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 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.
Growth
25 measurements spanning 42 days, net +221. 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 9,912–10,200 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
17 Sept 2026, 12:15
10,166
-1
15 Sept 2026, 11:59
10,167
+10
13 Sept 2026, 21:22
10,157
+8
9 Sept 2026, 16:58
10,149
+26
6 Sept 2026, 08:15
10,123
+18
4 Sept 2026, 03:17
10,105
+6
2 Sept 2026, 17:03
10,099
+9
1 Sept 2026, 13:46
10,090
+3
30 Aug 2026, 11:18
10,087
+7
29 Aug 2026, 08:23
10,080
+6
28 Aug 2026, 06:54
10,074
-4
27 Aug 2026, 10:06
10,078
+3
26 Aug 2026, 12:04
10,075
+11
25 Aug 2026, 09:54
10,064
+6
24 Aug 2026, 13:16
10,058
+3
22 Aug 2026, 21:05
10,055
+6
20 Aug 2026, 05:58
10,049
+5
19 Aug 2026, 09:28
10,044
+8
18 Aug 2026, 11:34
10,036
+10
17 Aug 2026, 12:34
10,026
first reading
Engagement
30 posts held, back to 15 May 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 37 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.01%
avg views ÷ 10,166 subscribers
Avg views / post
916
1 post measured
Reaction rate
1.42%
reactions ÷ views · ER floor
Posts in window
1
of 30 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
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
30 (15 May 2026 – 28 August 2026)
Views total
916
Reactions total
13
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 03:54 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
2m 52s
Average length
2m 52s
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
740 reactions across 28 posts, in 18 distinct kinds. The most used accounts for 39.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
290
39.2%
❤
164
22.2%
👍
107
14.5%
😱
41
5.54%
👏
38
5.14%
custom 6325476444541552410
35
4.73%
😁
31
4.19%
🤯
8
1.08%
custom 5210981411036606944
5
0.676%
❤🔥
5
0.676%
👎
5
0.676%
🤩
3
0.405%
💯
2
0.27%
🤬
2
0.27%
⚡
1
0.135%
😢
1
0.135%
🤔
1
0.135%
🤮
1
0.135%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 28 of the 30 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 740 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 15 May 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.
Telegram Stars
Stars received
13
across the posts below
Posts paid on
7
of 28 we hold a reading for · 25%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @securixy_kz. 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 30 most recent posts we hold for this entry, published 15 May 2026 to 28 August 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
3.33%
1 of 30 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
916
over 1 measured post
Median views · rest
4,000
over 27 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 30 most recent posts we hold, published 15 May 2026 to 28 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.
🌐 iwa-tools - атаки из вкладки Chrome
Вячеслав Цепенников (CICADA8 Research) выступил на OFFZONE 2026 с докладом "Living off the Browser" и собрал iwa-tools - набор пентест-утилит, который работает внутри Chrome как обычное веб-приложение. Chrome дает такому приложению (Isolated Web App) доступ к сырым TCP/UDP-сокетам через экспериментальный Direct Sockets API. Автор реализовал на этой базе полноценные протокольные …
🎯 Out of Path - канал про экономику ИТ/ИБ в Казахстане
Коллега запустил канал про ИБ, ИТ и телеком и сразу зашел с темы, которую на рынке РК обычно обсуждают на уровне слухов: почему коммерческий SOC стоит столько, сколько стоит, и почему из этого вытекает отсутствие форензики, Threat Hunting и реверса. Подписчиков пока мало, посты по делу - рекомендуем.
💰 Экономика вопроса:
SOC 24/7/365 - это не два человека, а см…
📉 OpenRouter - как перестать платить в десятки раз больше
Гоняю Hermes Agent через OpenRouter и заметил, что очень быстро уходит баланс. Оказалось, роутер по умолчанию отправляет запросы партнерским провайдерам, а не в официальный эндпоинт модели. Разница в цене - десятки раз.
📊 Цены на одну и ту же DeepSeek V4 Flash (вход / выход / cache read за 1M):
1. DeepSeek официальный - $0.66 / $1.98 / $0.022
2. GMICloud - …
🧬 re-harness - анализ ВПО на LLM
Наш товарищ и автор канала Order of Six Angles выложил свою обвязку для статического анализа Windows PE через IDA на локальных моделях. Ключевая идея - урезать интерфейс между LLM и IDA: пять инструментов вместо 88 функций типового MCP-сервера, схема на ~2000 токенов вместо ~30000. Для маленьких моделей это меньше путаницы в tool calls и больше контекста под сам анализ.
