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Channel

报毒解决企业签超级签证书打包虚拟卡台

@aliyunxxxx

On this record: Growth · Engagement · Posts · Citations · Cite this entry

7subscribers

+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-1003046596856
TypeChannel
Username@aliyunxxxx
Description出售已备案精品域名 - 全网不掉备案域名 - 已备案域名出租?
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live15 August 2026
Measurements held2
On Telegramt.me/aliyunxxxx

Growth

78 August 2026 — 7 subscribers12 August 2026 — 7 subscribers8 August 202612 August 2026
2 measurements spanning 5 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 6–8 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 18:337no change
8 Aug 2026, 04:307first reading

Engagement

20 posts held, back to 19 January 2026the 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
14.3%
avg views ÷ 7 subscribers
Avg views / post
1.0
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
of 20 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 5 August 2026
Posts held20 (19 January 20265 August 2026)
Views total2
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:33 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.

Recent posts

5 Aug 2026, 15:24 UTC1 viewsread 12 August 2026

安卓APP被误报病毒的原因有以下几点: 1,APP 签名证书名称与其他 APP 重名,被连带误报。 2,APP 权限过多,被安全软件拦截并误报,因此应尽量权限最小化。 3,APP 名称与大型应用重叠,可能触发侵权检测导致报毒。 4,APP 存在安全漏洞,被安全软件扫描识别。 5,APP 内含敏感文字或恶意代码。 等等。 我们团队已针对所有可能导致误报的情况制定完整解决方案,通过对 APP 进行混淆、加密、加固、防报毒处理,成功解决误报问题。同时技术持续更新迭代,为客户的应用运营保驾护航! 🎟️意向请联系: @Kf365bot @nijiej

5 Aug 2026, 15:24 UTCviews —

报毒解决企业签超级签证书打包虚拟卡台 pinned «安卓APP被误报病毒的原因有以下几点: 1,APP 签名证书名称与其他 APP 重名,被连带误报。 2,APP 权限过多,被安全软件拦截并误报,因此应尽量权限最小化。 3,APP 名称与大型应用重叠,可能触发侵权检测导致报毒。 4,APP 存在安全漏洞,被安全软件扫描识别。 5,APP 内含敏感文字或恶意代码。 等等。 我们团队已针对所有可能导致误报的情况制定完整解决方案,通过对 APP 进行混淆、加密、加固、防报毒处理,成功解决误报问题。同时技术持续更新迭代,为客户的应用运营保驾护航! 🎟️意向请联系:…»

31 Jul 2026, 11:07 UTCviews —

报毒解决企业签超级签证书打包虚拟卡台 pinned «IOS签名: 源头苹果签名、封装苹果ipa服务,只需提供H5链接、应用Logo、应用名称即可。源头苹果签、企业签、TF签名 稳定不掉漆签 专业团队5年 APK过毒免杀: 安卓APK全机型过毒/加固免杀。支持安卓机型加固过毒免杀处理,可实现随时自动加固打包过毒,灵活方便,无后顾之忧。五年免杀24小时售后,不用担心找不到人 ————————————— 🎯24小时在线: @Kf364bot @wujian56»

31 Jul 2026, 11:07 UTC1 viewsread 12 August 2026

IOS签名: 源头苹果签名、封装苹果ipa服务,只需提供H5链接、应用Logo、应用名称即可。源头苹果签、企业签、TF签名 稳定不掉漆签 专业团队5年 APK过毒免杀: 安卓APK全机型过毒/加固免杀。支持安卓机型加固过毒免杀处理,可实现随时自动加固打包过毒,灵活方便,无后顾之忧。五年免杀24小时售后,不用担心找不到人 ————————————— 🎯24小时在线: @Kf364bot @wujian56

