Telegram RegisterThe public register of Telegram

Channel

Bug Bounty Hub

@bugbountyhubAr

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

2,662subscribers

+264 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002150480931
TypeChannel
Username@bugbountyhubAr
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/bugbountyhubAr

Growth

2,3982,6622,5306 August 2026 — 2,398 subscribers6 August 2026 — 2,398 subscribers7 August 2026 — 2,482 subscribers9 August 2026 — 2,590 subscribers13 August 2026 — 2,662 subscribers6 August 202613 August 2026
5 measurements spanning 6 days, net +264. 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 2,358–2,702 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 00:132,662+72
9 Aug 2026, 22:112,590+108
7 Aug 2026, 08:472,482+84
6 Aug 2026, 18:152,398no change
6 Aug 2026, 18:042,398first reading

Engagement

18 posts held, back to 25 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.8%
avg views ÷ 2,662 subscribers
Avg views / post
633
18 posts measured
Reaction rate
3.76%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 6 August 2026
Posts held18 (25 July 20266 August 2026)
Views total11,385
Reactions total428
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:28 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.

Reaction mix

428 reactions across 18 posts, in 13 distinct kinds. The most used accounts for 49.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥21049.1%
🔥8519.9%
419.58%
🏆204.67%
184.21%
👾163.74%
💯122.80%
👌102.34%
🥰102.34%
💘30.701%
🎉10.234%
💔10.234%
😢10.234%

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 18 of the 18 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 428reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 25 July 2026 to 6 August 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

6 Aug 2026, 16:28 UTC457 views31 reactionsread 7 August 2026

شكرا مجددا على الدعم ومرحبا بالأصدقاء الجدد 🙂😍

❤‍🔥203🔥32🥰2🏆1

6 Aug 2026, 08:55 UTC786 views25 reactionsread 7 August 2026
Photo

🙂 من أين أُحضر العلم؟ أنا من الأشخاص الغير الأكاديميين تماما، ولا أعتمد على جامعة أو أي دورة للحصول على العلوم. الجامعة نفسها لا تصنع علما خاص بها، ولا توجد أي أكاديمية في العالم تصنع علما جديدا من الصفر. العلم يعتبر تراكمي بالانجليزية Cumulative، ويعتمد على الترابط بين العلوم الأخرى. فمثلا، لم يكن لمجال التقنية أن يوجد لولا اكتشاف الرياضيات قبل آلاف السنين. 🙂 إذا أردت أن تصبح باحثًا، فهذه أنواع المصادر التي ستساعد

🔥124🏆3❤‍🔥2👌1💔1🥰1😢1

5 Aug 2026, 21:03 UTC631 views34 reactionsread 7 August 2026
Photo

الحمد لله الذي بنعمته تتم الصالحات - تم اثبات استغلال ال 0Day في مواقع حقيقية و اثبات الضرر لأكثر من 500ألف موقع الكتروني 🙂🙂

❤‍🔥12🏆9🔥5👾322🥰1

5 Aug 2026, 20:34 UTC609 views18 reactionsread 7 August 2026
Photo

🙂 دعونا نتعرف على أفضل 5 أدوات يعتمد عليها محترفو Bug Bounty في اكتشاف الثغرات: Burp Suite الأداة الأساسية لتحليل واختبار تطبيقات الويب. Nuclei لفحص الثغرات المعروفة باستخدام Templates Feroxbuster من أسرع أدوات اكتشاف الملفات والمجلدات. httpx لفحص المواقع الحية وجمع المعلومات التقنية بسرعة. Naabu أداة سريعة لاكتشاف المنافذ المفتوحة أثناء مرحلة الـ Recon. 🙂 هذه الأدوات تشكل أساسا قويا لأي Bug Bounty Hunter، واست

