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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
27 measurements spanning 34 days, net -20. 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 22,263–22,302 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
9 Sept 2026, 13:58
22,267
-16
6 Sept 2026, 05:15
22,283
-14
4 Sept 2026, 00:21
22,297
+16
2 Sept 2026, 16:26
22,281
+4
1 Sept 2026, 16:44
22,277
-2
31 Aug 2026, 18:23
22,279
+5
29 Aug 2026, 18:53
22,274
-2
28 Aug 2026, 18:24
22,276
-1
27 Aug 2026, 19:43
22,277
+4
26 Aug 2026, 16:24
22,273
-1
24 Aug 2026, 16:57
22,274
-7
23 Aug 2026, 03:51
22,281
-2
21 Aug 2026, 16:14
22,283
-1
19 Aug 2026, 13:02
22,284
+3
18 Aug 2026, 16:12
22,281
-8
17 Aug 2026, 19:08
22,289
+5
16 Aug 2026, 15:07
22,284
+2
14 Aug 2026, 21:13
22,282
-3
13 Aug 2026, 11:18
22,285
+5
12 Aug 2026, 11:24
22,280
first reading
Engagement
56 posts held, back to 20 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.2%
avg views ÷ 22,267 subscribers
Avg views / post
2,280
31 posts measured
Reaction rate
1.43%
reactions ÷ views · ER floor
Posts in window
31
of 56 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 3 September 2026
Posts held
56 (20 July 2026 – 3 September 2026)
Views total
70,602
Reactions total
1,007
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 12:19 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
11m 03s
Average length
1m 51s
Measured directly from 6 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
1,593 reactions across 49 posts, in 13 distinct kinds. The most used accounts for 38.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
609
38.2%
👍
270
16.9%
❤
220
13.8%
👏
132
8.29%
😱
110
6.91%
✍
86
5.40%
😢
42
2.64%
😁
33
2.07%
🤩
26
1.63%
custom 5303084910230135846
18
1.13%
🎉
18
1.13%
custom 5300938831036444108
15
0.942%
custom 5303477676399418592
14
0.879%
Custom emoji. 3 of the rows above are 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 counts beside them are 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 56 of the 56 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 1,811 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 56 most recent posts we hold, published 20 July 2026 to 3 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
6
across the posts below
Posts paid on
2
of 56 we hold a reading for · 4%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @f6_cybersecurity. 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 56 most recent posts we hold for this entry, published 20 July 2026 to 3 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.
⚡️ Новая волна кампании с ВПО Buhtrap через бухгалтерские сайты-приманки.
Злоумышленники не стали существенно менять используемую схему: ВПО распространяют при помощи сайтов-приманок, ориентированных на бухгалтеров и юристов, а продвигают такие сайты через рекламу в поиске. Подробнее — в этом посте. Новый сайт-приманка представляет собой копию легитимного ресурса «Главная книга бухгалтера».
Основные изменения затро…
⚡️ Интервью технического руководителя TI F6 Елены Шамшиной для «Кибер Медиа» ⚡️ Всё об атрибуции кибератак и о работе аналитиков в эпоху ИИ.
Главное из разговора ⬇️
▪️ Имитировать почерк и направить расследование по ложному следу — возможный, но редкий сценарий. Один из примеров — PseudoSticky. Но чаще всего атрибуция остается вполне однозначной. Во многих случаях атакующие даже сами «пиарят» свои атаки.
▪️ Злоумы…
Мошенник в списке друзей 😧 F6 обнаружила новую схему обмана от имени благотворительных фондов.
Злоумышленники создают фальшивые сайты под брендами известного сервиса онлайн-пожертвований и благотворительного фонда. Мошенники копируют страницы с актуальными объявлениями о сборах, а для большего сходства используют их домены как часть домена поддельного сайта.
Как работает схема ⬇️
▪️ Преступники распространяют ссыл…
👀 Видеть атаку, а не только получать алерты. Чек-лист, который экономит месяцы работы.
Служба ИБ узнает о вторжении в промышленный контур из отчета за прошлый квартал — когда атака уже закончилась. Знакомая картина: мониторинг формально есть, а понимания происходящего в сети — нет.
Антивирус, NGFW, почтовая защита и другие разрозненные средства создают «зоопарк» систем. В момент атаки инженер тратит время не на реа…
F6 — глобальный игрок по борьбе с киберпреступностью ⚡️ Презентуем F6 2025–2026 Cyber Threat Landscape Report — в этом видео.
Для компании это больше, чем исследование, — это следующий шаг в развитии F6 как глобального игрока по борьбе с киберпреступностью и выходу на международные рынки.
Мы посмотрели на киберугрозы шире отдельных атак и группировок. В отчете, предназначенном для CISO и руководителей ИБ, команд Th…
Первый международный ⚡️ F6 выпустила глобальный отчет «Ландшафт киберугроз 2025–2026».
В рамках выхода на международный ИБ-рынок F6 представила первый глобальный аналитический отчет F6 2025–2026 Cyber Threat Landscape Report.
В исследовании разобраны актуальные киберугрозы, текущая ситуация с утечками данных, недавние закрытия подпольных форумов, продажа вредоносного ПО на теневых рынках, а также роль брокеров перв…
Мошенники к школе готовы ⚡️ RuStore и F6 собрали топ популярных схем к началу учебного года.
