Telegram RegisterThe public register of Telegram

Channel

AWS打包MDM超级签名苹果签apk报毒

@getfeng

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

3subscribers

+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-1002324315678
TypeChannel
Username@getfeng
Description无需越狱、安装即用,证书稳定性高,为您提供最舒心的签名服务! 了解更多. 超级签名. 一次安装、全年不掉签、提高应用分发效率,省时省力又省钱! 了解更多. 内测分发.\
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live13 August 2026
Measurements held2
On Telegramt.me/getfeng

Growth

38 August 2026 — 3 subscribers13 August 2026 — 3 subscribers8 August 202613 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 2–4 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 14:313no change
8 Aug 2026, 04:313first 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
33.3%
avg views ÷ 3 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 taken13 Aug 2026, 14:31 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
2
Links
2

Lifetime counters from Telegram’s own channel header, read 13 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.

Recent posts

5 Aug 2026, 15:28 UTCviews —

AWS打包MDM超级签名苹果签apk报毒 pinned «😀源头安卓APK报毒免杀处理😀 1️⃣全网独家加固混淆加密技术,过海内外所有机型,用户留存率提高99% 2️⃣全天候不间断监测病毒库自动更新处理,过所有机型报毒 3️⃣可搭建属于老板自己的云服务器,流量费85折! 4️⃣可以不改包名完美过毒,支持OP统计、第三方SDK、微信登录、热更新等 5️⃣支持免费先测试,满意再付款 🤝源头技术 问价不亏🤝 🔵需求联系: @Kf364bot @hmingx»

5 Aug 2026, 15:28 UTC1 viewsread 13 August 2026

😀源头安卓APK报毒免杀处理😀 1️⃣全网独家加固混淆加密技术,过海内外所有机型,用户留存率提高99% 2️⃣全天候不间断监测病毒库自动更新处理,过所有机型报毒 3️⃣可搭建属于老板自己的云服务器,流量费85折! 4️⃣可以不改包名完美过毒,支持OP统计、第三方SDK、微信登录、热更新等 5️⃣支持免费先测试,满意再付款 🤝源头技术 问价不亏🤝 🔵需求联系: @Kf364bot @hmingx

31 Jul 2026, 11:11 UTCviews —

AWS打包MDM超级签名苹果签apk报毒 pinned «✅✅✅✅✅✅✅✅✅ 源头超级签 专注超级签 mdm 🔥业内排行前十不接受反驳 🔥1.对接高效流畅 即签即用 🔥2.独立后台 数据透明 🔥3.添加cnzz 不偷量刷量 🔥4.多服务器CDN加速 🔥5.安装速度快便捷稳定 🔥6.超级签证书在手 天下我有 🔥7.专业技术团队 售后无忧 🔥8.免费测试 先签后付 🔥一次合作 终身服务 🏅24小时服务: @Kf364bot @xrkeji»

31 Jul 2026, 11:11 UTC1 viewsread 13 August 2026

✅✅✅✅✅✅✅✅✅ 源头超级签 专注超级签 mdm 🔥业内排行前十不接受反驳 🔥1.对接高效流畅 即签即用 🔥2.独立后台 数据透明 🔥3.添加cnzz 不偷量刷量 🔥4.多服务器CDN加速 🔥5.安装速度快便捷稳定 🔥6.超级签证书在手 天下我有 🔥7.专业技术团队 售后无忧 🔥8.免费测试 先签后付 🔥一次合作 终身服务 🏅24小时服务: @Kf364bot @xrkeji

1 Jul 2026, 17:19 UTC3 viewsread 13 August 2026

已经开启接单模式😎 ios苹果超级签 企业签 TF签 个签稳定不掉签,独立证书更稳定,可封装安卓apk、苹果ipa服务,只需提供H5链接、应用Logo、应用名称即可。提供分发下载页面,客户安装后,APP稳定时间长达半年,无掉签烦恼。 APK过毒免杀: 安卓APK全机型过毒/加固免杀。支持海内外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。 ✅apk报毒 ✅超级签名 ✅封装app ✅苹果签名 ✅企业签名 ✅TF签名 😂😂😂😂😂😂😂😂 ‼️全天为您服务: @cs366bot @kedi1211