📦 Под капото…
🎉 Нас 10 000
Аж 1️⃣0️⃣0️⃣0️⃣0️⃣ 😱
Когда мы создавали @securixy_kz, не думали, что вокруг канала соберется такое сообщество пентестеров, форензиков, багхантеров и всех, кому интересен практический кибербез, а не пересказ новостей.
Канал вырос без какой-либо рекламы, только за счет ваших пересылок. Спасибо каждому, кто читает, присылает идеи, находки, исследования и делится своим опытом.
🎁 В честь этой знаковой отме…
🛡 DontFeedTheAI - прокси, прокси, который прячет ваш контур от LLM
ИИ-модели осваивают все подряд, и уже никого не удивить навязанным во многих компаниях "внедрением вынужденной автоматизации бизнес-процессов". Локальные LLM хоть и подконтрольны, но требуют железа с большим объемом RAM, поэтому работодатели не хотят затрат и идут к Anthropic, OpenAI, Grok и "китайцам", безмерно дистиллирующим лидеров рынка.
Разрабо…
🔑 Pass-the-Passkey - атаки на passkey в Windows и Entra ID
Michael Grafnetter (SpecterOps, автор Shadow Credentials и DSInternals) на Black Hat USA 2026 разобрал passkey-стек Microsoft: три 0-day и 20+ техник. Суть в том, что взламывать сам ключ не нужно - его крадут уже в готовом подписанном виде и подсовывают серверу как свой.
📋 CVE-2026-34348:
Windows 11 записывала полный ответ авторизации по passkey прямо в жур…
Showing the 12 most recent of 30 posts we hold for @securixy_kz. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 2 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.
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.
SecAtor @true_secator · 41,700 Telegram ranks this channel #23 of 78 here — alongside 77 others — read 29 August 2026
Codeby @codeby_sec · 36,985 Telegram ranks this channel #24 of 76 here — alongside 75 others — read 1 September 2026
Хакер — Xakep.RU @xakep_ru · 39,506 Telegram ranks this channel #24 of 83 here — alongside 82 others — read 30 August 2026
S.E.Reborn @S_E_Reborn · 22,374 Telegram ranks this channel #25 of 66 here — alongside 65 others — read 20 September 2026
infosecurity @tg_infosec · 26,786 Telegram ranks this channel #25 of 74 here — alongside 73 others — read 11 September 2026
infosec @it_secur · 61,761 Telegram ranks this channel #34 of 81 here — alongside 80 others — read 22 August 2026
Пакет Безопасности @package_security · 33,106 Telegram ranks this channel #35 of 82 here — alongside 81 others — read 4 September 2026
Life-Hack - Хакер @haccking · 63,203 Telegram ranks this channel #36 of 85 here — alongside 84 others — read 21 August 2026
no system is safe // cybersec @nsis_cybersec · 21,653 Telegram ranks this channel #37 of 71 here — alongside 70 others — read 23 September 2026
Investigation & Forensic TOOLS @forensictools · 22,368 Telegram ranks this channel #40 of 74 here — alongside 73 others — read 20 September 2026
Social Engineering @Social_engineering · 125,008 Telegram ranks this channel #44 of 82 here — alongside 81 others — read 13 August 2026
OSINT mindset @osint_mindset · 64,564 Telegram ranks this channel #47 of 83 here — alongside 82 others — read 21 August 2026
The Bug Bounty Hunter @thebugbountyhunter · 50,736 Telegram ranks this channel #53 of 60 here — alongside 59 others — read 25 August 2026
Белый хакер @bezopasno_soft · 29,706 Telegram ranks this channel #55 of 78 here — alongside 77 others — read 8 September 2026
Mr. Robot @elliot_cybersec · 38,957 Telegram ranks this channel #58 of 70 here — alongside 69 others — read 31 August 2026
Russian OSINT @Russian_OSINT · 47,701 Telegram ranks this channel #73 of 82 here — alongside 81 others — read 26 August 2026
This channel appears in 16 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“SecuriXy.kz” (@securixy_kz), 10,166 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/securixy_kz.
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.