Telegram RegisterThe public register of Telegram
Telegram profile photo for Mr. Robot

Channel

Mr. Robot

@elliot_cybersec

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

39,248subscribers

-84 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001832822469
TypeChannel
Username@elliot_cybersec
DescriptionАвторский канал про информационную безопасность, анонимность в сети, OSINT, социальную инженерию, пентест. Сотрудничество: @workhouse_price Канал на бирже: https://telega.in/c/elliot_cybersec Канал в реестре РКН: https://clck.ru/3Fgcip
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/elliot_cybersec

Growth

39,24839,33239,2906 August 2026 — 39,332 subscribers7 August 2026 — 39,326 subscribers8 August 2026 — 39,311 subscribers9 August 2026 — 39,296 subscribers10 August 2026 — 39,287 subscribers11 August 2026 — 39,283 subscribers12 August 2026 — 39,268 subscribers14 August 2026 — 39,255 subscribers15 August 2026 — 39,248 subscribers6 August 202615 August 2026
9 measurements spanning 8 days, net -84. 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 39,235–39,345 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 09:5539,248-7
14 Aug 2026, 00:3739,255-13
12 Aug 2026, 20:0739,268-15
11 Aug 2026, 22:1539,283-4
10 Aug 2026, 19:1439,287-9
9 Aug 2026, 17:2139,296-15
8 Aug 2026, 16:0639,311-15
7 Aug 2026, 18:4839,326-6
6 Aug 2026, 22:3339,332first reading

Engagement

33 posts held, back to 24 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 25 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.46%
avg views ÷ 39,248 subscribers
Avg views / post
3,320
33 posts measured
Reaction rate
0.401%
reactions ÷ views · ER floor
Posts in window
33
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 32 of 33 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 15 August 2026
Posts held33 (24 July 202615 August 2026)
Views total109,610
Reactions total431
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 03:20 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
1,760
Videos
45
Links
1,840

Lifetime counters from Telegram’s own channel header, read 16 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
4s
Average length
4s

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

431 reactions across 32 posts, in 6 distinct kinds. The most used accounts for 27.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🆒12027.8%
11426.5%
11226.0%
❤‍🔥6214.4%
163.71%
71.62%

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 431reactions 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 24 July 2026 to 15 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.

Advertising

Ad load
3.03%
1 of 33 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
2,240
over 1 measured post
Median views · rest
3,470
over 32 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VSb5x8uCVp112 August 202612 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 33 most recent posts we hold, published 24 July 2026 to 15 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

15 Aug 2026, 17:11 UTC≈1,010 views5 reactionsread 16 August 2026
Photo

🗡️ OSINT для ленивых. Часть 17: Швейцарский нож в OSINT | Привет, друг. На связи Эллиот. Продолжаем обсуждать инструментарий ленивого осинтера. Какие бы мы были осинтеры без инструментария, и какие бы мы были лентяи без инструмента, позволяющего в одном месте собрать кучу информации? — Оговорюсь сразу, абсолютных «швейцарских ножей» не бывает. Вот так вот, чтобы «нажал на кнопочку и все вылезло», так не бывает. Но

4❤‍🔥1

14 Aug 2026, 19:00 UTC≈1,960 views11 reactionsread 16 August 2026
Photo

📶 Инженеры научились отслеживать людей при помощи обычного WiFi | Привет, друг. На связи Эллиот. Сигналы WiFi потенциально можно использовать для идентификации людей и построения карты окружающей обстановки без использования камер и без того, чтобы человек, за которым следят, имел при себе подключённое к сети устройство. «Наблюдая за распространением радиоволн, мы можем создать изображение окружающей обстановки и н

8❤‍🔥2🆒1

14 Aug 2026, 11:20 UTC≈2,060 views13 reactionsread 16 August 2026
Photo

🌎 OSINT. Руководство по сбору и анализу открытой информации в интернете | Привет, друг. На связи Эллиот. Практическое руководство по проведению разведки по открытым источникам, сбору цифровых следов и анализу данных. Современное практическое пособие, предназначенное для исследователей безопасности, аналитиков CTI, экспертов по форензике, журналистов-расследователей, специалистов по корпоративной безопасности и Bug

🆒53221

13 Aug 2026, 15:18 UTC≈2,140 views9 reactionsread 16 August 2026
Photo

📂 Memory / Windows Internals | Привет, друг. На связи Эллиот. 1. Volatility 3⁠ — исследование оперативной памяти. 2. MemProcFS⁠ — представление физической памяти в виде виртуальной файловой системы. 3. LeechCore⁠ — низкоуровневый доступ и acquisition памяти. 4. WinPmem⁠ — получение дампов физической памяти Windows. 5. Rekall⁠ — memory forensics framework. 6. WinObjEx64⁠ — исследование внутренних объектов Windows. 7.

