Telegram RegisterThe public register of Telegram
Telegram profile photo for Muhammad Alush

Channel

Muhammad Alush

@MuhammadAlush0997

On this record: Topic · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

23,665subscribers

-1,511 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001799062880
TypeChannel
Username@MuhammadAlush0997
Description‏في عالم مليء بالثغرات…مهمتي أكون خط الدفاع الأول 🔐 مهندس برمجيات & أمن سيبراني، مؤسس موقع نسور التقنية حسابي على منصة إكس: https://x.com/MhamadAlush0997
CreatedBetween 1 January 2022 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/MuhammadAlush0997

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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 the other topics.

Channels linked by matching posts

This channel is in a group of 7 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

23,66525,17624,420.56 August 202610 November 2026
63 measurements spanning 96 days, net -1,511. 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 23,438–25,403 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
10 Nov 2026, 17:5923,665-28
9 Nov 2026, 01:3123,693-18
7 Nov 2026, 16:0823,711-21
6 Nov 2026, 13:2923,732-12
5 Nov 2026, 16:2623,744-8
4 Nov 2026, 19:4623,752-13
3 Nov 2026, 22:5623,765-7
3 Nov 2026, 00:5823,772-28
1 Nov 2026, 22:3023,800-18
31 Oct 2026, 21:0623,818-16
30 Oct 2026, 21:5523,834-20
30 Oct 2026, 00:3523,854-17
28 Oct 2026, 22:1023,871-9
27 Oct 2026, 18:3923,880-10
26 Oct 2026, 20:5623,890-5
25 Oct 2026, 21:0623,895-11
24 Oct 2026, 20:5023,906-22
23 Oct 2026, 22:5723,928-16
22 Oct 2026, 22:1723,944-9
21 Oct 2026, 19:1123,953first reading

Engagement

104 posts held, back to 15 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 122 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.76%
avg views ÷ 23,665 subscribers
Avg views / post
652
21 posts measured
Reaction rate
0.186%
reactions ÷ views · ER floor
Posts in window
21
of 104 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 13 of 21 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 November 2026
Posts held104 (15 July 2026 – 7 November 2026)
Views total13,701
Reactions total18
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 23:46 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
≈906
Videos
≈34
Links
≈1,020

Lifetime counters from Telegram’s own channel header, read 10 November 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

57 reactions across 39 posts, in 7 distinct kinds. The most used accounts for 77.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4477.2%
🤣47.02%
👍35.26%
👏23.51%
🔥23.51%
🙊11.75%
🥰11.75%

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 104 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 57 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 104 most recent posts we hold, published 15 July 2026 to 7 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 21 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 14:29 UTC264 viewsread 10 November 2026
Forwarded from @PYTHON_PT1Photo

دوال التعامل مع النصوص في لغة بايثون. Strings python النصوص ( #Strings ) هي عبارة عن مجموعة من المهام التي تتعامل مع #النصوص, مثلاً لدينا #بيانات_نصية نريد التعامل معها و التحكم بها سواء بالشكل او الصيغة فيلزم أن نستخدم هذه الطرق. لقراءة الدرس #السابع من خلال الرابط الآتي : https://www.nusurtech.ca/2024/01/python-strings.html

6 Nov 2026, 20:41 UTC457 views2 reactionsread 10 November 2026
Photo

المفاهيم الأساسية للويب معاني الرموز التي نكتبها دائما في بداية روابط الإنترنت مثل https ://www؟ إليك التفصيل المبسط والكلمات الإنجليزية التي جاءت منها: بالنسبة للجزء الأول https: - حرف h يعني: فائق من كلمة Hyper - حرف t يعني: نص من كلمة Text - حرف t يعني: نقل من كلمة Transfer - حرف p يعني: بروتوكول من كلمة Protocol - حرف s يعني: آمن من كلمة Secure ثم يأتي الرمز :// والذي يعمل كـ: فاصل أو Separator. أما الجزء الثاني…

👏2

5 Nov 2026, 10:00 UTC405 viewsread 10 November 2026
Forwarded from @PYTHON_PT1Photo

الحلقات التكرارية في لغة بايثون. Loops in python حلقات التكرار ( #loops ) تُستخدَم #الحلقات_التكرارية في البرمجة عامة لعدم #تكرار كود برمجي أو أي شي نريده عدة مرات. واكتشف كيفية استخدام for وwhile وrange()، مع شرح break وcontinue والحلقات المتداخلة، وأمثلة وتطبيقات عملية وتمارين للمبتدئين. لقراءة الدرس #السادس من خلال الرابط الآتي : https://www.nusurtech.ca/2024/01/python-loops.html

