Channel
@db_svip
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
7,229subscribers
-77 since we began measuring on 19 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002029936211 |
|---|---|
| Type | Channel |
| Usernames | @azugz @db_svip |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 19 August 2026 |
| Last confirmed live | 24 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 24 August 2026 |
| On Telegram | t.me/db_svip |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 24 Aug 2026, 16:34 | 7,229 | -8 |
| 24 Aug 2026, 04:27 | 7,237 | -65 |
| 20 Aug 2026, 22:24 | 7,302 | no change |
| 20 Aug 2026, 22:23 | 7,302 | -1 |
| 20 Aug 2026, 03:00 | 7,303 | -3 |
| 19 Aug 2026, 23:00 | 7,306 | no change |
| 19 Aug 2026, 22:45 | 7,306 | first reading |
11 posts held, back to 24 April 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 3 pagesof 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 11 posts for this entry, the most recent from 16 July 2026. An engagement rate over an empty window would be a number about nothing.
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.
5 reactions across 5 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 100.0% |
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 6 of the 11 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 24 April 2026 to 16 July 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.
Mac 电脑也有木马专门盗TG和钱包了 漫雾近期发现一款 Mac 木马，可能直接盗走mac电脑的 Telegram 登录文件tdata。即使开了二次验证，黑客也可能进入账号、查看聊天记录。木马还会盗取钱包数据，甚至用假钱包替换正版钱包，骗你输入助记词。 防范方法： 不安装来历不明的软件和插件 不在弹窗中输入 Mac 密码 Telegram 开启本地锁屏密码 助记词不要存在电脑、相册或备忘录 大号与钱包尽量不要放在同一台电脑 怀疑中招：立即断网，换安全设备退出所有 TG 会话，并将资产转入全新钱包。不要继续在原电脑输入助记词！
新币担保又又出大新闻，出圈啦。 Gate 用户 jheioff 价值约 170 万美元的加密资产被盗，没想到，Bitrace 顺着链上资金一路追踪，最终又追到了新币担保旗下支付工具 Newpay。 被盗资产包括： 49.96 ETH，746,475 HSK，1,565,982 USDT 据 Gate 公布的记录，攻击者从 7 月 4 日开始，陆续重置受害者的手机号和邮箱、解绑原手机号、修改谷歌验证器及多个密码。 7 月 7 日，攻击者通过多次活体认证和验证码，连续完成5笔提现。受害者直到7月8日才发现资产被转走。 Gate 表示，这并非平台系统性漏洞，所有操作均通过验证且可以追溯。 但真正的大新闻，是这笔钱最后去了哪里。 据 Bitrace 链上调查，攻击者将赃款分批转走后，最终汇入同一个 Newpay User 地址。 Newpay 被指是新币担保旗下的加密支付工具，前身为 Telegram 上的 Non-KYC 钱包 …
⛔️ 2026年电报账号风控逻辑 🧐 近期私信请教TG账号限制类问题的占比明显增多，我也顺手刷了几篇最新的相关报告，总结如下做个科普。 ▎平台更在意 ”行为像不像原主人“ 现在很多平台越来越关注一件事：就是这个账号现在的行为，像不像原来的使用者。 Telegram、Facebook、Instagram、X/Twitter、TikTok 等平台的风控逻辑，其实都在往这个方向进化。 很多异常，并不是在登录那一刻发生，而是出现在后续使用过程中。 账号本身没问题，但只要行为变化太快、太集中，风险就会上升。 ▎平台现在更容易关注的几类变化 • 登录环境变化过大 设备、IP、地区、网络环境突然频繁改变。 • 资料修改过于集中 头像、昵称、简介、密码、邮箱等，一次性修改太多。 • 使用节奏突然改变 原本低活跃账号，突然高频加人、发消息、做业务。 • 使用目的突然变化 原本的普通聊天账号、挂机号，突然变成明显的业务账号。 …
