
26,862
+1
4 Nov 2026, 06:20
26,861
-2
3 Nov 2026, 07:21
26,863
+2
2 Nov 2026, 10:06
26,861
-5
1 Nov 2026, 09:30
26,866
+2
31 Oct 2026, 09:21
26,864
-3
30 Oct 2026, 11:15
26,867
-1
29 Oct 2026, 12:56
26,868
-8
28 Oct 2026, 09:28
26,876
+3
27 Oct 2026, 09:30
26,873
-1
26 Oct 2026, 10:30
26,874
-3
25 Oct 2026, 12:16
26,877
+8
24 Oct 2026, 13:55
26,869
+3
23 Oct 2026, 11:45
26,866
first reading
Engagement
221 posts held, back to 3 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 167 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.24%
avg views ÷ 26,828 subscribers
Avg views / post
1,940
85 posts measured
Reaction rate
0.656%
reactions ÷ views · ER floor
Posts in window
85
of 221 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 80 of 85 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 13 November 2026
Posts held
221 (3 August 2026 – 13 November 2026)
Views total
164,997
Reactions total
1,023
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 21:01 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
6m 13s
Average length
29s
Measured directly from 13 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
3,396 reactions across 207 posts, in 46 distinct kinds. The most used accounts for 23.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
786
23.1%
😁
714
21.0%
❤
569
16.8%
🤣
362
10.7%
🔥
239
7.04%
❤🔥
106
3.12%
😭
103
3.03%
💯
67
1.97%
✍
60
1.77%
⚡
56
1.65%
🤔
41
1.21%
☃
30
0.883%
🫡
29
0.854%
🕊
26
0.766%
🤩
20
0.589%
🤯
20
0.589%
😢
19
0.559%
😎
17
0.501%
🆒
16
0.471%
🗿
14
0.412%
26 further kinds
102
3.00%
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 211 of the 221 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 3,396 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 221 most recent posts we hold, published 3 August 2026 to 13 November 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
2
across the posts below
Posts paid on
2
of 221 we hold a reading for · 0.9%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tg_infosec. 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 221 most recent posts we hold for this entry, published 3 August 2026 to 13 November 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
5.43%
12 of 221 posts carry an ad marker
Regulatory tokens
12
posts carrying an erid · 12 distinct tokens
Median views · ads
1,830
over 12 measured posts
Median views · rest
2,130
over 209 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2SDnjdxFQaw
1
13 October 2026
13 October 2026
2SDnje5KQ3n
1
29 October 2026
29 October 2026
2VtzquYKPxR
1
19 October 2026
19 October 2026
2VtzqvHNzx3
1
12 August 2026
12 August 2026
2VtzqvwcGu9
1
2 September 2026
2 September 2026
2VtzqwfJjYq
1
28 October 2026
28 October 2026
2VtzqxjJNZC
1
13 November 2026
13 November 2026
2W5zFGg9sDs
1
14 October 2026
14 October 2026
2W5zFGgkREh
1
3 September 2026
3 September 2026
2W5zFHLz153
1
22 October 2026
22 October 2026
2W5zFJNayqj
1
21 October 2026
21 October 2026
2W5zFJdCmdK
1
26 October 2026
26 October 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 221 most recent posts we hold, published 3 August 2026 to 13 November 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
Telegram’s own ‘edited’ marker: 1 of 85 posts held from the last 30 days (1.18%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
• Около 30 минут назад Telegram отключил HTML-виджеты в чатах — они перестали работать у всех пользователей. После того как это произошло, Павел написал в своем канале, что такой такой уязвимости не существует и предложил взломать его аккаунт... Что происходит???
#Telegram
• Исследователи из v12 обнаружили очередной RCE в виджетах Telegram — на этот раз в самой последней версии Telegram Desktop для Windows. Логика остается прежней — атакующий может запустить любое приложение на устройствах с ОС Windows. Демонстрация показана на видео выше. Исправления пока нет.
