7 measurements spanning 12 days, net -1. 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 9,399–9,407 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Aug 2026, 03:32
9,400
-6
14 Aug 2026, 22:03
9,406
+1
11 Aug 2026, 17:31
9,405
-1
9 Aug 2026, 01:31
9,406
+4
6 Aug 2026, 07:40
9,402
+1
6 Aug 2026, 02:50
9,401
no change
6 Aug 2026, 02:02
9,401
first reading
Engagement
33 posts held, back to 14 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
16.3%
avg views ÷ 9,400 subscribers
Avg views / post
1,530
28 posts measured
Reaction rate
0.75%
reactions ÷ views · ER floor
Posts in window
28
of 33 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 27 of 28 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 18 August 2026
Posts held
33 (14 July 2026 – 18 August 2026)
Views total
42,945
Reactions total
312
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
18 Aug 2026, 16:00 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
≈982
Videos
≈107
Links
≈1,530
Lifetime counters from Telegram’s own channel header, read 18 August 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
40s
Average length
40s
Measured directly from 1 video 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
322 reactions across 28 posts, in 15 distinct kinds. The most used accounts for 25.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
82
25.5%
👍
80
24.8%
👏
48
14.9%
🤯
33
10.2%
😁
29
9.01%
😱
22
6.83%
❤
8
2.48%
🤔
5
1.55%
👎
3
0.932%
💯
3
0.932%
😍
3
0.932%
🤣
3
0.932%
🌚
1
0.311%
💩
1
0.311%
🤩
1
0.311%
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 32 of the 33 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 367reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 14 July 2026 to 18 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.
📌 Немного о полиглотах
Слово «полиглот» вошло в обиход ИБ относительно недавно. Этим термином стали называть файлы, которые корректно открываются обработчикам разных форматов, например архиватором и редактором PDF. Этой двусмысленностью пытаются воспользоваться злоумышленники: обходить почтовые фильтры при доставке ВПО, обманывать жертву фишинга, и так далее.
Многие варианты полиглотов стали возможны потому, что а…
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Внимание! Код: котики 🐱
В финальном эпизоде нашего мини-сериала про интеграционные возможности Kaspersky NGFW показываем, как выглядит проверка мемов от коллег подозрительных файлов вместе с Kaspersky Anti Targeted Attack (KATA) и Kaspersky Security Network (KSN).
Как это работает:
🟢KSN ищет сомнительный файл в актуальной базе киберугроз со всего мира.
🟢KATA анализирует вложение в изолированной среде Sandbox и выно…
🔒Пссс, этот выпуск «Смени пароль!» мы записали на закрытой ИБ-конференции Kaspersky КиберКэмп, где говорили об ИИ в кибербезопасности.
ИИ уже может заменить собой целый SOC, поймать очень скрытные APT и провести имитацию атаки (редтиминг) гораздо быстрее людей.
Но что делать, если у одних не будет доступа к ведущим LLM, а другие будут применять их во вред? Ведёт ли ИИ-революция к новому переделу мира или только к в…
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Они констатируют резко участившиеся целевые атаки на АСУ ТП, в которых разведка то и дело сочетается с деструктивными действиями. Злоумышленники демонстрируют профильные знания в предметной области, но их уровень подготовки крайне неоднороден (что намекает…
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Интересный документ Reinventing cyber budgeting, совместно изданный KPMG и TAG Infosphere, является скорее сборником статей, чем целостным руководством, но каждый материал в нём отвечает на следующий вопрос, возникающий с каждым шагом бюджетного процесса.
1️⃣ Как запланировать статьи в бюджете? Начните не с прошлогоднего бюджета, а с чистого листа. Каждая строка должна заново до…
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🆔 Фишкиты AitM, размещё…
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➡️ Даже если о…
По интернетам ходит шутка, что среди передовиков ИИ-производства только у Google ещё не сбежала модель, а значит она — самая тупенькая.
Нельзя исключать, конечно, Gemini 3.5 Pro что-то задерживается, но нам нравится другое объяснение. В отличие от молодых и бодрых ИИ-лаб, у Google, вероятно, всё в порядке и с мерами, и с процессами в ИБ.
@П2Т
😱 Беглые ИИ множатся каждый день
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😱6😁4
Showing the 12 most recent of 33 posts we hold for @kasperskyb2b. 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
@kasperskyb2b edited 2 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
8 August 2026
Most recent edit
12 August 2026
Citation-graph rank
Citation-graph rank — 99,637 of 1,549,376entries 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.
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 6 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.
Handles this channel named that no longer answer
Dead references
1
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
1
vacant every time we have ever looked
@kasperskyb2b named 1 handle 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.
@controlled named in 1 post, 8 August 2026 – 8 August 2026
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.
SecurityLab.ru @SecLabNews · 83,444 Telegram ranks this channel #35 of 90 here — alongside 89 others — read 18 August 2026
Этичный Хакер @hack_less · 227,939 Telegram ranks this channel #59 of 81 here — alongside 80 others — read 12 August 2026
This channel appears in 2 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 18 August 2026 — this
entry's latest reading, not the date you are reading this.
“Порвали два трояна” (@kasperskyb2b), 9,400 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/kasperskyb2b.
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.