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Channel

Inf0 | ИБ, OSINT

@info_cybersecurity

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

9,775subscribers

+109 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001931333867
TypeChannel
Username@info_cybersecurity
DescriptionКанал направленный на исследование в сфере ИБ, OSINT. Сотрудничество: @glebsto Медиа: @agencytender Мы на бирже: https://telega.in/c/info_cybersecurity Архив: https://t.me/tochkaseti
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/info_cybersecurity

Growth

9,6669,7759,720.57 August 2026 — 9,666 subscribers7 August 2026 — 9,668 subscribers10 August 2026 — 9,669 subscribers13 August 2026 — 9,751 subscribers16 August 2026 — 9,775 subscribers7 August 202616 August 2026
5 measurements spanning 9 days, net +109. 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 9,650–9,791 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 19:239,775+24
13 Aug 2026, 05:469,751+82
10 Aug 2026, 04:289,669+1
7 Aug 2026, 14:339,668+2
7 Aug 2026, 10:459,666first reading

Engagement

32 posts held, back to 20 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 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.3%
avg views ÷ 9,775 subscribers
Avg views / post
1,300
32 posts measured
Reaction rate
0.739%
reactions ÷ views · ER floor
Posts in window
32
of 32 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 17 August 2026
Posts held32 (20 July 202617 August 2026)
Views total41,524
Reactions total307
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 15:30 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
776
Videos
54
Links
908

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. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
10s
Average length
10s

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

307 reactions across 32 posts, in 10 distinct kinds. The most used accounts for 27.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8527.7%
7725.1%
🔥5116.6%
👏309.77%
💯175.54%
🤯165.21%
😁113.58%
🤔92.93%
🥰72.28%
41.30%

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 32 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 307reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 20 July 2026 to 17 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

17 Aug 2026, 16:45 UTC511 views4 reactionsread 18 August 2026
Photo

📂 Linkerd на практике. Работа с приложениями в Kubernetes — Данное руководство предназначено упростить создание, запуск и отладку микросервисных приложений вне зависимости от уровня их квалификации Книга рассказывает о возможностях популярной сервисной сетки Linkerd, позволяющей эффективно и с высокой скоростью окупаемости решать проблемы запуска распределенных приложений в Kubernetes Вы узнаете, как она способст

🔥21🤯1

17 Aug 2026, 13:45 UTC561 views8 reactionsread 18 August 2026
Photo

Тебя останавливает ИМЕННО ЭТО! Сделать первый шаг — самое сложное в любом начинании. Но вокруг нейросетей придумали столько мифов, что у большинства сразу опускаются руки: • «нет зарубежной для подписки подписку», • «надо брать курс за 100к», • «агенты сожрут весь бюджет на API». ХВАТИТ ОТКЛАДЫВАТЬ ВСЕ НА ПОТОМ! Реальность давно изменилась: Китайские DeepSeek, Kimi и Qwen доказали, что бесплатные модели ничуть не

4🔥2🥰2

16 Aug 2026, 16:34 UTC765 views9 reactionsread 18 August 2026
Photo

👀 Список API для сбора информации о телефонных номерах, адресах, доменах APIs for OSINT — это репозиторий интерфейсов программирования приложений (API), специально созданных для работы с Open Source Intelligence (OSINT) — В нём собрана информация о различных API, которые можно использовать для автоматизации задач сбора информации в разных областях ⛓ https://github.com/cipher387/API-s-for-OSINT #API #OSINT #Tools

3🔥3👍2🤔1

15 Aug 2026, 16:48 UTC904 views7 reactionsread 18 August 2026
Photo

😈 8 агентов, 12 волн, 4 дня: как ИИ в одиночку взломал правительство Тайваня — В статье рассматривается первый зафиксированный случай масштабной кибератаки на государственную инфраструктуру, которую практически полностью осуществила автономная система ИИ-агентов Начиналось все с одного правительственного портала — агенты скачали и разобрали его скрипты, вытащив зашитые адреса, точки API (эндпоинты) и конфигурацию

🤯32💯2

14 Aug 2026, 19:39 UTC919 views10 reactionsread 18 August 2026
Photo

🤓 Официальное руководство по Git Git tutorial — это руководство по работе с системой контроля версий Git, которое может включать темы по основам, ветвлению, совместной работе и продвинутым техникам — Такие туториалы могут быть в виде видео, статей или руководств, которые объясняют, как использовать Git для управления проектами, работы с ветками и взаимодействия с другими участниками ⛓ https://git-scm.com/docs/git

