black bird один из самых сильных OSINT инструментов на базе python имеет в себе поиск по никнейму и почтам. Ссылка на инструмент https://github.com/p1ngul1n0/blackbird

Channel
OSINT_PANTS
@chexilinfo
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
770subscribers
-12 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002385388735 |
|---|---|
| Type | Channel |
| Username | @chexilinfo |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/chexilinfo |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 11:03 | 770 | -5 |
| 23 Aug 2026, 03:46 | 775 | -5 |
| 15 Aug 2026, 01:15 | 780 | -2 |
| 8 Aug 2026, 01:47 | 782 | no change |
| 7 Aug 2026, 14:39 | 782 | first reading |
Engagement
18 posts held, back to 14 February 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 page of 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 May 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 41m 01s
- Average length
- 13m 40s
Measured directly from 3 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
6 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 66.7% | |
| 🥰 | 2 | 33.3% |
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 2 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 6 reactions 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 14 February 2026 to 4 May 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
Обучение осинту.
❤4
👁🔍 пrобиvаем чеlовек@ по одн0му fото Eye of web — локальный OSINT-поисковик с точнейшим распознаванием лиц 🟢 Внутри — очень шустрая нейронка InsightFace. Она сканирует черты лица с фото и сравнивает с тысячами изображений в сети 🟢 Источники поиска можно задать вручную: сайты, форумы, соцсети, тематические портали и другие ресурсы 🟢 Также можно добавить поиск по метаданным фоток, что делает пробив еще точнее. 🟢 Серв…
🥰2
Методы анонимизации в интернете (На всякий случай открывать в песочнице)
🖥 Репозиторий: Automater — инструмент анализа URL/доменов, IP-адресов и MD5-хэшей Automater — это инструмент разведки на основе открытых источников (OSINT) для анализа URL/доменов, IP-адресов и MD5-хэшей. Его задача — упростить процесс анализа вторжения. — Передав программе цель (URL, IP или HASH) или файл с целями, Automater обработает и вернёт результаты по надёжным источникам. ⏺ Официальный сайт #OSINT #Reco
⚙️ Инструмент для автоматизированного поиска целей и разведки HappyHunter – это утилита/фреймворк для автоматизации задач разведки и поиска потенциально интересных целей (OSINT/recon), предназначенная для сбора информации о хостах, сервисах и публично доступных данных перед дальнейшим анализом. — Обычно такие проекты включают модульный сканер/краулер с набором плагинов, поддержку параллельных запросов и прокси, экс…
Video, posted without a caption
Video, posted without a caption
Video, posted without a caption
🔍 DarkInt (Dark Intelligence) — разведка по скрытым/криминальным источникам 📌 ЧТО ЭТО? Аналог OSINT, но для теневого интернета. Сбор данных из: • Даркнета (Tor, I2P, .onion-сайты) • Криминальных форумов и чатов • Закрытых Telegram-каналов • Теневых маркетплейсов • Сливов украденных данных • Взломанных серверов 🛠 МЕТОДЫ СБОРА: 1. Спецкраулинг даркнет-сайтов 2. Мониторинг рынков (карты, логи, базы) 3. Инфильтрация в …
🛡 CybInt (Cyber Intelligence) — киберразведка для защиты инфраструктуры 📌 ЧТО ЭТО? Синтез OSINT, SIGINT и HUMINT для: • Прогнозирования кибератак • Анализа тактик хакерских групп • Защиты критической инфраструктуры • Расследования инцидентов 🔍 КЛЮЧЕВЫЕ НАПРАВЛЕНИЯ: 1. Threat Intelligence (анализ угроз) 2. Vulnerability Intelligence (поиск уязвимостей) 3. Incident Response (расследование атак) 4. Counterintelligence…
🤖 ArtInt (Artificial Intelligence Intelligence) — разведка об ИИ-системах 📌 ЧТО ЭТО? Сбор и анализ данных об искусственном интеллекте: • Архитектура ИИ-моделей конкурентов • Тренировочные данные и источники • Паттерны поведения ИИ в бою • Уязвимости нейросетей (adversarial attacks) • Этические риски и bias 🔍 КЛЮЧЕВЫЕ ЗАДАЧИ: 1. Реверс-инжиниринг ИИ-решений 2. Выявление "слепых зон" моделей 3. Прогнозирование развит…
Showing the 12 most recent of 18 posts we hold for @chexilinfo. 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.
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“OSINT_PANTS” (@chexilinfo), 770 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/chexilinfo.
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.