Telegram RegisterThe public register of Telegram

Channel

[YT] UnderMind

@under_public

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

17,701subscribers

-34 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-1001309285353
TypeChannel
Username@under_public
DescriptionНе взлом, а проверка на защищённость. 🍻 Чат - @UnderChats 🖥 Все наши каналы - @under_channels0x41 👉 Реклама - @under0x41_reklama
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/under_public

Topic

Hacking & security — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 88% 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 why it has no browse page of its own yet.

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.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (3 of the pairs behind the counts below)
Posted firstThenOverlapGap
@under_public/2224 · this entry18 Jul 2025, 07:50 UTC@termuxplz0x41/212211 Aug 2025, 11:37 UTC1.0024 days
@termuxplz0x41/21331 Sept 2025, 04:47 UTC@under_public/2245 · this entry22 Sept 2025, 13:35 UTC1.0021 days
@termuxplz0x41/213622 Sept 2025, 13:34 UTC@under_public/2249 · this entry9 Oct 2025, 09:01 UTC1.0017 days
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@termuxplz0x415 (5/5 hand-verifiable sample passed)1.0017 days@termuxplz0x41 (32)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 15 May 2025 to 4 November 2025. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @under_public — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 7 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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

17,70117,73517,7186 August 2026 — 17,735 subscribers7 August 2026 — 17,732 subscribers8 August 2026 — 17,724 subscribers9 August 2026 — 17,716 subscribers10 August 2026 — 17,711 subscribers11 August 2026 — 17,703 subscribers12 August 2026 — 17,701 subscribers6 August 202612 August 2026
7 measurements spanning 6 days, net -34. 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 17,696–17,740 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:4317,701-2
11 Aug 2026, 02:3317,703-8
10 Aug 2026, 01:2117,711-5
9 Aug 2026, 02:5117,716-8
8 Aug 2026, 04:2617,724-8
7 Aug 2026, 02:2417,732-3
6 Aug 2026, 17:4517,735first reading

Engagement

18 posts held, back to 15 May 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 4 November 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
779
Videos
23
Links
858

Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
15s
Average length
15s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

517 reactions across 18 posts, in 23 distinct kinds. The most used accounts for 32.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
16632.1%
👍13325.7%
🫡499.48%
👎336.38%
😁265.03%
❤‍🔥234.45%
🔥193.68%
🤔173.29%
🤣81.55%
😭71.35%
😎61.16%
🍌40.774%
🤡40.774%
🥰40.774%
🌭30.58%
💩30.58%
🤮30.58%
🤯30.58%
20.387%
🎉10.193%
3 further kinds30.58%

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 517reactions 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 15 May 2025 to 4 November 2025, 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

4 Nov 2025, 12:34 UTC≈11,700 views93 reactionsread 13 August 2026
Forwarded from @termuxplz0x41Photo

Mailcat: проверка существования email-адресов Mailcat — это инструмент для быстрой проверки, существует ли email у заданного имени пользователя. Работает с 170+ доменами через SMTP и API, подходит для анализа утечек. Установка: git clone https://github.com/sharsil/mailcat.git cd mailcat pip3 install -r requirements.txt Использование: Проверка по нику: ./mailcat.py username Работа через Tor: ./mailcat.py --tor user

🫡4820👍11😁6❤‍🔥3🍌2🤔2👎1

9 Oct 2025, 09:01 UTC≈12,500 views19 reactionsread 13 August 2026
Photo

React Dump Tool: извлечение скрытых дαнных из React Инструмент для получения JSON-дαнных из внутренних props и state React-приложений через reactProps$... и reactFiber$.... Установка: git clone https://github.com/janhalendk/react.git cd react npm install # или yarn install Использование: Открой React-сайт в браузере. В DevTools выбери элемент ($0) и найди ключи reactProps$... или reactFiber$.... Через них можн

10👍4🤣4🖕1

27 Sept 2025, 04:58 UTC≈11,800 views20 reactionsread 13 August 2026
Photo

PDFRip: вытаскивает текст и картинки из PDF PDFRip — это утилита на Python, которая помогает быстро извлечь текст и изображения из PDF-документов. Работает через командную строку. Удобна, если надо разобрать большой файл на составляющие. Установка: git clone https://github.com/mufeedvh/pdfrip cd pdfrip pip install -r requirements.txt python3 rip.py yourfile.pdf Использование: Запускаешь с файлом PDF — получаешь в

🤔116👎2👍1

22 Sept 2025, 13:35 UTC≈11,000 views16 reactionsread 13 August 2026
Photo

Findsploit: Утилита для поиска эксплойтов Findsploit — это мощная утилита, созданная для автоматического поиска эксплойтов и PoC (Proof of Concept) кода для уязвимостей. Она интегрирована с платформами Exploit-DB, Metasploit и многими другими источниками. Findsploit значительно упрощает работу специалистов по кибербезопасности, позволяя быстро находить нужные эксплойты по ключевым словам. Установка: 1. Клонируйте

9👍3🤔3🫡1

11 Sept 2025, 14:18 UTC≈10,200 views32 reactionsread 13 August 2026
Photo

Имба для тех, кто пишет на вайбе — свежий ИИ-визуализатор кода: • Загружаешь код → получаешь наглядные схемы функций, переменных и зависимостей • Встроенный чат объяснит весь функционал и алгоритмы простым языком • Самая мощная фича — автогенерация промптов для ChatGPT, Claude и Cursor, чтобы давать ИИ полный контекст или править точечно Сохраняем и пробуем — вот тут.

