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Channel

Life-Hack - Хакер

@haccking

On this record: Topic · Previous handles · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry

63,216subscribers

-67 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001071752104
TypeChannel
Username@haccking
DescriptionСообщество по информационной безопасности (кибербезопасности). Статьи, гайды, обучения, рекомендации, обзоры, новости, подборки полезного софта! #linux #pentest #hack @LifeHackmedia РКН: https://clck.ru/3GLmbM Связь - @adm1nLH
Created3 March 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 6 September 2026
On Telegramt.me/haccking

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 94% 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.

Previous handles

Recorded in 2019 as “Life-Hack [Жизнь-Взлом]/Хакинг — the title held for this same channel (matched by Telegram id, not by handle) in the Pushshift Telegram Dataset, a third-party archive captured in 2019-2020, years before this register made its own first observation. CC BY 4.0, Baumgartner, Zannettou, Squire & Blackburn (2020), Zenodo. A third party’s dated snapshot, not a measurement this register made itself.

Growth

63,20163,28363,2425 August 2026 — 63,283 subscribers6 August 2026 — 63,283 subscribers7 August 2026 — 63,265 subscribers8 August 2026 — 63,258 subscribers9 August 2026 — 63,257 subscribers10 August 2026 — 63,245 subscribers11 August 2026 — 63,249 subscribers12 August 2026 — 63,241 subscribers13 August 2026 — 63,244 subscribers14 August 2026 — 63,234 subscribers16 August 2026 — 63,223 subscribers17 August 2026 — 63,211 subscribers18 August 2026 — 63,208 subscribers19 August 2026 — 63,206 subscribers20 August 2026 — 63,202 subscribers21 August 2026 — 63,208 subscribers25 August 2026 — 63,218 subscribers26 August 2026 — 63,209 subscribers27 August 2026 — 63,215 subscribers28 August 2026 — 63,219 subscribers29 August 2026 — 63,217 subscribers30 August 2026 — 63,214 subscribers31 August 2026 — 63,201 subscribers1 September 2026 — 63,203 subscribers2 September 2026 — 63,207 subscribers3 September 2026 — 63,213 subscribers6 September 2026 — 63,216 subscribers63,2165 August 20266 September 2026
27 measurements spanning 31 days, net -67. 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 63,189–63,295 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
6 Sept 2026, 09:5563,216+3
3 Sept 2026, 23:5863,213+6
2 Sept 2026, 15:5863,207+4
1 Sept 2026, 14:5563,203+2
31 Aug 2026, 11:2863,201-13
30 Aug 2026, 09:4363,214-3
29 Aug 2026, 06:4663,217-2
28 Aug 2026, 03:4763,219+4
27 Aug 2026, 00:5863,215+6
26 Aug 2026, 00:1463,209-9
25 Aug 2026, 01:1563,218+10
21 Aug 2026, 22:1763,208+6
20 Aug 2026, 14:4563,202-4
19 Aug 2026, 15:4963,206-2
18 Aug 2026, 14:0463,208-3
17 Aug 2026, 12:1463,211-12
16 Aug 2026, 03:2563,223-11
14 Aug 2026, 14:0463,234-10
13 Aug 2026, 07:5863,244+3
12 Aug 2026, 06:1263,241first reading

Engagement

99 posts held, back to 28 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 73 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.17%
avg views ÷ 63,216 subscribers
Avg views / post
4,530
69 posts measured
Reaction rate
0.333%
reactions ÷ views · ER floor
Posts in window
69
of 99 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 8 September 2026
Posts held99 (28 July 20268 September 2026)
Views total312,630
Reactions total1,042
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Sept 2026, 20:36 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
2,490
Videos
92
Links
9,090

Lifetime counters from Telegram’s own channel header, read 8 September 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.