5❤‍🔥4

12 Aug 2026, 11:04 UTC≈2,380 views9 reactionsread 16 August 2026
Photo

🔎 OSINT для ленивых. Часть 16: Находим скрытую инфраструктуру компаний через Shodan | Привет, друг. На связи Эллиот. В отличие от обычных поисковиков вроде Google, которые индексируют страницы, Shodan индексирует устройства: серверы, камеры, базы данных, роутеры, панели администрирования, IoT-устройства. — Случается, что админы компаний забывают закрыть такие вещи и мы можем найти тут самое интересное. Разберемся с

5❤‍🔥2🆒2

12 Aug 2026, 09:04 UTC≈2,240 viewsread 16 August 2026
Advertisementerid 2VSb5x8uCVpPhoto

🛡 Самая «безопасная» для трудоустройства профессия 2026 года — специалист по информационной безопасности. Специалисты защищают системы и данные, а спрос на них продолжает расти. Сейчас на hh.ru открыто более 3 000 вакансий. На курсе Нетологии вы изучите основы кибербезопасности и требования ФСТЭК, научитесь администрировать системы защиты, предотвращать и расследовать инциденты. Освоите одну из специализаций — без

11 Aug 2026, 17:35 UTC≈2,410 views9 reactionsread 16 August 2026
Photo

🕸️ Межсетевой экран заблокировал атаку — а потом сам её и провёл. Разбираемся, что такое Ghostjacking | Привет, друг. На связи Эллиот. Обычная запись в журнале безопасности может превратить собственного ИИ-помощникакомпании в инструмент злоумышленника. Специалисты Tenet Threat Labs показали серию атак Ghostjacking, при которых ИИ сам меняет настройки инфраструктуры, запускает команды и передаёт секреты, хотя защитн

4🆒32

11 Aug 2026, 09:35 UTC≈2,430 views18 reactionsread 16 August 2026
Photo

🪰 Руководство OWASP, на Русском. Руководство по тестированию веб-приложений | Привет, друг. На связи Эллиот. Фундаментальное руководство и мировой открытый стандарт по методикам проведения аудита и тестирования безопасности веб-приложений. Исчерпывающий практический фреймворк и настольный справочник, предназначенный для пентестеров, AppSec-инженеров, Bug Bounty охотников, веб-разработчиков и QA-специалистов, которы

6❤‍🔥4332

10 Aug 2026, 09:02 UTC≈2,430 views10 reactionsread 16 August 2026
Photo

🔒 PE / Binary Research | Привет, друг. На связи Эллиот. 1. LIEF⁠ — анализ PE, ELF и Mach-O. 2. pefile⁠ — Python-библиотека для исследования PE. 3. PE-bear⁠ — глубокий визуальный анализ PE. 4. Detect It Easy⁠ — определение компилятора, packer и структуры PE. 5. PE-sieve⁠ — исследование подозрительных модификаций процессов и PE-модулей. 6. HollowsHunter⁠ — обнаружение подозрительных модификаций памяти процессов. 7. Sc

5🆒32

10 Aug 2026, 07:00 UTC≈2,490 views6 reactionsread 16 August 2026
Video

👩‍💻 Всем программистам посвящается! Вот 14 авторских обучающих IT каналов по самым востребованным областям программирования: Выбирай своё направление: 👩‍💻 Python — t.me/python_ready 🤔 InfoSec & Хакинг — t.me/hacking_ready 🖥 SQL & Базы Данных — t.me/sql_ready 👩‍💻 IT Новости — t.me/it_ready 🤖 AI & ML — t.me/neuro_ready 👩‍💻 Frontend — t.me/frontend_ready 👩‍💻 C/C++ — https://t.me/cpp_ready 👩‍💻 C# & Unity — t.

51

9 Aug 2026, 15:35 UTC≈2,930 views12 reactionsread 16 August 2026
Photo

🎃 Что видит DPI, и что мы попробовали у него отобрать | Привет, друг. На связи Эллиот. Для человека всё это выглядит как куча зашифрованных байтов. Для классификатора — как вполне пригодный набор признаков. Поэтому значительная часть нашей работы в итоге свелась не к тому, чтобы «зашифровать ещё сильнее», а к более практическому вопросу: что именно видит наблюдатель снаружи и по каким признакам он может решить, что

6❤‍🔥3🆒3

8 Aug 2026, 18:10 UTC≈3,320 views22 reactionsread 16 August 2026
Photo

🥸 Включил VPN и расслабился? Почему подмена IP больше не работает и как легко деанонимизировать любого за один клик | Привет, друг. На связи Эллиот. VPN может успешно заменить IP-адрес и показать сайту, что пользователь находится в другой стране, но одной смены IP недостаточно, чтобы действительно скрыть местоположение. Современные сайты и приложения собирают сразу несколько географических признаков, поэтому россий

14❤‍🔥4🆒4

Showing the 12 most recent of 33 posts we hold for @elliot_cybersec. 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

@elliot_cybersec 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
8 August 2026
Most recent edit
8 August 2026

Citation-graph rank

Citation-graph rank — 695,675 of 1,481,217entries 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

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 3 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.

Этичный Хакер
@hack_less · 227,815
Telegram ranks this channel #3 of 81 here — alongside 80 others — read 12 August 2026
Social Engineering
@Social_engineering · 125,171
Telegram ranks this channel #10 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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“Mr. Robot” (@elliot_cybersec), 39,248 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/elliot_cybersec.

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.