Telegram RegisterThe public register of Telegram
Telegram profile photo for Порвали два трояна

Channel

Порвали два трояна

@kasperskyb2b

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

9,406subscribers

+5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001336699696
TypeChannel
Username@kasperskyb2b
Created22 June 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live15 September 2026
Measurements held13
Confirmed unchanged2 times, most recently 15 September 2026
On Telegramt.me/kasperskyb2b

Topic

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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

9,4009,4079,403.56 August 2026 — 9,401 subscribers6 August 2026 — 9,401 subscribers6 August 2026 — 9,402 subscribers9 August 2026 — 9,406 subscribers11 August 2026 — 9,405 subscribers14 August 2026 — 9,406 subscribers18 August 2026 — 9,400 subscribers21 August 2026 — 9,404 subscribers24 August 2026 — 9,402 subscribers27 August 2026 — 9,407 subscribers30 August 2026 — 9,404 subscribers2 September 2026 — 9,405 subscribers12 September 2026 — 9,406 subscribers9,4066 August 202612 September 2026
13 measurements spanning 37 days, net +5. 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 9,399–9,408 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Sept 2026, 01:209,406+1
2 Sept 2026, 07:189,405+1
30 Aug 2026, 06:089,404-3
27 Aug 2026, 10:269,407+5
24 Aug 2026, 13:439,402-2
21 Aug 2026, 00:359,404+4
18 Aug 2026, 03:329,400-6
14 Aug 2026, 22:039,406+1
11 Aug 2026, 17:319,405-1
9 Aug 2026, 01:319,406+4
6 Aug 2026, 07:409,402+1
6 Aug 2026, 02:509,401no change
6 Aug 2026, 02:029,401first reading

Engagement

41 posts held, back to 14 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 32 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.72%
avg views ÷ 9,406 subscribers
Avg views / post
915
6 posts measured
Reaction rate
1.06%
reactions ÷ views · ER floor
Posts in window
6
of 41 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 28 August 2026
Posts held41 (14 July 202628 August 2026)
Views total5,488
Reactions total58
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 06:41 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
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

409 reactions across 36 posts, in 15 distinct kinds. The most used accounts for 27.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥11327.6%
👍10726.2%
👏6415.6%
🤯379.05%
😁307.33%
😱225.38%
133.18%
🤔71.71%
👎40.978%
💯30.733%
😍30.733%
🤣30.733%
🌚10.244%
💩10.244%
🤩10.244%

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 40 of the 41 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 454 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 41 most recent posts we hold, published 14 July 2026 to 28 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.

Recent posts

28 Aug 2026, 08:02 UTC583 views9 reactionsread 29 August 2026

⚡️ Деструктивные атаки а АСУ ТП, как работают мелкие вымогатели, советы для SOC и другие полезные посты августа В августовском потоке новостей могли затеряться полезные и не сиюминутные материалы нашего канала. Поэтому мы подобрали статьи, которые помогут выстроить эффективные процессы и системы в ИБ. Если вы что-то пропустили, самое время наверстать упущенное! 🔵 обзор свежих исследований по киберугрозам в промышле

👍3🔥3👏21

27 Aug 2026, 07:59 UTC837 views8 reactionsread 29 August 2026

📌 Как создавать плейбуки для SOC Реагирование на инциденты опирается на стандартные сценарии, принятые в SOC. Однако многие из них хорошо выглядят только в теории, а в жизни их применение затруднено, если вообще возможно. Эффективная отправная точка — стандартизировать реагирование на те атаки, с которыми вы сталкиваетесь ежедневно. Между сценарием реагирования и планом реагирования существует чёткое различие. План

👍4🔥3🤯1

26 Aug 2026, 08:30 UTC921 views11 reactionsread 29 August 2026
Photo

📊Тенденции SOC по версии Gartner Пропустили обновление гартнеровского Hype Cycle for Security Operations, прошедшего в начале лета. Как обычно, авторы попытались сличить маркетинг производителей ожидания и реальность, и пришли к выводу, что вода мокрая сразу несколько ключевых компонентов всех ИБ-программ меняют своё место в архитектуре SOC. В первую очередь это SIEM, XDR, управление уязвимостями и киберразведка. Д

👍6👏3🔥2

25 Aug 2026, 08:00 UTC983 views11 reactionsread 29 August 2026
Photo

Обновился OWASP GenAI LLM Top 10 Один из популярнейших в последние годы топов OWASP вышел в версии 2026. Принципиально новых угроз в нём нет, зато сильно сменились приоритеты, исходя из проблем нейросетей, которые наблюдаются на практике. Значительно возросла роль избыточной свободы действий (excessive agency) и бесконтрольного потребления токенов (unbounded consumption), а вот неверная обработка данных на выходе н

👏4👍3🔥21🤯1

24 Aug 2026, 08:43 UTC934 views8 reactionsread 29 August 2026

Интересные исследования APT и новости ИБ за неделю 🪲Разбор новых инструментов группы Armored Likho, в первую очередь трёх версий троянца BusySnake RAT, а также троянца open source, Kharon, интегрированного с AdaptixC2. При этом C2 переехали с Telegram Bot API на переменные окружения в CI/CD-пайплайнах GitLab, а сами вредоносные нагрузки — в приватные репозитории. Артефакты в коде загрузчика указывают на использовани