Reaction mix

1,502 reactions across 95 posts, in 13 distinct kinds. The most used accounts for 35.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍53035.3%
🔥44729.8%
44129.4%
🤣382.53%
😁271.80%
🤔40.266%
👌30.2%
👏30.2%
🏆20.133%
👾20.133%
🤝20.133%
🫡20.133%
🤗10.067%

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 99 of the 99 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 1,554 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 99 most recent posts we hold, published 28 July 2026 to 8 September 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
1
of 99 we hold a reading for · 1%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @haccking. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 99 most recent posts we hold for this entry, published 28 July 2026 to 8 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Advertising

Ad load
2.02%
2 of 99 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
4,110
over 2 measured posts
Median views · rest
4,320
over 97 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.

Measured over the 99 most recent posts we hold, published 28 July 2026 to 8 September 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

8 Sept 2026, 14:03 UTC≈1,390 views4 reactionsread 8 September 2026
Photo

Анализ зависимостей в безопасности приложений: SCA-инструменты, Dependency-Track, Snyk и SBOM на практике #статья #полезное По данным Anchore, число атак на цепочки поставок ПО выросло на 540% за 2019-2022 и удвоилось ещё раз к 2024-му. При этом, согласно Cycode, от 70 до 90% кодовой базы типичного приложения - это open source и сторонние библиотеки. Анализ зависимостей в безопасности приложений при таких вводных -

2👍1🔥1

8 Sept 2026, 12:02 UTC≈1,600 views5 reactionsread 8 September 2026

Найти человека по одной фотографии — это не магия и не пробив по базам. Это методика. Открытые источники, правильная последовательность запросов и умение связать разрозненные крупицы в картину. Тому, кто её знает, хватает одной зацепки, чтобы размотать остальное. Год назад мы проводили закрытый мини-курс по OSINT. Мест было ограниченное количество, попали не все. Материалы остались — и я открыл к ним доступ. Что в

🔥21👍1🤣1

8 Sept 2026, 08:02 UTC≈2,320 views12 reactionsread 8 September 2026
Photo

GameShell #linux #обучение Консольная игра для изучения команд Linux. Будет полезна только начинающим (создана для студентов). В игре можно найти кучу разных заданий, в которых нужно использовать всевозможные консольные утилиты. А еще есть уровни сложности: сперва вы будете изучать все возможные команды, начиная с cd, rm, mkdir и т.д., потом разберете права доступа, поиск и многое другое. Играть можно в любом терми

6👍3🔥3

7 Sept 2026, 17:01 UTC≈2,730 views21 reactionsread 8 September 2026
Forwarded from @hacckingbookPhoto

Курс «Информационная безопасность» #курс #ИБ 17 видеоуроков с заданиями от Лекториума и президентского ФМЛ №239. Начинают с устройства сетей, ОС и баз данных, дальше — виртуализация и облака, ландшафт кибератак, криптография, безопасная разработка и управление доступом. Дедлайнов нет, материалы открыты сразу, в конце сертификат. Пройти курс LH | IT Курсы | OSINT

🔥97👍5

7 Sept 2026, 13:04 UTC≈3,240 views22 reactionsread 8 September 2026
Photo

Как рой ИИ-агентов Cursor создал SQLite с нуля за $1339 #статья #ai Cursor опубликовала результаты эксперимента со вторым поколением своего "роя агентов" — системы, в которой сотни ИИ-агентов параллельно работают над одной кодовой базой. Задача — реализовать на Rust движок базы данных по 835-страничной документации SQLite. Без исходников, без готовых тестов, без бинарника оригинала и без доступа в интернет. Самая д

👍10🔥75

7 Sept 2026, 08:01 UTC≈3,200 views16 reactionsread 8 September 2026
Photo

Sophia-Script-for-Windows #полезное #Windows PowerShell-модуль, который содержит более 150 уникальных функций для тонкой настройки Windows с использованием официально задокументированных методов Microsoft без вреда системе. Каждая настройка имеет соответствующую функцию для восстановления значений по умолчанию. Проект с полностью открытым исходным кодом. Ссылка на GitHub LH | News | OSINT | AI

