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Channel

cRyPtHoN™ INFOSEC (IT)

@cRyPtHoN_INFOSEC_IT

On this record: Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry

630subscribers

+3 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001623739903
TypeChannel
Username@cRyPtHoN_INFOSEC_IT
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/cRyPtHoN_INFOSEC_IT

Growth

627630628.56 August 2026 — 627 subscribers6 August 2026 — 627 subscribers13 August 2026 — 630 subscribers6 August 202613 August 2026
3 measurements spanning 7 days, net +3. 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 627–630 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 16:48630+3
6 Aug 2026, 17:33627no change
6 Aug 2026, 10:49627first reading

Engagement

20 posts held, back to 27 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.22%
avg views ÷ 630 subscribers
Avg views / post
58.1
20 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
20
of 20 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 5 August 2026
Posts held20 (27 July 20265 August 2026)
Views total1,162
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 17:33 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.

Recent posts

5 Aug 2026, 17:20 UTC41 viewsread 6 August 2026

AI e cloud rendono il phishing invisibile a utenti e difese https://www.securityopenlab.it/news/6803/ai-e-cloud-rendono-il-phishing-invisibile-a-utenti-e-difese.html 📡@cRyPtHoN_INFOSEC_IT 📡@cRyPtHoN_INFOSEC_FR 📡@cRyPHoN_INFOSEC_EN 📡@cRyPtHoN_INFOSEC_DE 📡@BlackBox_Archiv.

5 Aug 2026, 17:18 UTC35 viewsread 6 August 2026

AI Act, polizia e sorveglianza biometrica: il parere del Garante Privacy sull’implementazione italiana del Regolamento UE https://www.ictsecuritymagazine.com/notizie/ai-act-biometria/ 📡@cRyPtHoN_INFOSEC_IT 📡@cRyPtHoN_INFOSEC_FR 📡@cRyPHoN_INFOSEC_EN 📡@cRyPtHoN_INFOSEC_DE 📡@BlackBox_Archiv.

5 Aug 2026, 17:17 UTC36 viewsread 6 August 2026

Acqua sotto attacco: come hacker legati all'Iran hanno tentato di contaminare le reti idriche di sette stati USA https://insicurezzadigitale.com/acqua-sotto-attacco-come-hacker-legati-alliran-hanno-tentato-di-contaminare-le-reti-idriche-di-sette-stati-usa/ 📡@cRyPtHoN_INFOSEC_IT 📡@cRyPtHoN_INFOSEC_FR 📡@cRyPHoN_INFOSEC_EN 📡@cRyPtHoN_INFOSEC_DE 📡@BlackBox_Archiv.

4 Aug 2026, 06:12 UTC56 viewsread 6 August 2026

ISPM: irrobustire le identità dove l’attacco si allarga https://www.ictsecuritymagazine.com/articoli/ispm-identity-security-posture-management/ 📡@cRyPtHoN_INFOSEC_IT 📡@cRyPtHoN_INFOSEC_FR 📡@cRyPHoN_INFOSEC_EN 📡@cRyPtHoN_INFOSEC_DE 📡@BlackBox_Archiv.

4 Aug 2026, 06:09 UTC52 viewsread 6 August 2026

Alle 2:20 del mattino di martedì 28 luglio, poche ore prima che le azioni di Unitel iniziassero a essere scambiate sulla borsa di Luanda nella più grande IPO della storia angolana, i sistemi core del principale operatore di telecomunicazioni del paese sono andati in tilt. https://insicurezzadigitale.com/un-attacco-informatico-spegne-21-milioni-di-angolani-alla-vigilia-della-piu-grande-ipo-del-paese-cosa-sappiamo-su-

31 Jul 2026, 12:08 UTC89 viewsread 6 August 2026

Manufacturing connesso: la sicurezza OT diventa priorità operativa Il 59% delle aziende manifatturiere ha subìto impatti finanziari da incidenti cyber. In quasi il 60% dei casi, ciascun evento ha comportato costi superiori a un milione di dollari. https://www.securityopenlab.it/news/6800/manufacturing-connesso-la-sicurezza-ot-diventa-priorita-operativa.html 📡@cRyPtHoN_INFOSEC_IT 📡@cRyPtHoN_INFOSEC_FR 📡@cRyPHoN_INFO

