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Channel

HuangYu指定站滲透

@HuangyuGroupPenetration

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

25subscribers

+0 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1001962992887
TypeChannel
Username@HuangyuGroupPenetration
Description针对指定站渗透提供一整套完整服务、包含从客户角度的站点分析、技术角度的资产收集,打站拖库后也有专业数据整理团队提供数据整理服务!
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live16 August 2026
Measurements held2
On Telegramt.me/HuangyuGroupPenetration

Growth

258 August 2026 — 25 subscribers11 August 2026 — 25 subscribers8 August 202611 August 2026
2 measurements spanning 3 days. 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 24–26 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 09:1925no change
8 Aug 2026, 04:3525first reading

Engagement

13 posts held, back to 2 March 2024the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 24 April 2024. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
10
Videos
1
Links
1

Lifetime counters from Telegram’s own channel header, read 11 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.

Video runtime
29s
Average length
29s

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.

Reaction mix

6 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6100.0%

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 3 of the 13 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 2 March 2024 to 24 April 2024, 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

28 Mar 2024, 07:07 UTC≈1,500 viewsread 11 August 2026
Photo

小心骗子!这是假冒的! https://t.me/hyg_guest_verify_bot 交易前都可透过皇裕验证系统来验证查询

24 Mar 2024, 14:18 UTC568 viewsread 11 August 2026

🤓指定站收费标准 🤩《基础工具漏洞扫描》 🤓这部份我们是服务性质不收费。 🤩《站点完整评估、资产收集、报价》 🤓一个站点收费1000U。 🤓APP还需要换凭证等等操作比较复杂,所以APP的部份,一个APP收费1500U。 🤩《打站、交库》 🤓需视站点的规模等,完整评估过后才有办法进行报价,这部份也会针对客户预算来进行讨论协商,一般费用约在10000~25000U之间,如果打不下来会出示一份完整报告,让客户清楚了解是什么原因导致无法拿下或者具体是什么情况所以没有你们想要的数据,没拿下的话事先也会先讨论好该给技术多少的工作费用,所有一切都是透明公开,大家事前讲好并能接受以后才开始工作! ☎️打站专员 @Huangyu1788_bom 如未即时回复请洽⬇️ ☎️技术部C @Huangyu1788_max_C

21 Mar 2024, 13:54 UTC449 views2 reactionsread 11 August 2026
Video

🤓皇裕数据集团打站服务🤓 🤓第一阶段 ⭐️对站点进行全面评估、资产收集 ⭐️网络扫描 ⭐️应用程序扫描 🤓第二阶段: ⭐️识别目标网站的数据库 ⭐️确定目标数据库的类型 ⭐️确定目标数据库的连接方式 ⭐️攻击者登录到目标数据库服务器 ⭐️获取并访问目标数据库 ⭐️可提供payload验证或者客户自行埋雷验证 ☎️打站专员 @Huangyu1788_bom 如未即时回复请洽⬇️ ☎️技术部C @Huangyu1788_max_C

2

20 Mar 2024, 18:18 UTC418 views3 reactionsread 11 August 2026

🤓指定站滲透不是為了賺錢 ↖️指定站渗透这个项目最主要的目的并非营利,是为了帮助目前我们所销售数据无法符合需求的客户,或者说想尝试自己找站点的客户。 ↖️挑选站点确实不容易,具有一定风险性,有赌博运气成分,所以事前的沟通相当重要,我们只能尽力的去降低这种情况,有合作过的客户基本上我们都会提供免费的基本漏扫服务,先大致上帮你们看一下情况,讨论过后再决定需不需要由技术来进行完整的站点评估及资产收集。 ↖️我们主要的诉求是能协助您解决问题,并且在客户端的角度以及技术方的角度来取得一个平衡点!有任何指定站的问题都欢迎来谘询! 如果您有打站需求请立即联系⬇️ 🤓打站专员 @Huangyu1788_bom 如未即时回复的话请洽⬇️ 🤓技术部C @Huangyu1788_max_C