1 Jul 2026, 17:18 UTC2 viewsread 12 August 2026

下午好 铁子们 🔥 iOS 全套签名 & 技术服务来了! ✔️ 企业签 | 不掉签 | 成本低 ✔️ TF 签 | 官方渠道 | 100% 安全 ✔️ 超级签 | 一机一签 | 长期稳定 ✔️ 你出包 我来负责后续工作 💥 另有:APK 免杀、防红处理、开发者账号 签名不稳?掉签频繁?找我! 👈需求联系: @Kf365bot @tfjiuai

28 Jun 2026, 07:34 UTC2 viewsread 12 August 2026

各位老板好,公司承接企业签名,超级签名,还有TF签名,稳定不掉签,便宜好用,可接各种类型,不清楚细节的老板可以详细咨询我,满足任何稳定性任何需求的应用,手上多本证书,只要你愿意,你签10本咱们都能提供 🍎联系方式: @Kf364bot @orzios

9 May 2026, 06:42 UTC3 viewsread 12 August 2026

🚀【iOS签名 + 加固防护 一体化服务】🔥 专业提供 iOS企业签、超级签、TF签,稳定不掉签,快速安装无烦恼! 🛡 加固防护多重加密,有效防报毒、防破解,保障App安全与合规! 📲 一站式签名+加固解决方案,让推广更高效、运营更安心! ⚙️【高效稳定 · 双效合一】 签名即签即用,支持多类型证书; 加固深度防护,防逆向、防篡改、防病毒; 稳定通道不掉线,长期运行更省心! 🤝【直营招代理 · 安全保障】 ✅ 源头直营,价优稳定,诚邀代理合作; ✅ 24小时客服在线,秒回服务,随时对接! 👈意向请联系: @cs365bot @dibaqu1

21 Mar 2026, 11:26 UTCviews —

Channel name was changed to «报毒解决企业签超级签证书打包虚拟卡台»

21 Mar 2026, 11:15 UTC8 viewsread 12 August 2026

【苹果签名业务对接】 ✔️ 超级签名|无限下载,支持更新 ✔️ 企业签名|包月稳定,证书可选 ✔️ TF签名|安全合规,快速上线 我们是源头渠道直连,签名价格更透明,签得稳、掉签快补,售后响应及时 投放、过渡、长期合作都没问题 ✅ 💎欢迎咨询: @cs364bot @appxz8

20 Mar 2026, 14:41 UTC7 viewsread 12 August 2026

天王盖地虎 思念最靠谱 宝塔镇河妖 签名价不高 十年磨一剑 天天都在线 今夜星空闪闪 苹果信心满满 诚信商家接单 #apk安卓报毒 #免杀 #防毒 #过白 #免费更新 💯联系方式: @Kf365bot @sojiami8

18 Mar 2026, 09:21 UTC6 viewsread 12 August 2026

🎲为什么你的 APP 会频繁报毒? 代码特征扫描: 华为、OPPO 等系统会对安装包进行动态代码扫描,检测到敏感插件或不合规权限立即报毒。 下载域/落地页红名: 很多时候不是包毒,而是你的分发域名被拦截。 🐱 我们的对策: 独家 混淆加密 + 动态过毒 技术,彻底打乱特征码。不只是简单的签名,而是从底层重构应用指纹,让系统扫描“无从下手”。 🔼咨询客服: @cs365bot @shede888a

17 Mar 2026, 19:51 UTC4 viewsread 12 August 2026

APP报毒加固服务 彻底解决应用被误报、风控、拦截等问题! ✅ 专业加固技术,快速通过各大安全检测 ✅ 多年行业经验,安全可靠不掉签 ✅ 支持安卓 / iOS 多平台处理 让你的APP稳定上线、无忧推广! 👈人工客服: @cs365bot @zyzios

Showing the 12 most recent of 20 posts we hold for @aliyunxxxx. 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 — 172,694 of 1,481,306entries 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.

Mentions

Named by 9 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“报毒解决企业签超级签证书打包虚拟卡台” (@aliyunxxxx), 7 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/aliyunxxxx.

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.