安全号单绑邮箱 60出了,地铁8级 @cnhackeras
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Channel
@SZNHOOK
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,992subscribers
-409 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001840245877 |
|---|---|
| Type | Channel |
| Username | @SZNHOOK |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 10 September 2026 |
| On Telegram | t.me/SZNHOOK |
Hacking & security — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Sept 2026, 06:40 | 11,992 | -28 |
| 6 Sept 2026, 23:38 | 12,020 | -18 |
| 4 Sept 2026, 07:40 | 12,038 | -7 |
| 2 Sept 2026, 23:46 | 12,045 | -9 |
| 1 Sept 2026, 19:43 | 12,054 | -78 |
| 31 Aug 2026, 19:39 | 12,132 | -4 |
| 30 Aug 2026, 21:37 | 12,136 | -6 |
| 29 Aug 2026, 20:53 | 12,142 | -5 |
| 28 Aug 2026, 21:54 | 12,147 | -6 |
| 27 Aug 2026, 22:19 | 12,153 | -3 |
| 26 Aug 2026, 21:55 | 12,156 | -5 |
| 25 Aug 2026, 22:03 | 12,161 | -6 |
| 25 Aug 2026, 00:16 | 12,167 | -29 |
| 23 Aug 2026, 08:47 | 12,196 | -17 |
| 21 Aug 2026, 21:37 | 12,213 | -14 |
| 20 Aug 2026, 19:28 | 12,227 | -7 |
| 19 Aug 2026, 20:44 | 12,234 | -4 |
| 18 Aug 2026, 22:07 | 12,238 | -6 |
| 17 Aug 2026, 19:24 | 12,244 | -13 |
| 16 Aug 2026, 13:46 | 12,257 | first reading |
28 posts held, back to 7 January 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 49 pages of 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. It is computed over the 7 of 8 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 September 2026 |
|---|---|
| Posts held | 28 (7 January 2026 – 1 September 2026) |
| Views total | 3,009 |
| Reactions total | 29 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 23:14 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.
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.
157 reactions across 23 posts, in 4 distinct kinds. The most used accounts for 58.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 91 | 58.0% | |
| 👍 | 54 | 34.4% | |
| 🤔 | 7 | 4.46% | |
| 🤪 | 5 | 3.18% |
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 24 of the 28 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 157 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 7 January 2026 to 1 September 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.
安全号单绑邮箱 60出了,地铁8级 @cnhackeras
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Photo, posted without a caption
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tersafe/anogs解BR混淆和字符工具 发现B站有人用这个圈米使用GPT5.6 SOL 花费1小时写了一个 补齐了所有残余BR混淆 补齐了大部分字符串 高版本ACE(三角洲 Rust)全部没问题 低版本的ACE(手瓦)有的没适配有空再说 Telegram @ZLBNB666
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失控进化稳定端口‼️ 风铃失控端口 ✅1.防模块加密 ✅2.举报下发解密 ✅3.防举报行为1/7 ✅4.防封 👑闪框解密👑 无禁网,频道超多反馈 公益版端口在频道 @xvcczc 同时公益内核 🔖风铃失控端口赞助版卡网🔖 https://816.jytos.cn/shop/95CKIIKQ/g641e6 无关闭评论区行为 失控公益内核频道https://t.me/xvcczc 公益版端口在频道https://t.me/xvcczc 公益版端口在频道https://t.me/xvcczc 公益版端口在频道https://t.me/xvcczc
tersafe/anogs解BR混淆和字符 发现B站有人用这个圈米使用GPT5.6 SOL 花费1小时写了一个 Telegram @ZLBNB666
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case1
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失控进化稳定端口‼️ 风铃失控端口 ✅1.防模块加密 ✅2.举报下发解密 ✅3.防举报行为1/7 ✅4.防封 👑闪框解密👑 无禁网,频道超多反馈 公益版端口在频道 @xvcczc 同时公益内核 🔖风铃失控端口赞助版卡网🔖 https://816.jytos.cn/shop/95CKIIKQ/g641e6 无关闭评论区行为 失控公益内核频道https://t.me/xvcczc 公益版端口在频道https://t.me/xvcczc 公益版端口在频道https://t.me/xvcczc 公益版端口在频道https://t.me/xvcczc
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谁有国体64位的数据 发送 @byqingyun 不要sdk 也不要32位的
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在相册翻到这种图片了 记得是那年暑假 来这个圈子第一桶金是给学生党救砖 怀恋啊 现在学生党学精了 不会乱执行Linux脚本了😡😡
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不是我不想给你们更新追踪 其实我现在这个工作有挺长时间弄的 主要是国体真的没什么玩头了 还有就是没设备 之前那个一加ace5pro出掉了 那个设备算是我用过最难受的一款了 唯一的优点就是系统好点 陀螺仪延迟 屏幕看着难受 等等 等下次吧 6月7日发工资打算给我的2080ti给换了 正好小米不是出了一个秒解bl的漏洞吗 后面买一部k90promax再更新吧 😐😐而且现在源码已经开源了 有动手能力的自己换一下sdk用aide打包一下 一样的效果 没动手能力的就去学 我还特地把偏移单独拎了个文件出来 其他的你都不用动 饭都送到嘴里面了你还不会吃 那我也没招
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下载链接: https://wwbfz.lanzout.com/b019vuqbrc
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无畏契约手游 裸奔范围 裸奔午后 裸奔绘制 裸奔自瞄 售后 @BYSZN
Showing the 12 most recent of 28 posts we hold for @SZNHOOK. 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.
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.
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 10 September 2026 — this entry's latest reading, not the date you are reading this.
“素质能主频道” (@SZNHOOK), 11,992 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/SZNHOOK.
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.