😁16👍76👎2🤔1

31 Aug 2025, 17:17 UTC≈10,800 views46 reactionsread 13 August 2026
Photo

​​ Как вычислить скрытую Wi-Fi сеть Даже если сеть не отображается в списке доступных — она всё равно "кричит" в эфир. Запускаем мониторинг Wi-Fi: sudo airmon-ng start wlan0 Ищем скрытые сети: –sudo airodump-ng wlan0mon –Сеть без имени (ESSID пустой) = скрытая. Но ты всё равно увидишь: –BSSID (MAC-адрес точки) –канал –уровень сигнала Ждём подключения устройства: Когда кто-то подключится — airodump покажет ESSID.

👍2311😭4👎3🤡3❤‍🔥1💘1

25 Aug 2025, 19:41 UTC≈9,530 views11 reactionsread 13 August 2026
Photo

DocuWriter.ai - инструмент документации кода AI, который автоматически генерирует высококачественную документацию по коду, документацию API, комментарии к коду, диаграммы UML и тестовые наборы непосредственно из файлов исходного кода Это решение для экономии времени использует ИИ для глубокого понимания вашей кодовой базы и создания последовательной, актуальной документации всего за несколько кликов, что экономит ра

7😭31

21 Aug 2025, 05:28 UTC≈9,470 views19 reactionsread 13 August 2026
Photo

Dirsearch: Быстрый и Мощный Инструмент для Поиска Директорий Dirsearch — это многофункциональный инструмент для перебора директорий веб-серверов. Написанный на Python, он поддерживает многопоточность, кастомизацию запросов и работу с различными словарями. Установка: 1. Убедитесь, что установлен Python 3: sudo apt install python3 2. Клонируйте репозиторий: git clone https://github.com/maurosoria/dirsearch.git cd dir

🔥97👍3

13 Aug 2025, 04:40 UTC≈9,190 views24 reactionsread 13 August 2026
Photo

​​ Dakdump: поиск в даркнете через командную строку darkdump – авторский инструмент для быстрого поиска информации в тёмном интернете. Работает через Tor и выдаёт результаты onion-сайтов прямо в терминале. Удобен для мониторинга утечек и проверки скрытых ресурсов без использования браузера. Установка: git clone https://github.com/josh0xA/darkdump cd darkdump pip install -r requirements.txt Использование: python3 d

17🤣4🍌2👍1

11 Aug 2025, 11:38 UTC≈8,360 views14 reactionsread 13 August 2026
Photo

PDFRip: вытаскивает текст и картинки из PDF PDFRip — это утилита на Python, которая помогает быстро извлечь текст и изображения из PDF-документов. Работает через командную строку. Удобна, если надо разобрать большой файл на составляющие. Установка: git clone https://github.com/mufeedvh/pdfrip cd pdfrip pip install -r requirements.txt python3 rip.py yourfile.pdf Использование: Запускаешь с файлом PDF — получаешь в

❤‍🔥3🌭32👍2🔥2👏1🥰1

1 Aug 2025, 13:29 UTC≈8,500 views22 reactionsread 13 August 2026
Forwarded from @termuxplz0x41Photo

Bandit: сканер уязвим0стей в Python-коде Bandit — это инструмент для поиска потенциально опасных конструкций в Python-скриптах. Полезен при анализе чужого кода, написании безопасных скриптов и перед деплоем проектов. Установка: pip install bandit или из репозитория: git clone https://github.com/PyCQA/bandit cd bandit pip install -r requirements.txt python setup.py install Использование: Проверка одного файла: ban

12😎6👍2🥰2

19 Jul 2025, 09:26 UTC≈41,600 views43 reactionsread 13 August 2026
Photo

Как найти уязвимые IoT-устройства в сети за 1 минуту Камеры, принтеры, роутеры — часто работают без пароля или с заводскими логинами. Их легко обнаружить в локальной сети. 1. Запускаем скан всей подсети: nmap -sP 192.168.0.0/24 Получаешь список всех устройств. 2. Сканим открытые порты: nmap -sV -Pn 192.168.0.1-254 Особенно интересны: 23 (telnet) 80, 8080 (веб-интерфейс) 554 (RTSP — камеры) 3. Идём по браузеру: В

👍2411😁4❤‍🔥21🎉1

Showing the 12 most recent of 18 posts we hold for @under_public. 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 — 23,648 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 3 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“[YT] UnderMind” (@under_public), 17,701 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/under_public.

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.