👍53👏2

13 Aug 2026, 10:14 UTC≈1,120 views9 reactionsread 18 August 2026
Photo

📝 Подборка шпаргалок и ресурсов по инфобезу — Эти шпаргалки помогут вам быстро находить нужную информацию и команды для работы с различными инструментами информационной безопасности 1. Awesome Hacking Resources: список полезных ресурсов, инструментов и материалов для хакеров и специалистов по безопасности; 2. OWASP Cheat Sheet Series: серия шпаргалок от OWASP, охватывающая лучшие практики безопасности веб-прил

3👍2🔥2🤯2

12 Aug 2026, 18:22 UTC964 views9 reactionsread 18 August 2026
Photo

🤖 OpenAI представила модель GPT-5.6-Cyber, ориентированную на кибербезопасность — В OpenAI представили специализированную модель GPT-5.6-Cyber, предназначенную для поиска уязвимостей, проведения пентестов и реагирования на инциденты В отличие от обычной GPT-5.6 Sol, новая модель реже отказывается выполнять потенциально опасные dual-use-задачи, включая разработку эксплоитов и построение цепочек атак Её обучили иск

3👏3🔥2👍1

11 Aug 2026, 18:41 UTC≈1,120 views12 reactionsread 18 August 2026
Photo

❗️ OSINT: инструмет для сбора данных о человеке User Finder — специализированный инструмент, который помогает искать профили пользователей на разных онлайн-платформах: в соцсетях, на форумах, в мессенджерах и других сервисах В зависимости от реализации, User Finder может: 🔵проверять, существует ли профиль на той или иной платформе; 🔵искать вариации ника (например, с добавлением цифр или слов); 🔵иногда интегриров

👍5👏2🤯21💯1🔥1

10 Aug 2026, 16:46 UTC≈1,150 views9 reactionsread 18 August 2026
Photo

📂 Тестирование программного обеспечения: контекстно ориентированный подход — Авторы собрали 293 проверенных совета, которые вы можете использовать в своих проектах Каждый урок начинается с утверждения, относящегося к тестированию программного обеспечения, за которым следует объяснение или пример, показывающий, как, когда и почему применяется этот урок Кейнер Кем, Бах Джеймс, Петтикорд Брет 2025 ⛓ https://t.me/to

🔥4👍21👏1🤔1

9 Aug 2026, 19:12 UTC≈1,330 views12 reactionsread 18 August 2026
Photo

❗️ Как узнать местоположение человека с помощью Seeker — В статье автор познакомит вас с инструментом Seeker, с помощью которого, можно получить информацию о пользователе, в том числе точное местоположение А также покажет, как установить, настроить и использовать Seeker в Kali Linux, Widows (с помощью подсистемы WSL) и на Android (с помощью Termux) ⛓ https://spy-soft.net/track-location-with-seeker/ #IP #Tools #S

👍4👏3🔥32

8 Aug 2026, 19:19 UTC≈1,330 views12 reactionsread 18 August 2026
Photo

📄 Большая шпаргалка по пентесту Содержание шпаргалки: 🔵Перечисление 🔵Shells & Reverse Shells 🔵Meterpreter 🔵Powershell Privilege Escalation 🔵Command Injection 🔵SQLInjections 🔵Resources & Links ⛓ https://hausec.com/pentesting-cheatsheet/ #CheatSheet #Shell #RE #Injection #SQL ✈️ inf0

👍5🔥4🥰3

7 Aug 2026, 16:18 UTC≈1,290 views6 reactionsread 18 August 2026
Photo

🪱 Червь ChainDrop заразил более 1300 пакетов npm — Самораспространяющийся вредонос ChainDrop скомпрометировал более 1300 пакетов в реестре npm, на которые суммарно приходится около 2 млрд установок в месяц Заражение затронуло такие популярные библиотеки, как Keyv, Cacheable, flat-cache и file-entry-cache Злоумышленники добавляли вредоносные файлы прямо в основные ветки проектов, после чего создавали новые релизы

2🔥2👍1🤔1

Showing the 12 most recent of 32 posts we hold for @info_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.

Citation-graph rank

Citation-graph rank — 941,808 of 1,550,164entries 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.

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.

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.

Этичный Хакер
@hack_less · 227,939
Telegram ranks this channel #39 of 81 here — alongside 80 others — read 12 August 2026
Social Engineering
@Social_engineering · 125,151
Telegram ranks this channel #41 of 82 here — alongside 81 others — read 13 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Inf0 | ИБ, OSINT” (@info_cybersecurity), 9,775 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/info_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.