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Channel

Python и 1000 уязвимостей

@osint_pythons

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

36,627subscribers

-15 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001310194575
TypeChannel
Username@osint_pythons
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 live13 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/osint_pythons

Growth

36,62736,64336,6356 August 2026 — 36,642 subscribers7 August 2026 — 36,643 subscribers9 August 2026 — 36,639 subscribers10 August 2026 — 36,635 subscribers11 August 2026 — 36,631 subscribers12 August 2026 — 36,630 subscribers13 August 2026 — 36,627 subscribers6 August 202613 August 2026
7 measurements spanning 7 days, net -15. 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 36,625–36,645 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 13:0436,627-3
12 Aug 2026, 15:1436,630-1
11 Aug 2026, 12:3736,631-4
10 Aug 2026, 09:4036,635-4
9 Aug 2026, 08:0236,639-4
7 Aug 2026, 10:0036,643+1
6 Aug 2026, 22:3336,642first reading

Engagement

32 posts held, back to 28 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 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.872%
avg views ÷ 36,627 subscribers
Avg views / post
319
32 posts measured
Reaction rate
0.978%
reactions ÷ views · ER floor
Posts in window
32
of 32 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 12 August 2026
Posts held32 (28 July 202612 August 2026)
Views total10,221
Reactions total100
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 09:23 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

Video runtime
6h 31m
Average length
1h 37m

Measured directly from 4 videos 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

100 reactions across 32 posts, in 4 distinct kinds. The most used accounts for 39.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥3939.0%
👍2929.0%
2828.0%
🤔44.00%

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 32 of the 32 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 100reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 28 July 2026 to 12 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

12 Aug 2026, 18:50 UTC148 views2 reactionsread 13 August 2026
Photo

📣 Межсетевой экран Cisco можно выключить одним запросом. В компании говорят: это уже происходит Cisco предупредила о реальных атаках на межсетевые экраны, которые можно удалённо перезагрузить одним специально подготовленным запросом. — Уязвимость затрагивает Cisco Secure Firewall ASA и Secure Firewall Threat Defense при определённых настройках удалённого подключения. Уязвимость получила идентификатор CVE-2026-2034

👍2

12 Aug 2026, 13:10 UTC181 views3 reactionsread 13 August 2026
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📣 Zabbix 7: мониторинг ИТ-инфраструктуры Актуальное руководство по проектированию, развертыванию, настройке и эксплуатации масштабируемых систем мониторинга на базе Zabbix 7 LTS. Исчерпывающий практический справочник, предназначенный для системных администраторов, DevOps-инженеров, SRE-специалистов, сетевых инженеров и инженеров по безопасности (SecOps), желающих освоить возможности нового долгосрочного релиза Zabb

👍2🔥1

11 Aug 2026, 18:50 UTC256 views3 reactionsread 13 August 2026
Video

▶️ ПОЛНЫЙ КУРС МИКРОСЕРВИСЫ На Python꞉ Kafka, RabbitMQ, MongoDB, Nginx, JWT, Деплой Микросервисы – это независимые сервисы, каждый из которых отвечает за свою бизнес-задачу (например, управление пользователями, товарами, заказами). Они взаимодействуют через чётко определённые API, чаще всего RESTful. ⏺Nginx выступает в роли единого входа (API Gateway). ⏺RabbitMQ – подходит для задач, где нужна гибкая маршрутизация

👍2🔥1

11 Aug 2026, 11:45 UTC241 views2 reactionsread 13 August 2026
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📣 Путь Python. Черный пояс по разработке, масштабированию, тестированию и развертыванию Практическое руководство по продвинутой разработке на Python, оптимизации производительности, архитектуре и подготовке приложений к продакшену. Профессиональное пособие для Middle/Senior разработчиков, DevOps-инженеров, архитекторов и ИБ-специалистов (SecDev), создающих кастомный инструментарий и высоконагруженные сервисы на язы

1👍1

10 Aug 2026, 18:10 UTC257 views3 reactionsread 13 August 2026
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⚙️ Огромная коллекция бесплатных книг и ресурсов по программированию Free programming books – это каталог свободно доступных книг, курсов, интерактивных материалов, задачников, подкастов и видеоресурсов для изучения программирования и смежных областей Computer Science. — Особенно полезен репозиторий как единая точка входа для самообразования: вместо поиска отдельных книг по всему интернету здесь можно подобрать лит