4 Nov 2026, 18:16 UTC396 viewsread 10 November 2026
Forwarded from @PYTHON_PT1Photo

الجمل الشرطية في بايثون conditions in python #الشروط ( #conditions ) تُعتبر من أهم العناصر التي يجب توفرها في أي لغة برمجه, تعني انه نحن من نحدد القرار للبرنامج لأجل التحكم به. اكتشف كيفية استخدام if وelif وelse والشروط المتداخلة والعوامل المنطقية، مع أمثلة عملية وتمارين مبسطة للمبتدئين. لقراءة الدرس #الخامس من خلال الرابط الآتي : https://www.nusurtech.ca/2024/01/python-conditions.html

2 Nov 2026, 09:10 UTC486 viewsread 10 November 2026
Forwarded from @PYTHON_PT1Photo

المدخلات input في لغة بايثون input in python تعلم كيفية #إدخال_البيانات من #المستخدم في لغة #بايثون #Python باستخدام الدالة #input()، مع شرح تحويل أنواع البيانات واستخدام split() وstrip() و #معالجة_الأخطاء، بالإضافة إلى أمثلة عملية وتمارين بسيطة للمبتدئين. لقراءة الدرس #الرابع من خلال الرابط الآتي : https://www.nusurtech.ca/2024/01/python-input.html

1 Nov 2026, 20:35 UTC468 viewsread 10 November 2026
Forwarded from @PYTHON_PT1Photo

العوامل في لغة بايثون Arithmetic Operators in python اكتشف أنواعها المختلفة مثل #العوامل_الحسابية #Operators هي عبارة عن رموز تُستخدَم في #العمليات_الحسابية مثل #الجمع و #الطرح و #القسمة و #العمليات_المنطقية التي تجري على المُتغيرات مع شرح مبسط وأمثلة عملية للمبتدئين. لقراءة الدرس #الثالث من خلال الرابط الآتي : https://www.nusurtech.ca/2024/01/python-operators.html

30 Oct 2026, 18:20 UTC537 viewsread 10 November 2026
Forwarded from @PYTHON_PT1Photo

#المتغيرات في لغة بايثون variables in python المُتغيرات #variables تعتبر مثل صندوق يحتفظ به البيانات ويتم تحديد إسم لهذا الصندوق و نقوم بإستدعاءه متى أردنا بهذا الإسم الذي وضعناه له. لقراءة الدرس #الثاني من خلال الرابط الآتي : https://www.nusurtech.ca/2024/01/python-variables.html

30 Oct 2026, 11:24 UTC716 viewsread 10 November 2026
Photo

في معلومات متداولة عن هجوم كبير على منصة Binance والاشتباه انه Lazarus Group الكورية الشمالية ممكن تكون وراء الأختراق يلي صار هاي المجموعة مش جديدة على سرقة العملات وسبق وانربط اسمها بعدة عمليات سرقة ضخمة 📱 t.me/MuhammadAlush0997

27 Oct 2026, 06:32 UTC748 viewsread 10 November 2026
Forwarded from @PYTHON_PT1Photo

مقدمة في لغة بايثون و تجهيز بيئة العمل. Python Overview تعلم لغة #بايثون #Python من الصفر، وتعرّف على مميزاتها واستخداماتها، وطريقة تحميل و #تثبيت_بايثون وتجهيز بيئة العمل باستخدام VS Code، مع شرح تشغيل أول برنامج للمبتدئين خطوة بخطوة. لقراءة الدرس #الاول من خلال الرابط الآتي : https://www.nusurtech.ca/2024/01/python-overview.html

25 Oct 2026, 07:07 UTC823 views2 reactionsread 10 November 2026
Forwarded from @NusurTechPhoto

أشهر المنافذ والبروتوكولات في الشبكات Common Network Ports & Protocols تُعدّ #شبكات_الحاسوب من أهم #التقنيات التي تقوم عليها البنية التحتية الرقمية الحديثة، إذ تتيح للأجهزة و #الخوادم و #التطبيقات تبادل البيانات والمعلومات عبر #الشبكات المحلية والعالمية، بما في ذلك #شبكة_الإنترنت. وتعتمد عملية #الاتصال بين هذه الأجهزة على مجموعة من القواعد والمعايير التي تُعرف بالبروتوكولات، إلى جانب المنافذ الشبكية التي تساعد على ت…

❤1👍1

24 Oct 2026, 19:22 UTC702 views1 reactionsread 10 November 2026
Forwarded from @NusurTechPhoto

دليل إعداد وتقسيم الشبكات المتقدمة Subnetting & VLANs للمبتدئين subnetting vlans guide for beginners تعرّف على أساسيات #Subnetting و #VLANs للمبتدئين، مع شرح حساب #الشبكات_الفرعية وإعداد #VLAN على #Cisco وضبط #Trunk والتوجيه بين #الشبكات خطوة بخطوة. لقراءة المقال من خلال الرابط الآتي : https://www.nusurtech.ca/2026/10/subnetting-vlans-guide-for-beginners.html

👍1

23 Oct 2026, 13:16 UTC748 views1 reactionsread 10 November 2026
Forwarded from @NusurTechPhoto

شرح بروتوكول OSPF وكيفية ضبطه على أجهزة سيسكو Cisco ospf configuration cisco step by step تعرّف على #بروتوكول #OSPF وطريقة ضبطه على أجهزة #Cisco خطوة بخطوة، مع شرح #WildcardMask ومناطق OSPF وأوامر التحقق وحل المشكلات. لقراءة المقال من خلال الرابط الآتي : https://www.nusurtech.ca/2026/10/ospf-configuration-cisco-step-by-step.html

❤1

Showing the 12 most recent of 104 posts we hold for @MuhammadAlush0997. 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

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 15 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.