28 Jun 2026, 07:35 UTC3 viewsread 13 August 2026

😀 五年平台老字号 专业团队 🍎专注ios苹果签名-企业签-超级签-TF签 🛡APK防毒-免杀-加固-过白 😁H5域名封装打包/源码打包 ⚠️认准业务员,被骗概不负责 🔝人工客服: @Kf365bot @lsp91ios

9 May 2026, 06:43 UTC2 viewsread 13 August 2026

👑专注于安卓防毒、去毒处理、APP封装打包 ‼️报毒处理、深度解析 👍拒绝反复报毒,专业团队研发技术,为盘总的推广保驾护航💪 🔥针对各种报毒,各机型报毒,风险提示,无法安装应用闪退等问题修复与排查 🔥通过对apk原包的深度解析,进行全方位加固全面混淆,可以对其源码有个全面的保护。防止收录应用特征。 🔰免费测试 安全可靠 售后无忧🔰 ➕加入合作: @Kf365bot @hhfdscbe

21 Mar 2026, 11:16 UTC5 viewsread 13 August 2026

🔥 源头 APK 加固 不用复杂操作,也不用懂技术,直接把 APK 给我们就能加固。 ✅ 适配几乎所有机型,正常安装不卡壳。 ✅ 不需要源码,只要你有 APK,我们就能处理。 ✅ 安装率直接提升,用户更容易装、更不容易掉。 ✅ 不报毒、不警告,用着稳稳的。 👉 专业团队,全程靠谱,长期稳定合作都有保障! 🎰联系方式: @Kf363bot @gtqdk

20 Mar 2026, 14:42 UTC4 viewsread 13 August 2026

大家下午好 和大家说下为什么会报毒 🥹🥹🥹 Q:为什么 APK 一安装就报毒? 🤔 A: 很多时候不是 APP 本身有问题, 而是 封装特征、权限行为或历史特征 被系统风控拦截, 所以会提示风险,甚至直接报毒。 Q:这个问题能解决吗? A: 可以的 👍 我们会 直接对安装包进行处理: ✔️ 动态加固处理 ✔️ 清理报毒特征 ✔️ 优化安装行为 ✔️ 适配各类安卓系统风控 常见的 病毒特征库基本都有记录 👉全天为您服务: @Kf365bot @cjq666777

18 Mar 2026, 09:22 UTC3 viewsread 13 August 2026

专业提供处理免杀过白报毒处理 解决封装或原生APK手机安装误报毒等等不安全问题 全网独家技术 高效稳定 apk永不报毒无缝兼容适配市面上99.99%的机型,荣耀小米oppo vivo 等 完美解决报毒问题使下载更加稳定,安装率提升100%以上 专业团队运营,独家技术处理。完美售后 客服24小时在线接单。 全网最稳定的苹果签名 超级签mdm企业签V3 单次充值300台每台人民币2元, 单次充值1000台每台1.7元,单次3000台以上1.6元,普通应用需每天低消10台, 量大价更低,防闪退 不高版本 ◀️需求联系: @cs366bot @wangcaimdm

17 Mar 2026, 19:52 UTC2 viewsread 13 August 2026

承接苹果签名 企业签 、v3签 、TF 、MDM 以及 打包 分发 封装 提包 服务 24小时在线 【源头直签低价】 没有中间商 低价 稳定 有保障 不限任何APP 支持免费测试 先签后付 🍎负责人: @Kf365bot @ios2662

Showing the 12 most recent of 20 posts we hold for @getfeng. 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 — 183,996 of 1,478,351entries 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 7 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“AWS打包MDM超级签名苹果签apk报毒” (@getfeng), 3 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/getfeng.

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.