Telegram RegisterThe public register of Telegram

Channel

FrontSecOps

@FrontSecOps

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

820subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002100502252
TypeChannel
Username@FrontSecOps
DescriptionБезопасность и безопасная разработка frontend-приложений. Актуальные риски и методы защиты современных js-приложений. По всем вопросам @mkparfenov
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live6 August 2026
Measurements held2
On Telegramt.me/FrontSecOps

Growth

8206 Aug 2026, 13:17 — 820 subscribers6 Aug 2026, 15:19 — 820 subscribers6 Aug 2026, 13:176 Aug 2026, 15:19
2 measurements taken within a single day. 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 819–821 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 15:19820no change
6 Aug 2026, 13:17820first reading

Engagement

19 posts held, back to 11 September 2025the 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
41.6%
avg views ÷ 820 subscribers
Avg views / post
341
1 post measured
Reaction rate
2.93%
reactions ÷ views · ER floor
Posts in window
1
of 19 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 21 July 2026
Posts held19 (11 September 202521 July 2026)
Views total341
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 15:19 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

Photos
63
Videos
7
Links
52

Lifetime counters from Telegram’s own channel header, read 6 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.

Reaction mix

185 reactions across 19 posts, in 8 distinct kinds. The most used accounts for 58.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥10858.4%
👍4725.4%
189.73%
😱52.70%
👾31.62%
😨21.08%
👏10.541%
🤡10.541%

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 19 of the 19 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 185reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 11 September 2025 to 21 July 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

21 Jul 2026, 04:54 UTC341 views10 reactionsread 6 August 2026
Photo

Результаты исследования безопасности российских frontend-приложений Q2 2026 Опубликовали отчет, посмотрим, что изменилось за год с предыдущего исследования ↗️ Как и в прошлый раз мы c помощью FAST-анализатора проверили > 3000 публичных frontend-приложений 🖥 крупнейших коммерческих российских компаний. Основные показатели и динамика: ⚠️ загрузка скриптов с зарубежных хостов: 48 % (-16🤔) ⚠️ отправка запросов на зар

🔥10

Signed Михаил Парфенов

24 Jun 2026, 04:57 UTC635 views5 reactionsread 6 August 2026
Photo

Интересная подборка инцидентов, связанных с вайб-кодингом 🌟 https://crackr.dev/vibe-coding-failures Из относящихся к frontend-приложениям и NPM в этом списке - кампания PhantomRaven Тип атаки slopsquatting: из-за галлюцинаций нейронки могут выдавать имена несуществующих зависимостей. Причем эти имена предсказуемы. Злоумышленники загрузили в npm 126 вредоносных библиотек с такими именами. За 1 год библиотеки были

👍5

Signed Михаил Парфенов

23 Jun 2026, 10:47 UTC481 views4 reactionsread 6 August 2026
Forwarded from @anti_malwarePhoto

Безопасный код без войны с разработчиками: практика DevSecOps в 2026 году Покупка сканера безопасности не делает разработку безопасной автоматически. Гораздо важнее правильно выстроить процессы, определить ответственность и научиться работать с результатами проверок. 🔥 24 июня в 15:00 в второй части эфира AM Live обсудим, как компании сегодня выстраивают практику анализа исходного кода. С экспертами разберем: — ка

👍4

Signed Михаил Парфенов

16 Apr 2026, 14:11 UTC≈1,160 views21 reactionsread 6 August 2026
Photo

Почему композиционный анализ (SCA) не гарантирует отсутствие вредоносного кода в frontend-приложении? В прошлый раз мы обсуждали, почему SAST не может обнаружить вредоносный код в frontend-приложениях. Сегодня рассмотрим SCA. 1️⃣ Современные js-фреймворки 📱 используют пакетный менеджер (npm). Все зависимости при билде упаковываются в файл-бандл (app.js, main.js и т.п.). Этот бандл подключается на веб-страницу в вид

👍12🔥63

Signed Михаил Парфенов

16 Apr 2026, 11:14 UTC556 views8 reactionsread 6 August 2026
Photo

Через час выложу пост про Применимость композиционных анализаторов (SCA) для обнаружения вредоносного кода в frontend-приложениях 🖥... А пока приглашаю всех на CISO Forum 2026 - важное событие для CISO, CIO, ИБ-архитекторов и AppSec-специалистов России. В 16:00 выступаю с докладом «WAF внедрили, API защитили... А данные крадут собственные и партнерские js-скрипты на веб-страницах. Как защитить фронтенд?» Много лет

