Channel
@elephantsign0
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
3subscribers
+0 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002222233837 |
|---|---|
| Type | Channel |
| Username | @elephantsign0 |
| Description | 苹果签名、v3签、超级签、企业签、TF签打包、分发、封装、提包安卓APK报毒处理、混淆加固、加密防毒♦ |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/elephantsign0 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 17:47 | 3 | no change |
| 9 Aug 2026, 15:16 | 3 | first reading |
20 posts held, back to 19 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 1 pageof 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.
| Window | Rolling 30 days · latest post in window 5 August 2026 |
|---|---|
| Posts held | 20 (19 January 2026 – 5 August 2026) |
| Views total | 2 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 17:47 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.
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.
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 💎联系方式: @Kf364bot @iosqmfs
打包MDM开发者账号超级签谷歌防毒苹果签名 pinned «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 …»
打包MDM开发者账号超级签谷歌防毒苹果签名 pinned «支持全国语言 😔😔 企业签，拥有多本独立证书，稳定持久，保障APP的稳定性，让应用无需上架APP store 即可快速下载安装，测试满意在付款，免费更新，掉签免费秒补。 😣😣MDM签，V3签，独立后台，独立书，稳定持久，按量计费，免费更新，掉签免费秒补。 😔😔TF签，不需要在设置里信任，下载好即用，下载一次可用90天不掉，持久稳定，免费更新，掉签免费秒补。 😔😔超级签，独立后台，按下载计费，免费更新，掉签免费秒补。 apk安卓报毒，免杀，防毒，过白，免费更新。 ☎️咨询客服: @cs364bot @chaojiio»
支持全国语言 😔😔 企业签，拥有多本独立证书，稳定持久，保障APP的稳定性，让应用无需上架APP store 即可快速下载安装，测试满意在付款，免费更新，掉签免费秒补。 😣😣MDM签，V3签，独立后台，独立书，稳定持久，按量计费，免费更新，掉签免费秒补。 😔😔TF签，不需要在设置里信任，下载好即用，下载一次可用90天不掉，持久稳定，免费更新，掉签免费秒补。 😔😔超级签，独立后台，按下载计费，免费更新，掉签免费秒补。 apk安卓报毒，免杀，防毒，过白，免费更新。 ☎️咨询客服: @cs364bot @chaojiio
🔥 超级 V2 / V3 / MDM 模式 ✅ 支持安卓外链、内链 —— 不管你放外面还是内部链接，都能跑 ✅ 防劫持 + 高防加固 —— 不怕被拦截、不怕被劫持，更稳 ✅ CDN 全球加速 —— 哪都能快速打开，不卡 ✅ 重复下载只算一次 —— 不重复扣量，省钱又放心 🔛随时对接: @cs365bot @Takicloud8
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！ ‼️双向联系: @Kf363bot @dibaqu1
✅✅✅✅✅✅✅✅✅ 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 ☎️合作联系: @cs365bot @NG695
Channel name was changed to «打包MDM开发者账号超级签谷歌防毒苹果签名»
🔥 专注安卓安全：防毒清毒 · APP 封装打包 ⚙️ 报毒定位与深度解析，快速修复与跟进 ⚙️ 防范远控风险与误报，兼顾合规与稳定性 ⚙️ 应用加固并争取白名单收录，降低被拦截概率 ⚙️ 专业团队研发支持，全程为渠道推广保驾护航 💪 🔥 我们拥有丰富经验，针对各类报毒、支付报毒、风险提示、应用闪退等问题，提供高效的修复与排查方案。 🔥 通过对 APK 原包的深度解析与全面混淆加固，为源码与逻辑提供多层防护，减少被杀软识别与特征收录。 🔥 采用行业领先技术和专业检测设备，实现对 App 的实时跟踪监控，掌握收录路径并提供异常预警，及时响应，确保分发稳定。 🔜人工客服: @Kf363bot @iossteven1
🐶 别怕高压，我们抗打又服帖！ 🍎 企业签名稳定如狗狗的腰：弯得下，折不断 🔐 多本独粒证书，怎么拍都不掉签 📱 不挑设备，老安卓新安卓，统统兼容 💻 后台灵活操控，像撸狗一样顺手 🌍 全球 CDN 加速，下载快得狗都追不上 🚫 敏感地区不屏蔽，放心拍，稳住不掉链 🎲 高敏应用？我们早就习惯了重拳出击 📹 ZB | SB | 直播娱乐，全场景通吃 🤖 APK 一键加固，不看源码也能扛大旗 🔒 防红防沙防逆向，技术全套上身，稳得跟狗一样 ⚽️免费测试: @Kf364bot @xcvps
专注海内外APK报毒 苹果签，封装app 安卓APK 谷歌加固免杀 ，专业处理apk报毒🔥（包过，没有处理不了的）专业服务！期待与各大老板共创辉煌！ 🔥免费测试 🌟负责人: @Kf365bot @duo785
来啦 📦 H5 封装 + 企业签名，一站搞定！ 快、稳、省事，只要一个网址，立即帮你变成 APP！ ✨ 服务亮点： 🚀 极速封装：几分钟就能生成专属 APP，不耽误推广节奏 🔒 企业签名保障：安全稳定，长期使用不掉签 🎨 自定义图标 & 启动页：想要风格独一无二？没问题 🌐 安卓 / 苹果双端支持：一个 H5，多端兼容 📈 推广无压力：一键安装，免授信，留存更高 💡 适合场景：活动推广、产品展示、内部测试、个人项目…… 只要你有网址，我就能帮你快速封装上线！ ✔️咨询客服: @Kf363bot @xhgj05
Showing the 12 most recent of 20 posts we hold for @elephantsign0. 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 — 152,122 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.
Named by 8 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.
Named by
Channels on the register whose posts name this channel's handle.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“打包MDM开发者账号超级签谷歌防毒苹果签名” (@elephantsign0), 3 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/elephantsign0.
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.