• Единственный вариант защититься — установить в настройках конфиденциальности функцию, которая позволяет неизвестным конта…
• 22 года назад немецкий школьник Свен Яшан создал сетевого червя Sasser. Спустя сутки началась целая эпидемия, а вирус наделал немало шума и вреда в финансовом эквиваленте, хотя изначально не имел такой цели.
• Червь распространялся, используя уязвимость в службе LSASS Microsoft Windows, при этом не требовал никаких действий со стороны жертвы для активации.
• Вирус создавал FTP сервер на порту 5554 для своего р…
Релиз прошёл. Через неделю в API находят SQLi.
AppSec переносит безопасность туда, где уязвимость ещё можно исправить в процессе разработки.
AppSec-инженер в Codeby Academy — 7 месяцев практики на реальных приложениях и инструментах, которые используют в продакшене.
Внутри курса:
⏺️разбор уязвимостей OWASP на реальных приложениях
⏺️SAST/DAST инструменты, которые используют в боевых командах
⏺️Threat Modeling и Secu…
• Как думаете, с чего началась история IoT устройств?
• Неформально история технологии интернета вещей началась с автомата Coca-Cola в 1982 году. Сначала это был обычный вендинговый аппарат на третьем этаже одного из университета США. Запасы бутылок в нем заканчивались очень быстро, и студенты, поднимаясь на третий этаж, как правило, разочарованно возвращались в аудиторию с пустыми руками.
• Чтобы не подниматься…
Данные клиентов Notion утекли в результате взлома ИИ-платформы Fireworks. Правда, как заявляется, злоумышленники получили доступ к расшифровкам чатов менее чем 1% рабочих пространств Notion.
Универсальная платформа для совместной работы и повышения производительности Notion сейчас рассылает уведомления в адрес ограниченного круга клиентов, предупреждая о компрометации их информации в результате утечки данных, связан…
☢️ Win.CIH.
• 27 лет назад многих пользователей ПК под управлением Windows 9х/МЕ поджидал неприятный сюрприз: данные на жестких дисках их ПК оказались уничтожены, а в отдельных случаях машина отказывалась работать из-за повреждения BIOS. Эта неприятность стала следствием заражения ПК резидентным вирусом CIH, более известным под именами "Чернобыль" и "Spacefiller".
• Автором вируса, от которого пострадало по разны…
• Podroid - очень крутой проект, который предназначен для запуска Linux-контейнеров на Android устройствах без root-прав. Решение позволяет пользователю запускать на устройстве под управлением Android (Android 9+ arm64) облегчённую виртуальную машину Alpine Linux с использованием QEMU и предоставляет полностью работоспособную среду выполнения контейнеров Podman со встроенным терминалом.
• Исходный код Podroid напи…
• Два эксперта по информационной безопасности выкатили интересное исследование, в рамках которого описали ряд уязвимостей в веб-приложениях двух крупных автопроизводителей. Эти уязвимости позволили экспертам полностью перехватывать контроль над автомобилем, открывать и закрывать двери, запускать двигатель, а также получить геолокацию тачки.
• За последние несколько лет эксперты нашли способы дистанционного управле…
⌨️ ZX Spectrum исполнилось 44 года.
• в 70-х годах прошлого века компьютерная техника была доступна только научным работникам, финансистам и представителям других сфер. Компьютеры использовали только для работы. Но к концу 70-х появился еще один вариант эксплуатации электронных систем - это развлечения, в частности, игры.
• Некоторые производители, поняв, что на такого рода компьютеры есть спрос, начали разработк…
• Lazyjournal - это терминальный интерфейс для поиска и анализа логов из различных источников, таких как journald, #Docker и #Kubernetes. Тулза является альтернативой ELK, GrayLog или Loki, которая в первую очередь будет полезна для домашней среды.
• Очень простая установка - для запуска достаточно загрузить в систему один исполняемый файл без зависимостей.