🔥4👍2👏1🤯1

21 Aug 2026, 07:59 UTC≈1,230 views11 reactionsread 29 August 2026

🔥 ИИ-ассистенты взламывают фитнес, в macOS можно зайти без пароля, а на форумах Steam распространяют зловреды по-новому. Самые интересные новости личной ИБ и конфиденциальности 1️⃣OpenAI запустила на Маках новую функцию под названием Computer History. Это примерно как Microsoft Recall, только хуже — распознавание действий пользователя на компьютере частично ведётся где-то в облаке, а результаты хранятся на компьютер

👍4🔥4🤔2👎1

20 Aug 2026, 08:35 UTC≈1,450 views14 reactionsread 29 August 2026

😞 ИИ плохо чинит уязвимости Хотя ИИ значительно ускорил поиск новых уязвимостей, с применением LLM для их устранения не всё так однозначно. Исследователи скормили двум передовым моделям шесть свежих и сложных уязвимостей, названия и CVE которых вы почти наверняка знаете: CVE-2026-31431 (CopyFail), CVE-2026-34197 (RCE в ActiveMQ), CVE-2026-45185 (DeadLetter, RCE в EXIM) и др. Затем для них попытались генерировать п

🔥8👍2👏2🤯1😁1

19 Aug 2026, 07:59 UTC≈1,350 views9 reactionsread 29 August 2026

👀 Зачем нужен ретроспективный поиск угроз Если в организации используются исключительно автоматические системы детектирования киберугроз, почти наверняка самые сложные атаки на её сеть останутся незамеченными. Продвинутые злоумышленники изучают инфраструктуру конкретной жертвы и выстраивают свои кампании так, чтобы целенаправленно обходить установленные СЗИ. Чтобы выявлять такие целевые вторжения, ИБ-командам нужн

🔥4👍2👏21

18 Aug 2026, 08:31 UTC≈1,360 views15 reactionsread 29 August 2026
Photo

📌 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

👏6👍4🔥41

17 Aug 2026, 11:59 UTC≈1,150 views10 reactionsread 29 August 2026

🎯 Интересные исследования APT и новости ИБ за неделю 🔵Анализ обновлённого бэкдора CoolClient, применяемого APT HoneyMyte/Mustang Panda. Теперь в нём используется руткит уровня ядра. Среди жертв — госструктуры в РФ, Пакистане, Монголии и Мьянме. Атакующие сначала применяют ВПО PlugX, затем переходят к установке CoolClient, который загружается по технике DLL sideloading в связке с легитимным исполняемым файлом Sangfor

👍4🔥3👏21

14 Aug 2026, 13:32 UTC≈1,290 views24 reactionsread 29 August 2026
Forwarded from @kasperskylab_ruVideo

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

😁9🔥7👎3👍2😍2💩1

14 Aug 2026, 08:02 UTC≈1,330 views9 reactionsread 29 August 2026
Forwarded from @kasperskylab_ruPhoto

🔒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

👏6🔥2🤔1

Showing the 12 most recent of 41 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

Forward network

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 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.

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.

Kaspersky
@kasperskylab_ru · 28,865
Telegram ranks this channel #3 of 96 here — alongside 95 others — read 9 September 2026
SecAtor
@true_secator · 41,700
Telegram ranks this channel #26 of 78 here — alongside 77 others — read 29 August 2026
Positive Technologies
@Positive_Technologies · 28,968
Telegram ranks this channel #27 of 87 here — alongside 86 others — read 9 September 2026
Хакер — Xakep.RU
@xakep_ru · 39,506
Telegram ranks this channel #27 of 83 here — alongside 82 others — read 30 August 2026
Пост Лукацкого
@alukatsky · 37,862
Telegram ranks this channel #32 of 89 here — alongside 88 others — read 31 August 2026
Отдел К: IT-технологии, кибербезопасность
@cyber_cabb · 81,445
Telegram ranks this channel #35 of 94 here — alongside 93 others — read 18 August 2026
SecurityLab.ru
@SecLabNews · 84,261
Telegram ranks this channel #35 of 90 here — alongside 89 others — read 18 August 2026
Russian OSINT
@Russian_OSINT · 47,701
Telegram ranks this channel #37 of 82 here — alongside 81 others — read 26 August 2026
Пакет Безопасности
@package_security · 33,106
Telegram ranks this channel #49 of 82 here — alongside 81 others — read 4 September 2026
Positive Hack Days Media
@positivehackmedia · 30,694
Telegram ranks this channel #57 of 88 here — alongside 87 others — read 6 September 2026
Этичный Хакер
@hack_less · 229,400
Telegram ranks this channel #59 of 81 here — alongside 80 others — read 12 August 2026

This channel appears in 11 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 12 September 2026 — this entry's latest reading, not the date you are reading this.

“Порвали два трояна” (@kasperskyb2b), 9,406 subscribers as measured 12 September 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.