Эксперты выделили три группы риска: родители, школьники, а также учителя и репетиторы.
Приводим самые популярные схемы ⬇️
1️⃣ Сайты магазинов со канцтоварами, учебниками и формой.
Через ссылки на этих мошеннических ресурсах пользователя уводят на фишинговую форму, где просят ввести данные карты или перевести предоплату. Д…
Thor… а может, лучше VantaCore? F6 исследовала атаки новой группы вымогателей VantaCore и заподозрила в ребрендинге «старых знакомых».
Специалисты Лаборатории цифровой криминалистики и исследования вредоносного кода F6 сообщают о новой угрозе российскому бизнесу. Уже известно минимум о четырех организациях-жертвах.
‼️ По мнению специалистов Лаборатории, есть все основания считать, что новая группировка — ребрендинг…
❗️ Киберразведка для ритейла: как применять данные Threat Intelligence.
Понимание ландшафта киберугроз помогает компании отделять общий информационный фон от действительно релевантных угроз и грамотно распределять ресурсы ИБ-команды.
В новой статье на примере ритейла и e-commerce разбираем ⬇️
▪️ какие признаки подготовки атаки можно обнаружить во внешних источниках;
▪️ к чему могут привести фишинг, компрометация п…
👀 Как подготовить телефон ребенка к 1 сентября?
Форма и канцтовары куплены, рюкзак собран. Но есть еще один неочевидный пункт подготовки ребенка к школе — его смартфон. Гаджеты помогают детям учиться, оставаться на связи с родителями и друзьями, но одновременно открывают доступ ко множеству цифровых рисков.
➡️ Как настроить телефон так, чтобы защитить ребенка от основных угроз — рассказывает эксперт F6 и отец двоих…
Теневой сервис nulltrace заблокирован по обращению CERT F6.
🔍 Что такое nulltrace?
Этот сервис предлагал услуги регистрации доменов в российских зонах без верификации — фактически обслуживал интересы киберпреступников, которые могли анонимно регистрировать сайты для скама, фишинга и др.
⛔️ Как удалось его заблокировать?
CERT F6, круглосуточный центр реагирования на ИБ-инциденты, получил запрос на блокировку фишинго…
⚡️ Type-driven development в Rust, часть 2/5: контракты между компонентами — от эксперта F6.
Продолжаем серию о type-driven development в Rust. В первой части типы отвечали за данные: какие значения возможны и какие комбинации допустимы. Во второй разработчик MXDR F6 Никита Тимофеенко разбирает контракты между компонентами: как записать их в типах, чтобы нарушение контракта не компилировалось.
Во втором материале —…
👍12🔥8❤6🤩2custom 53034776763994185921
Showing the 12 most recent of 56 posts we hold for @f6_cybersecurity. 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 edited after publishing
@f6_cybersecurity edited 1 post 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
17 August 2026
Most recent edit
17 August 2026
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 7 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.
Утечки информации @dataleak · 119,766 Telegram ranks this channel #5 of 83 here — alongside 82 others — read 14 August 2026
Ленинградский Cyber - страж @LenCyber78 · 148,729 Telegram ranks this channel #10 of 54 here — alongside 53 others — read 18 August 2026
Kaspersky @kasperskylab_ru · 28,922 Telegram ranks this channel #18 of 96 here — alongside 95 others — read 9 September 2026
Positive Technologies @Positive_Technologies · 28,863 Telegram ranks this channel #28 of 87 here — alongside 86 others — read 9 September 2026
SecAtor @true_secator · 41,636 Telegram ranks this channel #28 of 78 here — alongside 77 others — read 29 August 2026
Хакер — Xakep.RU @xakep_ru · 39,432 Telegram ranks this channel #29 of 83 here — alongside 82 others — read 30 August 2026
SecurityLab.ru @SecLabNews · 84,085 Telegram ranks this channel #30 of 90 here — alongside 89 others — read 18 August 2026
Вестник Киберполиции России @cyberpolice_rus · 83,882 Telegram ranks this channel #33 of 92 here — alongside 91 others — read 18 August 2026
Russian OSINT @Russian_OSINT · 47,551 Telegram ranks this channel #34 of 82 here — alongside 81 others — read 26 August 2026
Пост Лукацкого @alukatsky · 37,763 Telegram ranks this channel #42 of 89 here — alongside 88 others — read 31 August 2026
Codeby @codeby_sec · 36,955 Telegram ranks this channel #47 of 76 here — alongside 75 others — read 1 September 2026
Positive Hack Days Media @positivehackmedia · 30,846 Telegram ranks this channel #54 of 88 here — alongside 87 others — read 6 September 2026
Life-Hack - Хакер @haccking · 63,201 Telegram ranks this channel #56 of 85 here — alongside 84 others — read 21 August 2026
OSINT mindset @osint_mindset · 64,457 Telegram ranks this channel #61 of 83 here — alongside 82 others — read 21 August 2026
Social Engineering @Social_engineering · 125,064 Telegram ranks this channel #63 of 82 here — alongside 81 others — read 13 August 2026
This channel appears in 15 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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Борьба с киберпреступностью | F6” (@f6_cybersecurity), 22,267 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/f6_cybersecurity.
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.