31 Jul 2026, 12:08 UTC75 viewsread 6 August 2026

AI e cloud rendono il phishing invisibile a utenti e difese Testi nascosti generati con l'AI e servizi cloud legittimi permettono ai cyber criminali di superare i filtri e creare pagine di login indistinguibili da quelle reali. https://www.securityopenlab.it/news/6803/ai-e-cloud-rendono-il-phishing-invisibile-a-utenti-e-difese.html 📡@cRyPtHoN_INFOSEC_IT 📡@cRyPtHoN_INFOSEC_FR 📡@cRyPHoN_INFOSEC_EN 📡@cRyPtHoN_INFOSEC_

31 Jul 2026, 12:07 UTC59 viewsread 6 August 2026

Il GDPR non chiede solo obbedienza: principi, rischio, responsabilizzazione Chi si occupava di protezione dei dati cercava nella normativa un elenco di cose da fare. Nella struttura dell’articolo 24 del Regolamento, il GDPR mostra che una normativa fondata su principi e rischio non è più debole, ma più esigente. Ecco perché il regolamento europeo non ha abolito il diritto… https://www.cybersecurity360.it/legal/il-gd

31 Jul 2026, 12:07 UTC47 viewsread 6 August 2026

Il jailbreak universale alla vigilia dell’AI Act: ecco l’impatto nella sicurezza aziendale Il prossimo 2 agosto si applicherà l'articolo 55 dell'AI Act, che impone ai fornitori di modelli general purpose, a rischio sistemico, obblighi stringenti di red teaming, gestione degli incidenti e resilienza. Tra rivendicazioni social, ricerca accademica e obblighi normativi: cosa cambia nella… https://www.cybersecurity360.it

31 Jul 2026, 12:07 UTC41 viewsread 6 August 2026

Il ruolo del CISO tra lo scetticismo del Board e la rivoluzione dell’IA Un'analisi approfondita sulle complesse dinamiche comunicative tra la figura del CISO e i consigli di amministrazione aziendali, esaminando l'impatto dirompente dell'intelligenza artificiale e la gestione strategica del debito tecnico del software L'articolo Il ruolo del CISO tra lo scetticismo del… https://www.cybersecurity360.it/cultura-cyber/

31 Jul 2026, 12:07 UTC41 viewsread 6 August 2026

Agenti AI che attaccano: la lezione dai casi Anthropic e OpenAI Anche Anthropic riporta un caso di un'agente AI che fa attacchi cyber non richiesti. Si aggiunge al pericoloso precedente OpenAI-Hugging Face, che è il primo esempio di attacchi AI autonomi senza (anzi contro) la volontà umana. Ecco che succede e cosa imparare L'articolo Agenti AI che attaccano: la… https://www.cybersecurity360.it/nuove-minacce/agenti-a

31 Jul 2026, 12:07 UTC44 viewsread 6 August 2026

AI Act, Garante: più tutele per i dati biometrici e garanzie nello schema di DL In ambito adeguamento della normativa italiana all’AI Act, il Garante Privacy scende in campo per disciplinare l’uso dei sistemi di intelligenza artificiale da parte delle Forze di polizia, stabilendo limiti, presupposti e garanzie per il trattamento dati biometrici e per l’uso di tecnologie di… https://www.cybersecurity360.it/news/ai-ac

Showing the 12 most recent of 20 posts we hold for @cRyPtHoN_INFOSEC_IT. 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.

Citation-graph rank

Citation-graph rank — 704,691 of 1,480,975entries 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.

Mentions

Named by 4 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“cRyPtHoN™ INFOSEC (IT)” (@cRyPtHoN_INFOSEC_IT), 630 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/cRyPtHoN_INFOSEC_IT.

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.