👍10🔥4👏2

6 Sept 2026, 16:01 UTC≈6,050 views11 reactionsread 8 September 2026

⚡️ Топ популярных/полезных постов за прошедшую неделю (сохрани себе чтобы не потерять): 1. Предыдущий топ статей 2. Полноценная Linux-песочница в браузере на базе x86-ядра, Alpine и эмулятора v86 через WebAssembly 3. ⚡️ Пентест на заказ (Сделаем качественно и не дорого) 4. Анализатор безопасности конфигураций MikroTik RouterOS 5. Набор SKILL файлов, для OSINT с помощью Claude 6. Взлом IoT: Тестирование устройств с п

7👍2🔥2

6 Sept 2026, 12:04 UTC≈3,420 views13 reactionsread 8 September 2026
Photo

Цифровая криминалистика: Анализ разбившихся дронов #статья #drone #forensic Разбившийся дрон может рассказать целую историю. Сегодня рассмотрим, как файлы ArduPilot раскрывают намерения оператора, реальное поведение в полёте, высоту в контрольных точках, тайминг и многое другое. Ссылка на статью LH | News | OSINT | AI

🔥83👍2

6 Sept 2026, 08:05 UTC≈3,410 views13 reactionsread 8 September 2026
Photo

Awesome-OSINT-List #OSINT Огромная коллекция OSINT-инструментов для экспертов по кибербезопасности, исследователей и участников bug bounty. Основные направления: сбор данных, обратный поиск, Red Teaming, искусственный интеллект. Ссылка на GitHub LH | News | OSINT | AI

🔥73👍3

5 Sept 2026, 13:00 UTC≈3,710 views18 reactionsread 8 September 2026
Photo

Зарплаты IT-специалистов в первой половине 2026 года: рост ниже инфляции #карьера #статья #аналитика Каждые полгода мы на Хабр Карьере анализируем зарплаты IT-специалистов, указанные в нашем зарплатном калькуляторе, и собираем большое исследование, посвящённое обстановке на рынке зарплат. В этом материале подготовили для вас итоги первой половины 2026 года: сколько IT-специалисты с разными профессиями и языками за

🤣114🔥3

5 Sept 2026, 08:04 UTC≈3,630 views19 reactionsread 8 September 2026
Photo

sourcemapper #bugbounty #pentest Часто на веб-ресурсах, вайбкодеры забывают убирать публичный доступ к файлам .map. А это значит, что можно достать читаемый исходный код приложения - со всей структурой, путями и логикой. sourcemapper - утилита на Go, которая парсит sourcemap (их генерирует webpack и подобные сборщики) и разворачивает обратно дерево оригинальных исходников JavaScript. Из восстановленных исходников в

👍10🔥54

4 Sept 2026, 13:04 UTC≈3,760 views20 reactionsread 8 September 2026
Photo

Рынок труда в 2026. Что там на самом деле? #статья #аналитика #карьера Примерно 1.5 месяца назад я провела и оформила кабинетное исследование, посвященное текущему рынку труда. Основная причина такого интереса: мой собственный поиск работы — чтобы разработать стратегию и дальнейшие действия, мне пришлось вникнуть в проблематику. Вопросы шли один за другим, и в итоге получился большой проект размером с курсовую. Пол

👍95🔥4🤣2

Showing the 12 most recent of 99 posts we hold for @haccking. 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.

