Telegram RegisterThe public register of Telegram

Channel

INSECA

@inseca

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

333subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003482675289
TypeChannel
Username@inseca
Descriptioninseca.tech - практические курсы по информационной безопасности. Для связи: @insecatech Записаться на курс: @insecasales Сайт: https://inseca.tech
CreatedBetween 1 November 2025 and 30 April 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 August 2026
Measurements held2
On Telegramt.me/inseca

Growth

3336 Aug 2026, 19:30 — 333 subscribers6 Aug 2026, 21:46 — 333 subscribers6 Aug 2026, 19:306 Aug 2026, 21:46
2 measurements taken within a single day. 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 332–334 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 21:46333no change
6 Aug 2026, 19:30333first reading

Engagement

20 posts held, back to 4 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
89.5%
avg views ÷ 333 subscribers
Avg views / post
298
5 posts measured
Reaction rate
3.96%
reactions ÷ views · ER floor
Posts in window
5
of 20 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 5 August 2026
Posts held20 (4 May 20265 August 2026)
Views total1,490
Reactions total59
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 21:46 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
58
Links
39

Lifetime counters from Telegram’s own channel header, read 6 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.

Reaction mix

308 reactions across 19 posts, in 7 distinct kinds. The most used accounts for 52.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥16152.3%
8627.9%
🎉4414.3%
👍92.92%
😁51.62%
🤩20.649%
👎10.325%

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 19 of the 20 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 308reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 4 May 2026 to 5 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

5 Aug 2026, 13:02 UTC140 views7 reactionsread 6 August 2026
Photo

Новый учебный год уже близко, актуальное расписание на сентябрь: 4 сентября — Threat Hunting Научитесь выявлять аномалии в инфраструктуре с помощью работы с гипотезами. 4 сентября — DevSecOps Deep Dive Пройдете полный путь от внедрения инструментов безопасности до построения полноценных процессов. 11 сентября — Аналитик SOC Сможете выявлять киберугрозы и оперативно реагировать на инциденты информационной безопасно

4🔥3

29 Jul 2026, 13:03 UTC278 views25 reactionsread 6 August 2026
Photo

Лада Антипова — руководитель отдела реагирования на инциденты и цифровой криминалистики (Incident Response Team Lead), Angara Security Лада более 8 лет работает в сфере практической ИБ. Начинала с инженера по ИБ и аналитика in-house SOC, а потом решила сменить направление и уже сейчас руководит командой из двух направлений: респондеров и реверсеров. Каждому новому потоку студентов при знакомстве я рассказываю интер

16🔥7👍2

20 Jul 2026, 11:25 UTC356 views10 reactionsread 6 August 2026
Forwarded from @katya_turing

Как пройти у меня обучение? Друзья, во-первых, спасибо, что обращаетесь с такими запросами, это дает мне осознание, что я являюсь крутым специалистом в OSINT 🙏 А во-вторых, хочу ответить публично, когда и как ко мне стоит обращаться. В последнее время я часто отказываю в обучении потому, что: - Люди не хотят раскрывать себя, - Они хотят учиться деанону, поиску по фото и сталкингу. Я не оказываю таких услуг. OSINT —

🔥8👍2

20 Jul 2026, 11:24 UTC311 views4 reactionsread 6 August 2026

Если вы давно хотели разобраться, как устроено профессиональное обучение OSINT, обратите внимание на пост Екатерины Тьюринг. Особенно полезно тем, кто рассматривает корпоративное обучение или хочет получить качественную базу.👇🏼

4

15 Jul 2026, 13:05 UTC405 views13 reactionsread 6 August 2026
Photo

Семен Рогачёв — руководитель отдела реагирования на инциденты в компании Бастион. Семен больше 8 лет работает в области информационной безопасности. Начал карьеру в роли младшего вирусного аналитика, дошёл до роли ведущего и в какой-то момент параллельно начал заниматься расследованием и реагированием на инциденты. Сейчас руководит отделом реагирования на инциденты в компании Бастион. Имеет опыт преподавания в разн

13

9 Jul 2026, 12:59 UTC387 views14 reactionsread 6 August 2026
Photo

Одна из главных проблем подготовки специалистов по информационной безопасности сегодня — разрыв между тем, что студенты изучают в университете, и тем, что им предстоит делать на первом рабочем месте. Выпускникам вузов часто не хватает практического опыта, а работодателям приходится тратить месяцы на их адаптацию, прежде чем молодые специалисты смогут самостоятельно решать реальные задачи. 👉🏼 Прочитать статью 📎 Под

🔥93🤩2

6 Jul 2026, 08:37 UTC396 views8 reactionsread 6 August 2026
Forwarded from @CYBERCAMP_ONLINEPhoto

😎😎😎😎😎😎😎😎😎😎😎😎😎😎😎 Открыли запись на консультации спикеров кэмпа! Ваш вопрос не помещается в сессию Q&A после доклада? Самый сложный кейс нужно обсудить не на публику? Или просто хочется лично пообщаться с топовым экспертом в вашем направлении ИБ? На «Лете в КиберКэмпе» это возможно! 17 июля с 16:00 до 18:00 наши спикеры проведут персональные консультации в формате тет-а-тет. Ранняя запись уже открыта ➡️ здесь. На са

🔥8

6 Jul 2026, 08:37 UTC334 viewsread 6 August 2026

Еще одна крутая активность от наших друзей из CyberCamp! Спешите записаться👇

3 Jul 2026, 09:05 UTC364 views12 reactionsread 6 August 2026
Forwarded from @CYBERCAMP_ONLINEPhoto

Поймали фишинговое письмо, заблокировали на шлюзе и со спокойной совестью закрыли тикет? Поздравляем, вы только что выбросили в корзину ценнейшие разведданные 🗑 На летнем CyberCamp превращать рутинные алерты в мощное оружие защиты будет Виталий Евсиков, сооснователь и технический директор компании «Inseca». Виталий в кибербезе больше 10 лет — он с нуля выстраивал процессы Threat Intelligence для отечественного бизне

🔥12

3 Jul 2026, 09:05 UTC262 views5 reactionsread 6 August 2026

17 июля выступаем на летнем CyberCamp с практическим воркшопом «Как выжать Threat Intelligence из одного письма». Делимся анонсом мероприятия 👇

🔥5

1 Jul 2026, 13:03 UTC315 views15 reactionsread 6 August 2026
Photo

Что пишут студенты в анкетах перед началом курса Продолжаем собирать мнение студентов на вопрос: «Я буду доволен курсом, если после него смогу…» Обычно отвечают про новые навыки, карьерный рост и практику. Но иногда попадаются ответы, которые хочется сохранить: Прокачаться на все 100 :) Быть счастливым) Преисполниться и получить сертификат "Быть как рыба в воде" в Dfir Перейти на позицию выше ... знать больше и ст

6😁5👍3🔥1

24 Jun 2026, 13:03 UTC385 views13 reactionsread 6 August 2026
Photo

Партнёром курса Security Awareness стала компания Start X — разработчик решений для повышения осведомлённости и культуры кибербезопасности. Студенты смогут познакомиться с реальными практиками Security Awareness, которые применяются в компаниях сегодня. В этом направлении особенно важна практика. Одно дело — изучать метрики и культуру безопасности, и совсем другое — видеть, как это работает в реальных проектах. Ко

🔥13

Showing the 12 most recent of 20 posts we hold for @inseca. 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.

Citation-graph rank

Citation-graph rank — 474,181 of 1,169,250entries 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 1 registered channel — 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.

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

“INSECA” (@inseca), 333 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/inseca.

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.