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有黑客团队投稿，最新2026年3月出现了一个针对ios的新漏洞。 如果你用的设备老旧，那么极有可能被攻击。这个漏洞是极度危险拥有极高权限的高价值漏洞。 如果是老款设备iOS 18 分支：建议至少升级到 iOS 18.7.5 或更高版本。 如果是新款设备iOS 26 分支：建议升级到 iOS 26.3 或更高版本。 最近很多人被盗nft，就是有不少高价值用户以为使用老款手机当钱包私钥设备导致的。 安全提醒：iOS Darksword 漏洞瞄准数字货币用户 近期，安全研究人员披露，针对 iPhone 用户的 Darksword 恶意程序再次活跃。攻击者通常通过第三方安装包、企业签名 App 或恶意描述文件传播，一旦用户安装，设备可能被植入后门程序。 据了解，该恶意程序主要针对 Telegram 用户及数字货币投资者，可尝试窃取聊天记录、短信验证码、剪贴板内容以及设备信息，并重点搜集钱包助记词、私钥、交易授权信息等敏感数据。一…
😂 这也太他妈抽象了！
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据《七号会》成员透露，从昨天新闻出来到现在，新币财务一直在持续下款，听说负责下款的手机都快按冒烟了，直到现在还没有停。 这一波，对项目方来说是真正的大考。如果能顺利挺过去，就是扭转乾坤；一旦市场信心回来，未来就是海阔天空，任鸟飞。 担保行业，是否即将迎来新一轮洗牌？
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Pavel Durov 宣布 Telegram for Apple Watch 已经发布。 PS 以后下注，做业务，炒群，跑分就可以用手表操作了，真正实现边跑路边收款！
Telegram 账号被标记"欺诈"或封禁，如何规避？ 现在很多账号出现"Scam"标签、被封禁或被强制注销，核心原因都是触发了风控机制。想长期稳定使用，注意以下几点： 不要频繁私聊陌生人 新号大量主动私聊，最容易被判定异常。 不要群发推广内容 重复发送广告、链接、相同话术，风险极高。 不要频繁加群或拉人 批量操作会被系统识别为营销行为。 不要使用接码号或第三方修改版 异常设备和虚拟号码容易被封。 新号要"养号" 前期以正常聊天为主，节奏自然，避免急于推广。 一句话总结： 行为真实、节奏稳定、不要激进操作。 稳定使用，远比短期冲量重要。 ———————————————————
我把苹果ID借出去后手机彻底变砖：这几种最阴的玩法彻底曝光揭秘 你以为苹果ID只是个普通的登录账号？ 醒醒，它早就成了黑灰产手里最锋利的刀，悄无声息地割着亿万人的钱包和隐私。 它就躺在你的设置里，看起来普普通通。可在地下黑产的灰色江湖里，这串账号密码的价值，比你想象中高出几十倍。 他们不需要闯进你家，不需要偷你手机。只要拿到你的苹果ID，就等于拿到了你整个数字人生的遥控器。 第一招：苹果ID贷，把救命稻草变成夺命绳索 你刷到一条朋友圈广告：“苹果ID可抵押，3分钟放款，利息低至0.5%。” 急用钱的你把账号密码发了过去。对方秒回一个笑脸表情。 然后呢？ 手机突然弹出“Apple ID已被锁定”的提示。紧接着，一条微信跳出来：“想解锁？转5000块，不然我把你相册里那些见不得人的照片全删了，顺便把你价值两万的iPhone彻底锁死。” 你慌了。对方却在屏幕那头键盘敲得清脆。很多人在那一刻才明白，自己亲手把灵魂的备…
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闲鱼不是二手市场，而是一张不断进化的黑产网 你以为闲鱼只是“买卖二手货”的地方。 但对很多人来说，它更像一个套路密集、骗局升级、黑产扎堆的灰色战场。 从最早的假货、私下转账，到后来的到手刀、调包退货，再到如今的AI伪造资料、客服诈骗、跨平台引流…… 闲鱼上的黑产，已经不是“骗一单就跑”那么简单了，而是形成了一套持续进化、不断翻新的收割链条。 而最可怕的是：平台规则永远慢半拍，骗子却永远比你快一步。 一开始，只是山寨和假货 最早那几年，闲鱼上的套路并不复杂。 山寨化妆品、仿牌衣服、翻新电子产品…… 这些东西披着“二手闲置”的外衣，实际上就是低成本骗钱。 那时候最常见的操作，就是先把你引到平台外，再以“方便沟通”“节省手续费”为理由，骗你私下转账。 钱一到手，人立刻消失。 这时候的闲鱼黑产，还只是“初级版”。 后来，套路开始职业化了 随着用户越来越多，骗子也开始升级打法。 比如最经典的到手刀： 先高价拍下你…
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#干货分享: 小妙招 ～ 关于忘记了之前的苹果id 或者之前的id密码找不到了 可以使用这个方法更新软件 按图操作即可
Showing the 11 most recent of 11 posts we hold for @db_svip. 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 — 1,160,200 of 1,599,580entries 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 1 registered channel — 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.
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 24 August 2026 — this entry's latest reading, not the date you are reading this.
“灰灰男之家【阿祖担保】 防骗技巧 黑灰产揭秘 热门话题 网络安全 实时新闻 最新技术 风控讨论 打粉姿势 出海知识” (@db_svip), 7,229 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/db_svip.
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.