Technology — 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 66% 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
31 measurements spanning 43 days, net +115. 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 11,626–11,782 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
19 Sept 2026, 01:19
11,760
-4
16 Sept 2026, 17:57
11,764
+7
14 Sept 2026, 17:19
11,757
+5
13 Sept 2026, 02:57
11,752
+12
11 Sept 2026, 02:20
11,740
+1
8 Sept 2026, 05:20
11,739
-15
5 Sept 2026, 00:02
11,754
+8
3 Sept 2026, 09:37
11,746
+4
2 Sept 2026, 01:28
11,742
+3
1 Sept 2026, 03:36
11,739
+4
31 Aug 2026, 05:28
11,735
+5
30 Aug 2026, 07:27
11,730
-4
28 Aug 2026, 08:16
11,734
+1
27 Aug 2026, 10:12
11,733
+4
26 Aug 2026, 11:02
11,729
+5
25 Aug 2026, 14:17
11,724
-2
22 Aug 2026, 23:43
11,726
+10
21 Aug 2026, 14:18
11,716
+2
20 Aug 2026, 12:26
11,714
+9
19 Aug 2026, 15:23
11,705
first reading
Engagement
30 posts held, back to 21 April 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.29%
avg views ÷ 11,760 subscribers
Avg views / post
622
7 posts measured
Reaction rate
0.339%
reactions ÷ views · ER floor
Posts in window
7
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. It is computed over the 4 of 7 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 1 September 2026
Posts held
30 (21 April 2026 – 1 September 2026)
Views total
4,357
Reactions total
9
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 00:27 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
13s
Average length
13s
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
64 reactions across 16 posts, in 5 distinct kinds. The most used accounts for 53.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
34
53.1%
🤣
15
23.4%
👍
12
18.8%
👏
2
3.13%
😁
1
1.56%
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 17 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 64 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 21 April 2026 to 1 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.
Créer une fausse invite UAC pour exfiltrer des identifiants
L’UAC (User Account Control) est une fonctionnalité de sécurité intégrée à Windows qui permet de limiter l’exécution d’actions nécessitant des privilèges élevés et de demander une confirmation à l’utilisateur lorsqu’une opération sensible est effectuée.
Ce blog post présente une technique qui exploite le fonctionnement de l’UAC afin de reproduire une f…
Imaginez pouvoir connecter directement deux machines à l’aide d’un simple token.
Pas de compte Tailscale.
Pas de VPN.
Pas besoin d’ouvrir de ports.
Pas de privilèges root.
Pas de configuration complexe des routes ou du DNS.
Tailcat réutilise WireGuard, le NAT traversal et DERP pour établir un tunnel chiffré entre deux machines.
Une fois la connexion établie, il devient possible de :
→ Transférer des…
Voici un post sur une faille de logique. Faites un tour et revenez me dire 🙏.
https://www.linkedin.com/posts/aldo-kenfack-575a722a7_cybersecurity-securecoding-springboot-activity-7498658390798311425--U-o?utm_source=social_share_send&utm_medium=android_app&rcm=ACoAAEoEr6kBn2TTgEZBJflKK0Ud_NOWTpbgvjo&utm_campaign=whatsapp
Il a découvert une backdoor dissimulée dans une offre d’emploi publiée sur LinkedIn.
Dans un article de blog, le security researcher Roman Imankulov explique comment il a découvert une backdoor qui lui avait été transmise à travers une offre d’emploi provenant d’une entreprise.
Il détaille également les différentes étapes qui lui ont permis d’identifier la menace et de comprendre son fonctionnement en seuleme…
Des chercheurs ont développé Mimic, un Browser-in-the-Browser (BitB) « frameless » qui reproduit l’apparence d’un véritable navigateur sans utiliser d’iframe.
Un BitB consiste à simuler l’interface d’un navigateur directement dans une page web. Mimic va plus loin en reproduisant notamment la barre d’adresse, les contrôles, les informations du site et les détails du certificat.
Plutôt que d’utiliser une iframe, Mimi…
Apprenez le drone hacking grâce a ce projet...
Le projet Damn Vulnerable Drone(DVD) est un simulateur de piratage de drone volontairement vulnérable, basé sur l'architecture populaire ArduPilot/MAVLink, qui offre un environnement réaliste pour s'exercer concrètement au piratage de drones.
Le lien du projet : https://github.com/nicholasaleks/Damn-Vulnerable-Drone
ssionnelles.
Connaissez-vous les techniques permettant d’exploiter un partage disposant de droits d’écriture afin d’obtenir un accès à une machine ?
Si vous avez déjà scanné une machine et découvert qu’un partage dispose de droits d’écriture et que vous pouvez y accéder, sachez que vous pouvez utiliser différentes techniques.
Comme celles présentées dans le de blog ci-dessous, pour exploiter cette mauvaise configuration …
Bonjour la famille,
J’ai eu à faire le write-up du challenge Cicada, un challenge Active Directory avec une difficulté facile, qui est principalement basé sur les erreurs de configuration au niveau des partages SMB, ainsi que sur certaines situations de Plaintext Credential Storage.
https://medium.com/@kankojoseph/cicada-write-up-easy-difficulty-f6bfcdb5561c
Bonjour la famille,
J’ai eu à faire le write-up du challenge Cicada, un challenge Active Directory avec une difficulté facile, qui est principalement basé sur les erreurs de configuration au niveau des partages SMB, ainsi que sur certaines situations de Plaintext Credential Storage.
https://medium.com/me/stats/post/f6bfcdb5561c?statsForAllStoriesUrl=https%3A%2F%2Fmedium.com%2Fme%2Fstats&source=stats_homepage-------…
Showing the 12 most recent of 30 posts we hold for @firsend. 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.
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.
MUSIQUE ZONE @Music_Shar_Club · 70,091 Telegram ranks this channel #32 of 38 here — alongside 37 others — read 20 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“💻🛠 Programmation et tutos🛠💻” (@firsend), 11,760 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/firsend.
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.