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.

قناة | نسور التقنية
@NusurTech · 10,309
#1
The World of Network🇵🇸
@Network_Cybeer · 19,194
#2
CyberCSOC
@cyberCSOC · 11,655
#3
iT Certificates
@it_certificate · 6,417
#4
R3X
@m_r_o_o2 · 12,592
#5
Yhya Nesb
@YhyaNesb · 618
#6
ساحر الكريبتو | توصيات فيوتشر - سبوت
@Crypto_p4p · 16,554
#7
فهرس |Shadow index
@IndexShow · 5,834
#8
Shadow Garden | CYS
@Shadows_Garden · 2,372
#9
🛡️ مكتبة الأمن السيبراني
@CyberLibrary0_0 · 9,480
#10
Courses Udemy For Free !
@Courses_Udemy_Free1 · 13,181
#11
جميل حسين طويله
@cyber_fu · 7,009
#12
yemen osint
@yemenosint · 3,435
#13
Fadi Al-Aswadi
@faswadi · 8,350
#14
️Cyber Security Sharks️
@CyberSecurityforall24 · 35,146
#15
المنصة الإبداعية التعليمية ( دورات و كورسات )
@Ecp_0 · 7,307
#16
عالم الأمن السيبراني
@cibersecurityyyy · 16,543
#17
حقائق الرافضة المجوسية.
@Salafalamah · 1,369 (as read 20 September 2026)
#18
عالم البرمجه🧑‍💻👨‍💻
@pa4best · 23,629
#19
Zero Security
@ZeroSecur1ty · 5,176
#20
Source Tech | منبع التكنولوجيا
@sourcetech100 · 1,620
#21
قنّاس|قناة الأمن السيبراني
@Cybersecurity_Qannas · 8,182
#22
Tools cyber
@hack_arbic · 3,316
#23
الأمن السيبراني وتقنية المعلومات
@mastarropot · 17,517
#24
Termux CS
@Termux_CS · 4,190
#25
دولة الردة
@Exiistential_Philosophy · 2,406
#26
Linux Arabs | لينكس
@Linux_Arabss · 25,484
#27
The World of Courses
@w_of_Courses · 13,589
#28
Cyber security & Network 4
@recoveredchannel · 2,219
#29
توثيق الحالات الانسانية سما منبج
@samamanbij_doc · 391 (as read 20 September 2026)
#30
Cyber Security - الامن السيبراني
@SparkSecurity · 10,659
#31
Cyber Security Sharks 2
@cybersecurityforall77 · 29,582
#32
harmash.com
@harmashcom · 16,187
#33
OneCube
@OneCubeDev · 16,330
#34
Hacker News
@HackerNewsAR · 13,682
#35
لغات البرمجة <\>
@soft_php_html_f · 18,431
#36
معسكر الأمن السحابي || Cloud Security BootCamp||CCSB
@CCSB_0 · 6,314
#37
فريق الامن السيبراني العراقي
@iqcys0 · 20,182
#38
Networkat
@Networkat20 · 31,806
#39
تعلم لغة PYTHON ©️
@PYTHON_PT1 · 18,016
#40
CyberBank
@CyberBankSa · 10,353
#41
🛡📚Cyber X Book 📚🛡
@CyberXBook · 17,003
#42
NusurFile
@NusurFile · 4,828
#43
Hidden Lock | Defense
@HBLock0 · 12,804
#44

Read from Telegram’s recommendation API, most recently 20 September 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.

Oussamadcsi _ برمجة و تطوير الذات
@codingbasics · 21,656
Telegram ranks this channel #1 of 59 here — alongside 58 others — read 21 September 2026
Aqua web | أكوا ويب
@aqweeb · 22,379
Telegram ranks this channel #10 of 58 here — alongside 57 others — read 20 September 2026
تعلم الإنجليزية مع إبرهيم عادل Zamerican English free
@Course_reserve · 22,608
Telegram ranks this channel #11 of 55 here — alongside 54 others — read 21 September 2026
كتب - ملفات مهمة - كورسات
@xmoom · 27,803
Telegram ranks this channel #15 of 47 here — alongside 46 others — read 23 September 2026

This channel appears in 4 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Muhammad Alush” (@MuhammadAlush0997), 23,665 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/MuhammadAlush0997.

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.