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 9 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Social Engineering
@Social_engineering · 125,064
#1
SecurityLab.ru
@SecLabNews · 83,998
#2
Codeby
@codeby_sec · 36,955
#3
Этичный Хакер
@hack_less · 228,204
#4
infosec
@it_secur · 61,439
#5
Похек
@poxek · 16,707
#6
S.E.Reborn
@S_E_Reborn · 22,355
#7
Хакер — Xakep.RU
@xakep_ru · 39,432
#8
Hacker News
@HNews · 7,298
#9
Пост Лукацкого
@alukatsky · 37,739
#10
Cybred
@cybred · 11,052
#11
Mr. Robot
@elliot_cybersec · 39,084
#12
Мамкин ITшник / IT Юмор / Мемы
@ithumorlol · 2,224
#13
Архив Безопасника
@secure_archive · 10,748
#14
Open Source
@open_source_friend · 52,102
#15
infosecurity
@tg_infosec · 26,804
#16
APT
@APT_Notes · 16,340
#17
Интернет-Розыск
@irozysk · 46,119
#18
S.E.Book
@S_E_Book · 23,175
#19
BI.ZONE
@bizone_channel · 11,148
#20
Inside
@in51d3 · 8,022
#21
Управление Уязвимостями и прочее
@avleonovrus · 11,996
#22
Kali Linux
@linuxkalii · 55,240
#23
no system is safe // cybersec
@nsis_cybersec · 21,676
#24
YAH
@YAH_Channel · 7,558
#25
Записки Безопасника
@infosec_globe · 18,193
#26
Investigation & Forensic TOOLS
@forensictools · 22,294
#27
IT курсы / Программирование / ИИ / ИБ
@hacckingbook · 11,908
#28
Лаборатория хакера
@lab_hack · 25,623
#29
Белый хакер
@bezopasno_soft · 29,691
#30
k8s (in)security
@k8security · 13,081
#31
SHADOW:Group
@shadow_group_tg · 11,488
#32
AM Live
@anti_malware · 13,154
#33
BI.ZONE Bug Bounty
@bizone_bugbounty · 6,598
#34
ZeroDay | Кибербезопасность
@cybersec_academy · 42,850
#35
SecuriXy.kz
@securixy_kz · 10,123
#36
Positive Technologies
@Positive_Technologies · 28,863
#37
Mobile AppSec World
@mobile_appsec_world · 8,369
#38
PurpleBear
@purple_medved · 4,597
#39
Не хакинг, а ИБ
@searchack · 18,292
#40
PRO:PENTEST
@pro_pentest · 10,102
#41
CyberYozh Academy
@cyberyozh_academy · 15,405
#42
PWN AI
@pwnai · 7,145
#43
IT и безопасность
@tg_security · 26,683
#44
CyberINS // Лаборатория ИБешника
@cyberins · 11,506
#45
Пакет Безопасности
@package_security · 33,214
#46
Admin Guides | Сисадмин
@admguides · 11,886
#47
Хабр
@habr_com · 132,178
#48
ESCalator
@ptescalator · 8,005
#49
Blue (h/c)at Café
@bh_cat · 3,978
#50
НеКасперский
@NeKaspersky · 16,033
#51
Не баг, а фича
@bugfeature · 581,205
#52
IT MEGA облако
@it_mega_disk · 11,326
#53
КИБЕР МЕДИА
@secmedia · 5,929
#54
Бункер Хакера
@book_academ · 21,462
#55
Борьба с киберпреступностью | F6
@f6_cybersecurity · 22,283
#56
Just Security
@justsecurity · 3,641
#57
Библиотека хакера | Hacking, Infosec, ИБ, информационная безопасность
@hackproglib · 12,724
#58
Секреты сисадмина | DevOps, Linux, SRE
@sysadmin_library · 25,369
#59
Inf0 | ИБ, OSINT
@info_cybersecurity · 10,205
#60
Bounty On Coffee
@BountyOnCoffee · 4,736
#61
PT SWARM
@ptswarm · 7,480
#62
SecAtor
@true_secator · 41,636
#63
Утечки информации
@dataleak · 119,766
#64
CyberYozh
@cyberyozh_official · 62,680
#65
OFFZONE
@offzone_moscow · 7,346
#66
Эксплойт
@exploitex · 2,022,579
#67
Russian OSINT
@Russian_OSINT · 47,551
#68
Двач
@dvachannel · 937,263
#69
Чёрный Треугольник
@black_triangle_tg · 63,847
#70
Багхантер
@bughunter_circuit · 3,548
#71
RuSecJobs Channel
@RuSecJobs · 11,255
#72
Standoff 365
@standoff_365 · 8,229
#73
Вакансии в ИБ | infosec
@infosec_work · 15,546
#74
Бэкдор
@whackdoor · 1,613,979
#75
STEIN: ИБ, OSINT
@secur_researcher · 14,025
#76
БДУ ФСТЭК России
@bdufstecru · 10,549
#77
T.Hunter
@tomhunter · 14,247
#78
Bafoмёд OSINT
@osint_san_framework · 8,915
#79
Offensive Xwitter
@OffensiveTwitter · 20,875
#80
Information Security Memes
@infosecmemes · 9,709
#81
Информация опасносте
@alexmakus · 18,814
#82
GitHub Community
@github · 155,616
#83
Код.ру
@d_code · 390,858
#84
vx-underground
@vxunderground · 51,951
#85