👍21

10 Aug 2026, 09:03 UTC259 views3 reactionsread 13 August 2026
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ℹ️ Журналирование ошибок: практическое руководство для Java, Kotlin, JavaScript и Python Журналирование ошибок – это критически важная часть жизненного цикла программного обеспечения. Оно упрощает отладку, позволяет выявлять сбои на ранней стадии и предотвращать их повторение. Однако журналы должны быть не только информативными, но и безопасными. Статья написана на основе опыта наблюдения за ошибками разработчиков

👍21

10 Aug 2026, 07:00 UTC247 views2 reactionsread 13 August 2026
Video

👩‍💻 Всем программистам посвящается! Вот 14 авторских обучающих IT каналов по самым востребованным областям программирования: Выбирай своё направление: 👩‍💻 Python — t.me/python_ready 🤔 InfoSec & Хакинг — t.me/hacking_ready 🖥 SQL & Базы Данных — t.me/sql_ready 👩‍💻 IT Новости — t.me/it_ready 🤖 AI & ML — t.me/neuro_ready 👩‍💻 Frontend — t.me/frontend_ready 👩‍💻 C/C++ — https://t.me/cpp_ready 👩‍💻 C# & Unity — t.

2

9 Aug 2026, 18:52 UTC256 views3 reactionsread 13 August 2026
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🔖 Платформа с коллекцией уязвимых виртуальных машин для практического обучения пентесту и кибербезопасности VulnHub – это бесплатный образовательный портал и архив виртуальных лабораторий, предназначенный для получения практического опыта в области поиска уязвимостей, этичного хакинга и цифровой криминалистики. — Платформа предоставляет готовые к загрузке образцы виртуальных машин (в форматах OVA/VMDK) с локально р

👍2🔥1

9 Aug 2026, 13:26 UTC272 views3 reactionsread 13 August 2026
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📣 Искусство цифровой самозащиты Практическое руководство по обеспечению личной информационной безопасности, защите от кибермошенничества и сохранению конфиденциальности. Прикладное руководство по цифровой гигиене и кибербезопасности, предназначенное для широкого круга пользователей, желающих защитить свои финансы, персональные данные и цифровые устройства от современных атак и сетевых манипуляций. — Книга написана

🔥21

8 Aug 2026, 18:49 UTC297 views5 reactionsread 13 August 2026
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🆕 NOOA от NVIDIA: открытый Python‑фреймворк для разработки ИИ‑агентов Компания NVIDIA выпустила открытый фреймворк NOOA (Object‑Oriented Agents), который призван решить проблему фрагментации в разработке ИИ‑агентов. Платформа объединяет разрозненные элементы инфраструктуры – шаблоны промптов, схемы инструментов, функции обратного вызова (callbacks) и графы рабочих процессов – в единый класс Python. — Проект переда

🔥2🤔21

8 Aug 2026, 12:25 UTC291 views4 reactionsread 13 August 2026
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📣 Киберщит. Искусственный интеллект и кибербезопасность Актуальное практическое руководство по применению искусственного интеллекта и машинного обучения для автоматизации защиты и нейтрализации киберугроз. Современное практическое и методологическое пособие, предназначенное для специалистов по кибербезопасности, аналитиков SOC, дата-сайентистов, руководителей ИБ (CISO) и разработчиков систем защиты информации. Осн

3🔥1

7 Aug 2026, 19:20 UTC320 views6 reactionsread 13 August 2026
Video

▶️ ПОЛНЫЙ КУРС Бэкенд на Python с FastAPI꞉ PosgtreSQL, Docker, HTTP Бэкенд на Python с FastAPI – это современный и высокопроизводительный подход к созданию API для веб-приложений, микросервисов, чат-ботов и интеграции с внешними сервисами. — Фреймворк сочетает асинхронность, строгую типизацию данных и автоматическую генерацию интерактивной документации. 👀 Смотреть на YouTube

🔥32👍1

Showing the 12 most recent of 32 posts we hold for @osint_pythons. 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 — 992,305 of 1,176,251entries 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 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.

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.

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.

Простой Python | Программирование
@python_piton_javascript · 128,426
Telegram ranks this channel #5 of 84 here — alongside 83 others — read 13 August 2026
Этичный Хакер
@hack_less · 227,302
Telegram ranks this channel #71 of 81 here — alongside 80 others — read 12 August 2026

This channel appears in 2 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Python и 1000 уязвимостей” (@osint_pythons), 36,627 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/osint_pythons.

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.