3 measurements spanning 3 days, net +12. 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 4,030–4,058 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 00:27
4,045
-10
9 Aug 2026, 19:51
4,055
+22
9 Aug 2026, 17:01
4,033
first reading
Engagement
18 posts held, back to 24 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
15.3%
avg views ÷ 4,045 subscribers
Avg views / post
620
18 posts measured
Reaction rate
1.94%
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
Window
Rolling 30 days · latest post in window 9 August 2026
Posts held
18 (24 July 2026 – 9 August 2026)
Views total
11,158
Reactions total
217
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 17:01 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
217 reactions across 18 posts, in 13 distinct kinds. The most used accounts for 33.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
73
33.6%
🤣
46
21.2%
😭
23
10.6%
❤
19
8.76%
🔥
14
6.45%
👌
12
5.53%
🕊
8
3.69%
😁
6
2.76%
👏
5
2.30%
🤔
4
1.84%
🍌
3
1.38%
🤯
3
1.38%
👎
1
0.461%
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 217reactions 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 24 July 2026 to 9 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.
#web_security
بچه ها این مقاله رو از Gareth Heyes از دست ندین. کلی نکته جالب داره که نگاه یه محقق امنیتی رو نشون میده.
وقت کنم حتما یک تحلیل ازش مینویسم.
قشنگی ماجرا اینه که همهی این نوع حمله ها از دل باگهای sanitizer در میان و نشون میدن یه شکاف کوچیک بین «چیزی که فیلتر امنیتی فکر میکنه» و «چیزی که مرورگر واقعا اجرا میکنه»، میتونه چقدر خطرناک باشه.
🔸لینک مقاله:
https://portswigger.net/research/css-the-bomb-i…
#maldev
#reverse_engineering
#ransomware
ماکسیم سیلنیکاو، بلاروسی ۴۰ ساله، ۱۶ سال حبس
این یارو خالق و ادمین باجافزار معروف Ransom Cartel بوده. از ۲۰۰۵ توی فورومهای سایبرکرایم روسی زبون فعال بوده و بین ۲۰۱۱ تا ۲۰۱۶ هم عضو سایت مشهور Direct Connection بوده. از می ۲۰۲۱ شروع کرده یه عملیات باجافزاری راه انداخته، از همون فورومها نیرو جذب کرده، و یه سایت مخفی داشته که توش حملات رو کنترل میکردن، با قربانیا چونه می…
با اینکه خدایی یکم خنگه اما درد و بلاش بخوره تو سر GPT و Claude. بهشون میگم این دو خط کد POC فلان آسيب پذیری رو فقط تحلیل کن هزار تا قر میاد که نمیتونم و فلان.
رفتم به Deep seek گفتم، تحلیل که هیچ یه بکدر گذاشت تو کدش بهم داد 😜
یه چی دیگه هم بگم کلا از open router هم اشتراک نخرید که مثل نهنگ توکن میخوره😭
#kernel_debugging
#reverse_eng
#IDA_Pro
#windows_internal
تو این چند روز به یک موضوعی خیلی برخوردم
موقع ریورس کرنل ویندوز در IDA pro زیاد با کد زیر مواجه می شدم 😵💫
*(DWORD*)v12 = *(DWORD*)v12;
ادم اولش فکر میکنه برنامه نویسای ویندوز اسکل مسکولی چیزین 🤨
این کار یک روش ساده است برای چک کردن وضعیت memory
4 بایت از ادرس رو میخونه و بعدش همون 4 بایت رو در همون ادرس مینویسه
در لاجیک متغییر هیچ تغییری نمیکنه اما باعث می…
#red_team
#pentest
#active_directory
Let's Get Physical
در پروژههای Red Team و Pentest، معمولاً تصور اینه که بزرگترین دستاورد، دسترسی کامل به دامنه Active Directory هست (Domain Dominance) و شکست در رسیدن به اون، یعنی شکست در کل عملیات. اما در بسیاری از مواقع، دسترسی به لایههای پایینتر مثل ESXi و حتی سرویسهای حیاتیتر از Active Directory میتونه بسیار خطرناکتر و مخربتر باشه.
در این مقالم، داستان کامل یک سنار…
#maldev
#reverse_engineering
#ReadTeam
Node.js SEA (Single Executable Application)
یه قابلیت جالب از که شاید کمتر بهش توجه شده
قابلیتیه که از Node.js 20 به بعد معرفی شد و بهت اجازه میده کل برنامه Node.js رو همراه با Runtime داخل یک فایل exe بستهبندی کنی. یعنی کاربر برای اجرای برنامه دیگه لازم نیست Node.js نصب داشته باشه. فقط فایل exe رو اجرا میکنه و تمام. این قابلیت برای توسعهدهندهها عالیه، ولی همونطور که هم…
#AI
#Claude_Code
#DeepSeek
#Opencode
بیاین قیمههارو بریزیم تو ماستا و همشم بزنیم 🫕😉
شما اگه بخواین DeepSeek رو به Claude Code اضافه کنید باید حتما API از DeepSeek خریداری کنید و اونو استفاده کنید.
از اونجایی که بنده علاقه ای به خرید API ندارم گفتم خب چه جایی وجود داره که امکان استفاده رایگان DeepSeek رو میده و خودشم API داره ؟؟؟
opencode zen 😁
از AI کمک گرفتم و متوجه شدم Claude code قابلیت استفاده از Opencode API…
#red_team
#reverse_engineering
یه ریسرچ جالب از حمله به بانک های ایران🥶
محقق امنیتی علی امینی (وبلاگش Binary Graveyard) این تحلیل رو منتشر کرده. کاملاً مستقل و بهصورت black-box کار کرده، یعنی نه به سرورهای واقعی بانکها دسترسی داشته نه اطلاعات داخلی از شبکه یا زیرساخت اون بانکها، فقط یه سمپل از بدافزار به دستش رسیده و اون رو ریورس کرده. خودش هم گفته ممکنه بعضی برداشتهاش دقیق صد در صد نباشه چون این یه بازسازی رف…
#python
#programming
یک تلاش جدید برای اجرای پایتون با سرعت Native
یه پروژه جالبی به اسم PON رو دیدم که یک Runtime و Compiler برای Python 3.14 است که کاملاً با Rust نوشته شده و برخلاف CPython، هیچ Bytecode یا Interpreter ای نداره.
روند اجرای کد به این شکل که:
Python → Parser → IR → Native Machine Code
پس مفسری (Interpreter) مثل CPython نیست که Bytecode رو خط به خط اجرا کنه و
✅ یک Compiler ی که کد پایتون را به…
👌4👍2
Showing the 12 most recent of 18 posts we hold for @br34k_p01nt. 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 — 86,820 of 1,480,688entries 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 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
“BREAK POiNT” (@br34k_p01nt), 4,045 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/br34k_p01nt.
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.