Read from Telegram’s recommendation API, most recently 21 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

CYBER HUNTER - Кибербезопасность
@cyberbezopasno · 48,602
Telegram ranks this channel #2 of 50 here — alongside 49 others — read 26 August 2026
Кладовка Pavlu
@KladovkaPavlu · 65,146
Telegram ranks this channel #5 of 76 here — alongside 75 others — read 4 September 2026
LAMERLAND - overbafer1
@overlamer1 · 81,009
Telegram ranks this channel #6 of 85 here — alongside 84 others — read 18 August 2026
Codeby
@codeby_sec · 36,955
Telegram ranks this channel #7 of 76 here — alongside 75 others — read 1 September 2026
TechNews
@techlucker · 43,594
Telegram ranks this channel #7 of 79 here — alongside 78 others — read 28 August 2026
Mr. Robot
@elliot_cybersec · 39,084
Telegram ranks this channel #8 of 70 here — alongside 69 others — read 31 August 2026
Open Source
@open_source_friend · 52,102
Telegram ranks this channel #9 of 87 here — alongside 86 others — read 24 August 2026
Этичный Хакер
@hack_less · 228,204
Telegram ranks this channel #9 of 81 here — alongside 80 others — read 12 August 2026
Kali Linux
@linuxkalii · 55,240
Telegram ranks this channel #10 of 89 here — alongside 88 others — read 23 August 2026
Termux, please
@termuxplz0x41 · 32,844
Telegram ranks this channel #12 of 54 here — alongside 53 others — read 4 September 2026
Хакер — Xakep.RU
@xakep_ru · 39,432
Telegram ranks this channel #13 of 83 here — alongside 82 others — read 30 August 2026
Social Engineering
@Social_engineering · 125,064
Telegram ranks this channel #14 of 82 here — alongside 81 others — read 13 August 2026
Отдел К: IT-технологии, кибербезопасность
@cyber_cabb · 81,575
Telegram ranks this channel #15 of 94 here — alongside 93 others — read 18 August 2026
infosec
@it_secur · 61,439
Telegram ranks this channel #17 of 81 here — alongside 80 others — read 22 August 2026
SecurityLab.ru
@SecLabNews · 83,998
Telegram ranks this channel #17 of 90 here — alongside 89 others — read 18 August 2026
ZeroDay | Кибербезопасность
@cybersec_academy · 42,850
Telegram ranks this channel #18 of 70 here — alongside 69 others — read 29 August 2026
Белый хакер
@bezopasno_soft · 29,691
Telegram ranks this channel #20 of 78 here — alongside 77 others — read 8 September 2026
Task No Face
@TaskNoFace · 29,677
Telegram ranks this channel #21 of 78 here — alongside 77 others — read 8 September 2026
Интернет-Розыск
@irozysk · 46,119
Telegram ranks this channel #22 of 79 here — alongside 78 others — read 27 August 2026
NOP::Nuances of Programming
@nuancesprog · 56,702
Telegram ranks this channel #27 of 84 here — alongside 83 others — read 23 August 2026
Троянский конь | IT, технологии
@trojan_anonym · 64,700
Telegram ranks this channel #30 of 82 here — alongside 81 others — read 21 August 2026
Пакет Безопасности
@package_security · 33,214
Telegram ranks this channel #31 of 82 here — alongside 81 others — read 4 September 2026
CyberYozh
@cyberyozh_official · 62,680
Telegram ranks this channel #32 of 81 here — alongside 80 others — read 21 August 2026
BZD • Книги для программистов
@bzd_channel · 36,431
Telegram ranks this channel #33 of 57 here — alongside 56 others — read 1 September 2026

This channel appears in 33 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 6 September 2026 — this entry's latest reading, not the date you are reading this.

“Life-Hack - Хакер” (@haccking), 63,216 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/haccking.

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.