🔥52👍1

Signed Михаил Парфенов

31 Mar 2026, 09:44 UTC901 views5 reactionsread 6 August 2026
Photo

⚠️ Компрометация npm-пакета Axios Axios - популярный HTTP-клиент для JavaScript 📱 с > 100 млн загрузок в неделю. Аккаунт мейнтейнера был скомпрометирован, к библиотеке была подключена вредоносная зависимость plain-crypto-js@4.2.1 и опубликованы новые версии: 🔸axios@1.14.1 🔸axios@0.30.4 Зависимость plain-crypto-js@4.2.1 содержала postinstall-скрипт, который запускал выполнение вредоносного кода на машине разработчи

😱5

Signed Михаил Парфенов

27 Mar 2026, 10:01 UTC660 views3 reactionsread 6 August 2026
Photo

JS-червь в frontend-приложении Meta-Wiki (проект Википедии) Любопытный инцидент в Meta-Wiki (сайт, где обсуждаются события в проектах Фонда Викимедиа). У пользователей сайта есть возможность добавления на страницу js-скриптов для кастомизации собственного интерфейса. У администраторов есть возможность изменения глобального js-скрипта, который выполняется у всех пользователей. 5 марта 2026 сотрудник из команды безо

👍3

Signed Михаил Парфенов

3 Feb 2026, 14:15 UTC947 views1 reactionsread 6 August 2026
Photo

4 февраля 2026 (среда) в 16:00 МСК в рамках цикла вебинаров "Вокруг РБПО за 25 вебинаров: ГОСТ Р 56939-2024" от PVS-Studio провожу вебинар: Безопасность frontend-приложений: особенности, угрозы и анализаторы класса FAST (Frontend Application Security Testing) Рассмотрим актуальные угрозы, фреймворк МУ Frontend Kill Chain, обсудим, почему классические анализаторы имеют низкую достоверность для frontend-приложений, и

🔥1

Signed Михаил Парфенов

27 Jan 2026, 18:07 UTC≈1,230 views20 reactionsread 6 August 2026
Photo

В крупнейшем банке США 😒 (топ 3 ↗️) в интернет-магазине для сотрудников был обнаружен js-сниффер/кейлогер 🦠 Интернет-магазин могли использовать до 200 000 сотрудников банка. Сниффер перехватывал данные банковских карт, логины/пароли пользователей, адрес доставки товара и другие данные, введенные в формы 🪪 Что делал вредоносный код? 🔹В код страниц был внедрен inline-скрипт (загрузчик) 📱, он проверял, что страница я

🔥16👍4

Signed Михаил Парфенов

26 Jan 2026, 14:16 UTC700 views5 reactionsread 6 August 2026
Photo

В среду 28 января в 11:00 МСК в прямом эфире AM Live будем говорить об актуальных угрозах и средствах защиты веб-приложений 🛡 Обсудим: 🔸Цель злоумышленников, что монетизируют в первую очередь? 🔸Что важнее? WAF, Frontend Security, Anti DDOS/Bot, защита API, процессы/инвентаризация, безопасность мобильных приложений, SSDLC/РБПО? 🔸Как при внедренном WAF и защите API вредоносный скрипт на фронтенде может месяцами пох

🔥5

Signed Михаил Парфенов

4 Dec 2025, 00:17 UTC≈2,240 views15 reactionsread 6 August 2026

⚠️⚠️⚠️ Критическая уязвимость в React Server Components и Next.js Небезопасная десериализация, RCE. Специально сформированный HTTP-запрос неаутентифицированного пользователя приводит к выполнению произвольного кода на сервере ♥️ CVE-2025-55182 / CVSS 10.0 ☄️ Эксплойт доступен 💣 Уязвимость присутствует в версиях 19.0, 19.1.0, 19.1.1 и 19.2.0 пакетов: 🔸 react-server-dom-webpack 🔸 react-server-dom-parcel 🔸 react-serv

🔥95👏1

Signed Михаил Парфенов

19 Nov 2025, 08:41 UTC≈1,400 views11 reactionsread 6 August 2026
Photo

Седьмой zeroday в Chrome за 2025 год CVE-2025-13223 - уязвимость в V8 - открытие в браузере специально сформированной HTML-страницы приводит к выполнению произвольного кода на устройстве пользователя. Далее - шифровальщик, RAT и т.д. Если пользователь находится в корпоративной сети, это может привести к уничтожению всех данных компании, что мы уже видели в нескольких крупных инцидентах в этом году 💥 Эксплойт уже с

👍5👾3🔥21

Signed Михаил Парфенов

Showing the 12 most recent of 19 posts we hold for @FrontSecOps. 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 — 1,004,987 of 1,160,990entries 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 1 registered channel — 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.

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

“FrontSecOps” (@FrontSecOps), 820 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/FrontSecOps.

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.