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Channel
隐私安全社 | 免费社工库分享
@noprivacyforus
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
22,347subscribers
+889 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002325316923 |
|---|---|
| Type | Channel |
| Username | @noprivacyforus |
| Description | 1.专注隐私安全 2.整理来自网络的可用免费社工库、py、安全软件,勿用于非法用途,仅供了解、娱乐、个人信息泄露验证,并做弥补使用。 3.没有对社工库有进一步的了解,对付费的社工库也没有尝试过,不做评价。 4.搜索群:https://t.me/TGfreesearch 5.产品推广 @ESIM963 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 30 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/noprivacyforus |
Topic
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 11:00 | 22,347 | +56 |
| 16 Sept 2026, 18:16 | 22,291 | +29 |
| 14 Sept 2026, 17:37 | 22,262 | +37 |
| 13 Sept 2026, 05:18 | 22,225 | -12 |
| 11 Sept 2026, 07:59 | 22,237 | +51 |
| 8 Sept 2026, 14:56 | 22,186 | +98 |
| 5 Sept 2026, 10:21 | 22,088 | +60 |
| 3 Sept 2026, 10:57 | 22,028 | +30 |
| 2 Sept 2026, 03:14 | 21,998 | +36 |
| 1 Sept 2026, 06:08 | 21,962 | +45 |
| 30 Aug 2026, 01:18 | 21,917 | -26 |
| 29 Aug 2026, 04:43 | 21,943 | +48 |
| 28 Aug 2026, 01:38 | 21,895 | +39 |
| 26 Aug 2026, 22:54 | 21,856 | +27 |
| 25 Aug 2026, 22:14 | 21,829 | +35 |
| 24 Aug 2026, 19:18 | 21,794 | +32 |
| 23 Aug 2026, 04:04 | 21,762 | +29 |
| 21 Aug 2026, 14:48 | 21,733 | +12 |
| 20 Aug 2026, 16:53 | 21,721 | +28 |
| 19 Aug 2026, 16:14 | 21,693 | first reading |
Engagement
280 posts held, back to 1 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 65 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.16%
- avg views ÷ 22,347 subscribers
- Avg views / post
- 483
- 56 posts measured
- Reaction rate
- 0.439%
- reactions ÷ views · ER floor
- Posts in window
- 56
- of 280 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. It is computed over the 35 of 56 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 October 2026 |
|---|---|
| Posts held | 280 (1 August 2026 – 1 October 2026) |
| Views total | 27,027 |
| Reactions total | 92 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Oct 2026, 17:06 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
- 94
- Videos
- 4
- Links
- 292
Lifetime counters from Telegram’s own channel header, read 1 October 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.
- Video runtime
- 9m 20s
- Average length
- 3m 07s
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
260 reactions across 110 posts, in 4 distinct kinds. The most used accounts for 60.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 156 | 60.0% | |
| ❤ | 94 | 36.2% | |
| 😍 | 9 | 3.46% | |
| 😘 | 1 | 0.385% |
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 117 of the 280 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 260 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 280 most recent posts we hold, published 1 August 2026 to 1 October 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
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👍3
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❤1
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Showing the 12 most recent of 280 posts we hold for @noprivacyforus. 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.
Posts edited after publishing
@noprivacyforus edited 10 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 8 August 2026
- Most recent edit
- 28 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
Names
Channels on the register whose handles appear in this channel's posts.
@tianwangrg · 35,13144 posts天网-社工库
@TW001SGK_BOT · 11,55844 posts天网社工库查询| 开户 | 交流群
@twkhjl · 29,32544 posts星渊通知频道
@XYBYPD · 12,40544 posts星渊社工库查询 | 开户|交流群
@xysgkjl · 18,39844 postsHome&社ユ庫機器ん
@HomeSGKBOT · 25,07318 posts免费社工库机器人导航 Chat
@noprivacyforuschat · 2,38718 posts快搜🔍资源搜索@kuai
@kuaia · 1,116,94215 posts快搜🔍资源搜索@kuai
@kuaiaa · 1,148,14115 posts白板个户通知频道
@baibangh · 9799 posts海盗免费社工机器人【官方频道】
@HaiDaoSgk · 49,2027 posts海盗社工库【演示频道】
@haidaosgk_yanshi · 5527 posts🏴☠️ 海盗社工库【永久免费】
@HaiDaoSgkBot · 15,2127 posts万事
@x111111n1 · 62 posts🚀暗网免费社工库 @CXSGK
@anwangsgkbot · 66,7661 post记账机器人 @CABbot💰💰💰💰
@cabbot · 28,8401 post76号档案室
@DT76Hbot · 20,3351 post查档圈-新闻
@ESU5200 · 12,3761 post盒武器
@hewuqi · 64,6831 post智库隐私查询机器人
@zksgkbot · 27,5101 post
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.
Handles this channel named that no longer answer
- Dead references
- 4
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 2
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 2
- vacant every time we have ever looked
@noprivacyforus named 4 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 7 posts, 8 August 2026 – 13 August 2026 · confirmed gone 31 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 7 posts, 8 August 2026 – 13 August 2026 · confirmed gone 2 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 19 posts, 8 August 2026 – 4 September 2026
named in 1 post, 27 August 2026 – 27 August 2026
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“隐私安全社 | 免费社工库分享” (@noprivacyforus), 22,347 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/noprivacyforus.
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.