• В lazyjournal реализована встроенная подсветка по клю…
⚡3❤2
Showing the 12 most recent of 221 posts we hold for @tg_infosec. 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.
Posts recorded as deleted after publishing
We recorded 15 posts on @tg_infosec as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
14 August 2026
Most recent seen missing
12 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
7
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 4 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 11 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Social Engineering @Social_engineering · 124,659 Telegram ranks this channel #3 of 82 here — alongside 81 others — read 13 August 2026
Белый хакер @bezopasno_soft · 29,593 Telegram ranks this channel #6 of 78 here — alongside 77 others — read 8 September 2026
ZeroDay | Кибербезопасность @cybersec_academy · 42,579 Telegram ranks this channel #6 of 70 here — alongside 69 others — read 29 August 2026
infosec @it_secur · 63,440 Telegram ranks this channel #7 of 81 here — alongside 80 others — read 22 August 2026
Бункер Хакера @book_academ · 21,293 Telegram ranks this channel #8 of 72 here — alongside 71 others — read 23 September 2026
S.E.Book @S_E_Book · 23,084 Telegram ranks this channel #8 of 64 here — alongside 63 others — read 19 September 2026
S.E.Reborn @S_E_Reborn · 22,449 Telegram ranks this channel #9 of 66 here — alongside 65 others — read 20 September 2026
Mycroft Intelligence @mycroftintel · 20,680 Telegram ranks this channel #10 of 76 here — alongside 75 others — read 25 September 2026
Mr. Robot @elliot_cybersec · 38,905 Telegram ranks this channel #13 of 70 here — alongside 69 others — read 31 August 2026
PulSe @Pulsechanel · 20,018 Telegram ranks this channel #14 of 69 here — alongside 68 others — read 29 September 2026
Life-Hack - Хакер @haccking · 63,001 Telegram ranks this channel #16 of 85 here — alongside 84 others — read 21 August 2026
Чёрный Треугольник @black_triangle_tg · 63,962 Telegram ranks this channel #16 of 87 here — alongside 86 others — read 21 August 2026
Этичный Хакер @hack_less · 243,060 Telegram ranks this channel #16 of 81 here — alongside 80 others — read 12 August 2026
InfoSec Portal @cybersecinform · 20,051 Telegram ranks this channel #18 of 75 here — alongside 74 others — read 2 October 2026
no system is safe // cybersec @nsis_cybersec · 21,145 Telegram ranks this channel #18 of 71 here — alongside 70 others — read 23 September 2026
Лаборатория хакера @lab_hack · 25,404 Telegram ranks this channel #18 of 71 here — alongside 70 others — read 14 September 2026
Пакет Безопасности @package_security · 33,848 Telegram ranks this channel #19 of 82 here — alongside 81 others — read 4 September 2026
Хакер — Xakep.RU @xakep_ru · 40,321 Telegram ranks this channel #19 of 83 here — alongside 82 others — read 30 August 2026
CYBER HUNTER - Кибербезопасность @cyberbezopasno · 58,602 Telegram ranks this channel #19 of 50 here — alongside 49 others — read 26 August 2026
Интернет-Розыск @irozysk · 45,710 Telegram ranks this channel #20 of 79 here — alongside 78 others — read 27 August 2026
Termux, please @termuxplz0x41 · 32,412 Telegram ranks this channel #22 of 54 here — alongside 53 others — read 4 September 2026
Codeby @codeby_sec · 37,083 Telegram ranks this channel #25 of 76 here — alongside 75 others — read 1 September 2026
IT и безопасность @tg_security · 26,805 Telegram ranks this channel #26 of 91 here — alongside 90 others — read 12 September 2026
Task No Face @TaskNoFace · 28,969 Telegram ranks this channel #27 of 78 here — alongside 77 others — read 8 September 2026
This channel appears in 50 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 13 November 2026 — this
entry's latest reading, not the date you are reading this.
“infosecurity” (@tg_infosec), 26,828 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/tg_infosec.
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.