❤‍🔥12👾3💯21

5 Aug 2026, 09:41 UTC466 views19 reactionsread 7 August 2026
Forwarded from @rednexus1Photo

في مغالطة كبيرة موجودة حاليا اني علشان اذكي واحد فانا هشتغل الاول وهاخد اعلي مرتب علشان الباقي كلهم مبيفهموش يسعدني اقولك ذكائك ده مش هيفيدك في حياتك بدون مجهود المجهود هو المعيار الاول في النجاح والوصول للهدف - علشان كده دايما بنقول الاجتهاد في عدد ساعات الشغل والتدريب والمذاكرة اهم حاجه ثانيا في نقطه صعبه حاليا هي الخوف من الاستثمار في الذات - اخرج خروجه مع صحابي اصرف فيها اكتر من اللي كنت ممكن اصرفه علي اشتراك hac

❤‍🔥9🔥322🏆1👌1🥰1

4 Aug 2026, 02:41 UTC584 views22 reactionsread 7 August 2026
Photo

االحمد لله الذي بنعمته تتم الصالحات 🙂 🖤💜💚💛🩵💙❤️‍🔥

🔥10❤‍🔥42🏆21👾1💘1💯1

3 Aug 2026, 09:58 UTC619 views17 reactionsread 7 August 2026
Photo

Photo, posted without a caption

🔥103❤‍🔥3💘1

3 Aug 2026, 09:58 UTC612 views22 reactionsread 7 August 2026
Photo

عندما تفحص مشروع و كان عندك Task البحث عن بيانات حساسة لاتفترض دائما انها ستكون مكتوبة بشكل واضح داخل الملفات, في كثير من الاحيان تكون مرمزة باستخدام Base64 أو غيرها من طرق الترميز. وقد تكون مُقسمة إلى عدة أجزاء ثم يتم دمجها أثناء تشغيل التطبيق. كذلك، لا تفترض أن البيانات الحساسة ستكون موجودة داخل الملف الذي تفحصه، فقد يتم جلبها من ملف أو Endpoint آخر، أو تُحمَّل ديناميكيا عبر طلبات API. وحتى الرابط الذي تُجلب منه ق

❤‍🔥11🔥52👾21💘1

2 Aug 2026, 05:41 UTC614 views13 reactionsread 7 August 2026
Photo

معلومة على السريع: > القفير تعني خلية النحل

❤‍🔥10👌3

2 Aug 2026, 05:36 UTC548 views21 reactionsread 7 August 2026

Posted without readable text

❤‍🔥10🔥5💯3🥰21

1 Aug 2026, 12:37 UTC451 views15 reactionsread 7 August 2026
Forwarded from @Professor_Technology

أسعد الله أوقاتكم بكل خير 🌹 🙂 يسرنا الإعلان عن إطلاق قناة AI Brief، المتخصصة في تغطية أحدث أخبار التقنية والذكاء الاصطناعي 🙂 🔥 ماذا ستجد في القناة؟ • أحدث تطورات الذكاء الاصطناعي. • أبرز أخبار التقنية العالمية. • تغطية للاختراقات والحوادث الأمنية التقنية. • أهم الإصدارات والإعلانات من كبرى الشركات. • رصد للاتجاهات والتقنيات الناشئة، أولاً بأول. 🔗 رابط القناة: t.me/AIxBrief ❤️ نتشرف بانضمامكم ودعمكم، ونسعد بوجودكم

❤‍🔥9🔥42

29 Jul 2026, 18:57 UTC754 views16 reactionsread 7 August 2026
Photo

يُعد OWASP أحد أهم المشاريع العالمية في مجال أمن تطبيقات الويب، حيث يوفر إطارا ومنهجية عملية لاختبار التطبيقات الأمنية. يهدف إلى مساعدة المطورين، والباحثين الأمنيين، وفرق الاختبار على فهم ماذا يختبرون، ولماذا، ومتى، وأين، وكيف يتم إجراء الاختبارات الأمنية. كما يشجع على دمج الاختبارات الأمنية ضمن دورة حياة تطوير البرمجيات (SDLC)، مما يساعد المؤسسات على بناء تطبيقات أكثر أمانا وموثوقية، بدلا من الاعتماد فقط على اختبارا

❤‍🔥103🔥3

Showing the 12 most recent of 18 posts we hold for @bugbountyhubAr. 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 — 28,596 of 1,151,006entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 6 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.

Names

Channels on the register whose handles appear in this channel's posts.

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.

“Bug Bounty Hub” (@bugbountyhubAr), 2,662 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/bugbountyhubAr.

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.