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Channel

أمن - PRO

@S1ecurity_Pro

On this record: Observations · Growth · Engagement · Posts · Citations · Cite this entry

2,949subscribers

+144 since we began measuring on 22 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003143609504
TypeChannel
Username@S1ecurity_Pro
CreatedBetween 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded22 August 2026
Last confirmed live29 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/S1ecurity_Pro

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Views per post sit far above this size band

3,330 average views per post against 2,949 subscribers — an engagement rate of 113.1%. Across the 6,320 registered channels in the same cohort — 1,000–3,162 subscribers, posting mainly in Arabic — the middle half sit between 4.42% and 18.0%, with a median of 9.29%.

What this was computed from
Window30 days (31 July 2026 30 August 2026)
Posts measured10 of 10 published in the window (0 exact, 10 rounded by Telegram)
Views totalled33,340
Mature posts only118.4% over 9 posts read at least 24h after publication
Subscribers2,949 measured 29 August 2026
Cohortb1000:ara · 6,320 channels · p10 2.14% · p25 4.42% · p50 9.29% · p75 18.0% · p90 33.1%
Position in cohort99.462th percentile · 12.2× the cohort median
Uncertainty±0.102% of the figure, from Telegram’s rounding
Post languageArabic · 100.0%of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 30 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

2,8052,9492,87722 August 2026 — 2,805 subscribers23 August 2026 — 2,896 subscribers26 August 2026 — 2,899 subscribers29 August 2026 — 2,949 subscribers22 August 202629 August 2026
4 measurements spanning 7 days, net +144. 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 2,783–2,971 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 09:242,949+50
26 Aug 2026, 16:142,899+3
23 Aug 2026, 05:552,896+91
22 Aug 2026, 09:002,805first reading

Engagement

11 posts held, back to 31 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
113.1%
avg views ÷ 2,949 subscribers
Avg views / post
3,330
10 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
10
of 11 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 21 August 2026
Posts held11 (31 July 202621 August 2026)
Views total33,340
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 09:00 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

21 Aug 2026, 22:04 UTC≈1,920 viewsread 22 August 2026
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🔐 نصيحة أمنية | معلوماتك الشخصية قد تتحول إلى نقطة ضعف ما تنشره على مواقع التواصل ليس مجرد تفاصيل عابرة. 📌 موقعك ومكان سكنك 📲 رقم هاتفك 🪪 صور الوثائق والهويات 👨‍👩‍👧‍👦 معلومات عن عائلتك وحياتك اليومية قد تبدو هذه المعلومات غير مهمة كلٌ على حدة، لكن جمعها معًا قد يمنح المهاجم صورة دقيقة عنك ويُسهّل عمليات التصيّد، انتحال الشخصية أو استهدافك اجتماعيًا. قبل أن تنشر، اسأل نفسك: هل أحتاج فعلًا أن يعرف الجميع هذه المعلو

18 Aug 2026, 02:25 UTC≈2,640 viewsread 22 August 2026
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⚠️ تحذير أمني | تطبيقات APK المعدّلة قد تكون التطبيقات المعدّلة وسيلة لسرقة بياناتك وحساباتك. 🛡 لا تثبّت APK من مصادر غير موثوقة، واعتمد على المتاجر الرسمية فقط. أمن PRO 🛡 منصتكم نحو وعي رقمي أكثر أمانًا. 🔗- https://t.me/S1ecurity_Pro

13 Aug 2026, 17:16 UTC≈3,080 viewsread 22 August 2026

🔐 مساعد PRO للفحص الأمني بوت مخصص لفحص الروابط والملفات والتحقق من مستوى أمانها، لمساعدتك على اكتشاف المحتوى المشبوه أو الضار قبل فتحه أو استخدامه. أرسل الرابط أو الملف، ودع الفحص الأمني يبدأ. 🤖- @S1ecurity_Pro0_bot اضغط هنا ↑↑

13 Aug 2026, 09:30 UTC≈3,840 viewsread 22 August 2026
File

متابعينا الكرام 👥 نضع بين أيديكم ملف «20 نصيحة تقنية وأمنية»، صُمّم خصيصًا لكم، بهدف تعزيز الوعي الأمني والتقني، وتقديم نصائح بسيطة وعملية تساعدكم على حماية أنفسكم وبياناتكم في العالم الرقمي. نتمنى أن يكون الملف مفيدًا لكم، وأن يحقق الغاية التي أُعد من أجلها. بدعمكم نستمر… وبكم نرتقي.

