Hacking & security — 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 98% 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
34 measurements spanning 43 days, net +350. 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 56,242–56,697 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 08:16
56,644
+24
16 Sept 2026, 05:21
56,620
+18
14 Sept 2026, 11:39
56,602
+19
12 Sept 2026, 23:18
56,583
-3
11 Sept 2026, 03:00
56,586
+45
8 Sept 2026, 02:57
56,541
+52
4 Sept 2026, 22:59
56,489
+35
3 Sept 2026, 06:37
56,454
-5
1 Sept 2026, 21:55
56,459
+2
31 Aug 2026, 23:27
56,457
+9
30 Aug 2026, 21:16
56,448
-8
29 Aug 2026, 17:55
56,456
-6
28 Aug 2026, 15:23
56,462
+20
27 Aug 2026, 18:12
56,442
+6
26 Aug 2026, 15:48
56,436
+4
25 Aug 2026, 14:12
56,432
+16
24 Aug 2026, 10:36
56,416
-11
22 Aug 2026, 21:44
56,427
+24
21 Aug 2026, 12:47
56,403
+17
20 Aug 2026, 15:51
56,386
first reading
Engagement
50 posts held, back to 2 July 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 106 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.58%
avg views ÷ 56,644 subscribers
Avg views / post
4,290
17 posts measured
Reaction rate
0.122%
reactions ÷ views · ER floor
Posts in window
17
of 50 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 26 September 2026
Posts held
50 (2 July 2026 – 26 September 2026)
Views total
72,950
Reactions total
89
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 16:24 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
≈205
Videos
≈3
Links
≈114,000
Lifetime counters from Telegram’s own channel header, read 27 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
306 reactions across 45 posts, in 9 distinct kinds. The most used accounts for 54.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
167
54.6%
👍
63
20.6%
🔥
30
9.80%
👀
23
7.52%
👎
13
4.25%
👏
4
1.31%
😁
4
1.31%
💯
1
0.327%
🤩
1
0.327%
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 47 of the 50 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 306 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 50 most recent posts we hold, published 2 July 2026 to 26 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
1
across the posts below
Posts paid on
1
of 50 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Cyber_Security_Channel. 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 50 most recent posts we hold for this entry, published 2 July 2026 to 26 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
18.0%
9 of 50 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
5,330
over 9 measured posts
Median views · rest
5,420
over 41 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Measured over the 50 most recent posts we hold, published 2 July 2026 to 26 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.
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🔥2👍1
Showing the 12 most recent of 50 posts we hold for @Cyber_Security_Channel. 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
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.
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.
Read from Telegram’s recommendation API, most recently 23 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.
Cloud and Cybersecurity @cloudandcybersecurity · 21,809 Telegram ranks this channel #2 of 62 here — alongside 61 others — read 22 September 2026
🛡 Cybersecurity & Privacy 🛡 - News @cibsecurity · 28,261 Telegram ranks this channel #3 of 58 here — alongside 57 others — read 10 September 2026
TechnoHacks Internship Updates @TechnoHacksofficial · 29,058 Telegram ranks this channel #4 of 36 here — alongside 35 others — read 8 September 2026
The Hacker News @thehackernews · 164,155 Telegram ranks this channel #4 of 58 here — alongside 57 others — read 13 August 2026
CyberDost @cyberdosti4c · 21,531 Telegram ranks this channel #5 of 60 here — alongside 59 others — read 23 September 2026
Cyber Threat Intelligence @ctinow · 38,690 Telegram ranks this channel #12 of 42 here — alongside 41 others — read 31 August 2026
Learn Cybersecurity @teammatrixs · 23,937 Telegram ranks this channel #14 of 26 here — alongside 25 others — read 17 September 2026
Blue Team | SOC | DFIR | Cloud Security @BlueTeamOps · 27,712 Telegram ranks this channel #18 of 53 here — alongside 52 others — read 11 September 2026
Codelivly - Your Journey To Cybersecurity @codelivly · 35,373 Telegram ranks this channel #18 of 41 here — alongside 40 others — read 8 September 2026
Pentesting News @PentestingNews · 26,663 Telegram ranks this channel #23 of 46 here — alongside 45 others — read 12 September 2026
The Bug Bounty Hunter @thebugbountyhunter · 50,736 Telegram ranks this channel #27 of 60 here — alongside 59 others — read 25 August 2026
CUET UG PG NCERT Notes PDF QUIZ @CUET_UG_PG_NCERT_Notes_PDF_QUIZ · 28,924 Telegram ranks this channel #29 of 61 here — alongside 60 others — read 8 September 2026
Linuxgram 🐧 @linuxgram · 72,668 Telegram ranks this channel #29 of 90 here — alongside 89 others — read 19 August 2026
मराठीनोकरी @MH_mnu · 24,132 Telegram ranks this channel #50 of 56 here — alongside 55 others — read 16 September 2026
Artificial Intelligence && Deep Learning @DeepLearning_ai · 57,432 Telegram ranks this channel #52 of 87 here — alongside 86 others — read 23 August 2026
Computer Science and Programming @computer_science_and_programming · 139,806 Telegram ranks this channel #54 of 87 here — alongside 86 others — read 13 August 2026
BE/BTech/MCA Freshers IT JOBS @freshers_it_jobs · 29,902 Telegram ranks this channel #66 of 68 here — alongside 67 others — read 7 September 2026
Artificial Intelligence @Artificial_intelligence_in · 65,766 Telegram ranks this channel #73 of 90 here — alongside 89 others — read 21 August 2026
This channel appears in 18 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Cyber Security News” (@Cyber_Security_Channel), 56,644 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Cyber_Security_Channel.
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.