3

9 Mar 2024, 01:02 UTC365 viewsread 11 August 2026

🤓打站重点说明 ❗️很抱歉我们没有办法光凭您提供的站点就回答你这站能不能打?要多少钱? ↖️打站前我们会先观察站点的架构,使用工具进行初步的漏洞扫描,使用漏扫工具不难,很多人都会,但是使用什么样的漏扫工具您清楚吗? ↖️扫描工具有免费的,也有许多我们所使用的商用软件,每种一年续费都是几万块,基础扫描过程几个小时,并且漏扫也存在著误判问题,所以有时还必须使用不同漏扫工具来重复确认,或者使用人工方式进行检验,检测出的漏洞能不能利用还是一回事。 ↖️打站的许多心力必须花费在事前的准备工作,所以您问我这站能不能打?要多少钱?我实在不知道该怎么回答您的问题,很多站打肯定是能打,但是是一个人能打下来还是要用整个团队去打?要花费的费用以及时间跟您的预算符合吗? ↖️一般的指定站渗透,就是您提供站点,我负责打下来,里面有啥东西我不管、有多少东西也不甘我的事,东西全部交给你银货两讫! ❗️皇裕指定站渗透项目主打的是在技术跟客户之间的角

6 Mar 2024, 13:04 UTC370 viewsread 11 August 2026
Photo

🤓為什麼要做评估報告呢? 🤩做一份完整的评估报告可以免去事后的许多争议、扯皮,也能进行流畅的工作衔接! 🤩打指定站水很深,各工作室水准参差不齐,费用落差相当大,我们皇裕肯定不是收费最低,但是站点报价我们都是比照正规资安公司,采用可量化标准,而非随意喊价。 🤩再来我们保证的就是真实性,我们的诉求是将站点的任何情况反馈给客户,并提供一些我们的分析判断来供你们做决定,而不是一些花里胡哨的话术。 🤩我们与客户的目标是一致的,就是希望你们打站的这笔费用花的值得,打出来的东西能帮助到你们,为你们的项目提高收益! 🤓如果您有打站需求请立即联系⬇️ 🤓打站专员 @Huangyu1788_bom 如未即时回复的话请洽⬇️ 🤓技术部C @Huangyu1788_max_C

3 Mar 2024, 05:18 UTC261 viewsread 11 August 2026
Photo

一份完整的评估报告部份内容,可根据客户要求提供中文繁体、简体版本,或者是有其他语言需求也都可以询问!

3 Mar 2024, 04:58 UTC261 viewsread 11 August 2026

🤓为什么评估站点能不能打以及报价要收费? 以下几点说明: ⭐️一开始我们都秉持着服务精神免费帮客户做评估,可是实际上打站前的事先准备工作也相当重要,许多客户经常一次五个、十个站丢来,叫我们看能不能打,到头来我们的技术经常在白忙活,你们可能不会知道我们整个技术团队一个月的基本薪资要支出多少。 ⭐️我们并不是一般只简单对URL进行机扫,然后跟你说打不下来不收费的工作室,我们卖的是整套服务,对站点进行完整的资产收集,并且协助客户来分析站点里面的数据库大概会有哪些字段,使用人数大致上有多少..等等,在打站前多次与客户沟通。 ⭐️打指定站本身具有一定运气成份,经常结果与客户预期的不一样,造成事后很多纠纷、不愉快、扯皮..等等。 ⭐️有机会再跟大家分享、细说!这频道会不定时分享一些指定站渗透的知识,一般客戶學習一點基础可以减少被骗机会,也欢迎同行、技术人员不吝指教、互相交流! 🤓如果您有打站需求请立即联系⬇️ 🤓打站专员 @H

2 Mar 2024, 13:38 UTCviews —

HuangYu指定站滲透 pinned «🤓皇裕数据集团打站服务规章♥️ 🤓第一阶段: ⭐️对站点进行全面评估、资产收集 ⭐️网络扫描:检查网络中的主机、端口和服务,以确定是否存在潜在的安全问题,如主机发现、端口扫描和服务扫描。 ⭐️应用程序扫描:检查应用程序的安全配置,检查是否存在潜在的安全问题,如SQL 注入、跨站脚本、弱口令等。 代码审查:检查代码库的安全性,检查是否存在潜在的安全问题,如代码 secrets 泄露、XSS 攻击、逻辑错误等。 ❗️此阶段收费为1000 USDT ,收款之后安排马上技术进行分析,工作期约需5~10天(…»

Showing the 12 most recent of 13 posts we hold for @HuangyuGroupPenetration. 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 — 411,191 of 1,480,975entries 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.

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 3 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.

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

“HuangYu指定站滲透” (@HuangyuGroupPenetration), 25 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/HuangyuGroupPenetration.

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.