12 Aug 2026, 18:00 UTC≈5,800 viewsread 22 August 2026

🔐 أمن PRO منصتكم نحو وعي رقمي أكثر أمانًا. 🚨 تحذيرات أمنية ⚠️ تنبيهات مهمة 🛡 توعية وحماية رقمية 💻 تعليم احترافي في الأمن السيبراني 🔖 معلومات ونصائح موثوقة دعمكم للقناة ونشرها يساهم في وصول الوعي الأمني إلى المزيد من الأشخاص. كونوا جزءًا من أمن PRO… وخلّوا وعيكم خط الدفاع الأول. 🔐 https://t.me/S1ecurity_Pro رابط القناة ↑↑

10 Aug 2026, 20:05 UTC≈2,680 viewsread 22 August 2026
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🔐 هجوم الرجل في المنتصف | MITM هجوم يتسلل فيه المهاجم بين طرفين متصلين لاعتراض البيانات أو التلاعب بها دون علمهما. ⚠️ يكثر خطره عبر شبكات Wi-Fi العامة وغير الموثوقة. 🛡 احمِ اتصالك قبل بياناتك. آمن PRO نحو مستقبلٍ آمن 🛡 |🔗- t.me/S1ecurity_Pro

9 Aug 2026, 17:38 UTC≈2,920 viewsread 22 August 2026

📢 إعلان رسمي | أمن PRO نعلن رسميًا عن اختتام المستوى الأول من دورة «أمن PRO | الوعي السيبراني الشامل» بنجاح، وبذلك يرتفع عدد الدفعات المنجزة إلى 3 دفعات، بإجمالي 290 متدربًا خضعوا للبرنامج التدريبي. 🚀 والآن نقترب من المرحلة التالية… قريبًا سيتم إطلاق أمن PRO | المستوى الثاني: تقنية المعلومات و الحاسوب وشرح أنظمته ومكوناته إضافة إلى الشبكات وفهم التشفير وبداية لغة بايثونPython وكيفية استعمالها في المجال التخصصي ،

6 Aug 2026, 09:37 UTC≈3,540 viewsread 22 August 2026

أولًا: التصيد عبر البريد الإلكتروني (Email Phishing) ثانياً: التصيد عبر الرسائل النصية (Smishing) ثالثاً: التصيد عبر المكالمات الهاتفية (Vishing) رابعاً - التصيد الموجّه (Spear Phishing) خامسًا: التصيد عبر الإعلانات (Search Engine Phishing / SEO Phishing) سادسا ً: التصيد عبر وسائل التواصل الاجتماعي (Social Media Phishing) سابعًا: التصيد عبر انتحال المواقع الإلكترونية (Website Spoofing) ثامنًا: التصيد عبر رموز

2 Aug 2026, 21:14 UTC≈3,790 viewsread 22 August 2026

الخامس عشر: التصيد عبر الذكاء الاصطناعي (AI Phishing) يعتمد هذا النوع من التصيد على استخدام تقنيات الذكاء الاصطناعي لإنشاء رسائل أو أصوات أو مقاطع فيديو مزيفة يصعب تمييزها عن الحقيقية. كيف يتم تنفيذ الهجوم🎯 يستخدم المهاجم الذكاء الاصطناعي لتقليد صوت شخص تعرفه أو إنشاء رسالة احترافية أو فيديو مزيف (Deepfake)، ثم يطلب منك تحويل أموال أو مشاركة بيانات حساسة. كيفية الوقاية🛡 التحقق من هوية الشخص عبر وسيلة أخرى. عدم

1 Aug 2026, 12:23 UTC≈3,130 viewsread 22 August 2026

الرابع عشر: التصيد عبر انتحال خدمة العملاء (Angler Phishing) يعتمد هذا النوع من التصيد على انتحال حسابات خدمة العملاء الرسمية على وسائل التواصل الاجتماعي لخداع المستخدمين. كيف يتم تنفيذ الهجوم🎯 ينشئ المهاجم حسابًا ينتحل صفة الدعم الفني لإحدى الشركات، ثم يتواصل مع الضحية ويطلب منها بيانات الحساب أو إرسال رموز التحقق بحجة المساعدة. كيفية الوقاية🛡 التواصل مع الحسابات الرسمية الموثقة فقط. عدم مشاركة كلمات المرور أو

31 Jul 2026, 13:42 UTC≈2,960 viewsread 22 August 2026

الثالث عشر: التصيد عبر الاستنساخ (Clone Phishing) يعتمد هذا النوع من التصيد على نسخ رسالة بريد إلكتروني أو رسالة أصلية سبق إرسالها، مع استبدال الرابط أو المرفق بآخر خبيث. كيف يتم تنفيذ الهجوم🎯 يعيد المهاجم إرسال رسالة تبدو أصلية سبق أن استلمها الضحية، لكنها تحتوي على رابط أو ملف خبيث بدلًا من الرابط أو الملف الحقيقي. كيفية الوقاية🛡 التحقق من أي رسالة تطلب إعادة فتح رابط أو تنزيل ملف. مراجعة عنوان المرسل بدقة.

Showing the 11 most recent of 11 posts we hold for @S1ecurity_Pro. 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 — 856,704 of 1,627,445entries 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.

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.

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

“أمن - PRO” (@S1ecurity_Pro), 2,949 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/S1ecurity_Pro.

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.