Channel
@CyberSecWatch
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,191subscribers
+2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1004490629774 |
|---|---|
| Type | Channel |
| Username | @CyberSecWatch |
| Created | Between 1 June 2026 and 4 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/CyberSecWatch |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 04:25 | 1,191 | +2 |
| 6 Aug 2026, 19:50 | 1,189 | no change |
| 6 Aug 2026, 19:49 | 1,189 | first reading |
20 posts held, back to 4 August 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 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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (4 August 2026 – 6 August 2026) |
| Views total | 40 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 19:50 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.
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超250个域名伪装浏览器指纹，macOS恶意软件投放升级 微软威胁情报团队追踪发现，一个涉及超过250个前端域名的macOS ClickFix攻击活动，开始通过浏览器指纹识别技术筛选访问者，再决定是否展示恶意软件诱饵。这一变化发生在微软已持续监控数周的基础设施上。 该攻击采用服务端门控机制，能够对爬虫和沙箱环境隐藏恶意页面，同时向被选中的Mac用户展示虚假的软件下载界面。这种手法有效规避了安全研究人员的自动化分析工具，使恶意活动更难被检测和追踪。 • 攻击规模：超过250个前端域名参与此次ClickFix活动，形成庞大的基础设施网络 • 技术手段：利用浏览器指纹识别技术，在服务端判断访问者身份，仅对特定目标展示恶意内容 • 规避能力：可隐藏恶意页面，避开爬虫和沙箱环境的检测，增加安全分析难度 • 攻击目标：macOS用户，通过虚假软件下载页面诱导安装恶意程序 ClickFix攻击手法近年来持续演变，其核心思路是利用用户对…
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Showing the 12 most recent of 20 posts we hold for @CyberSecWatch. 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 — 94,575 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.
Named by 38 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
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.
“网络安全·黑客攻防｜渗透·CTF·安全资讯” (@CyberSecWatch), 1,191 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/CyberSecWatch.
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.