非洲大规模电诈清剿 1462人落网、追回超1亿美元,乌干达曾一次抓获365名中国人 10月22日,国际刑警组织公布“塞伦盖蒂行动第三阶段”打击成果:来自21个国家的执法机构联合行动,共抓获1462名网络犯罪嫌疑人,打击10909个恶意网络,追回超过1.05亿美元非法资金,涉及的诈骗及其他网络犯罪造成超过3.85亿美元经济损失。 更值得关注的是,乌干达成为此次行动的重点地区之一。国际刑警组织披露,当地警方捣毁两个跨国诈骗团伙,抓获365名外国籍嫌疑人。这些团伙虽然将窝点设在非洲,却主要针对亚洲受害者,通过虚假投资平台和退休金投资骗局骗取钱财。 🌍欢迎订阅频道 @dnygplm 💯免费投稿爆料 @mili1477

Channel
东南亚全网通讯/曝光/悬赏
@dnygplm
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
61,726subscribers
+283 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002148755371 |
|---|---|
| Type | Channel |
| Username | @dnygplm |
| Description | 🍉亚太吹牛群 @mryfljlq789 🍉PG交流群 @PG666h 广告赞助商 🏧 atmty1.me #曝光 #新闻 #黑料 #黑公司 #吃瓜 #柬埔寨 #菲律宾 #缅甸 #迪拜 #特区 #亚太 👨👨👧👧 投稿商务: @mili1477 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 22 October 2026 |
| Measurements held | 46 |
| Confirmed unchanged | 1 time, most recently 22 October 2026 |
| On Telegram | t.me/dnygplm |
Topic
International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 67% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Oct 2026, 00:40 | 61,726 | -360 |
| 20 Oct 2026, 22:38 | 62,086 | -115 |
| 19 Oct 2026, 20:30 | 62,201 | -344 |
| 18 Oct 2026, 21:15 | 62,545 | -914 |
| 17 Oct 2026, 22:38 | 63,459 | -118 |
| 16 Oct 2026, 19:21 | 63,577 | -81 |
| 15 Oct 2026, 22:08 | 63,658 | -142 |
| 14 Oct 2026, 21:30 | 63,800 | -267 |
| 13 Oct 2026, 11:45 | 64,067 | -297 |
| 9 Oct 2026, 07:20 | 64,364 | -376 |
| 4 Oct 2026, 17:40 | 64,740 | -537 |
| 26 Sept 2026, 18:55 | 65,277 | -768 |
| 19 Sept 2026, 13:14 | 66,045 | -390 |
| 17 Sept 2026, 04:18 | 66,435 | -473 |
| 15 Sept 2026, 01:22 | 66,908 | -585 |
| 13 Sept 2026, 07:40 | 67,493 | +6,074 |
| 11 Sept 2026, 11:59 | 61,419 | +21,837 |
| 8 Sept 2026, 17:59 | 39,582 | +7,855 |
| 5 Sept 2026, 11:36 | 31,727 | -944 |
| 3 Sept 2026, 13:41 | 32,671 | first reading |
Engagement
1,242 posts held, back to 7 August 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 164 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.69%
- avg views ÷ 61,726 subscribers
- Avg views / post
- 1,660
- 559 posts measured
- Reaction rate
- 1.49%
- reactions ÷ views · ER floor
- Posts in window
- 559
- of 1,242 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. It is computed over the 371 of 559 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 October 2026 |
|---|---|
| Posts held | 1,242 (7 August 2026 – 22 October 2026) |
| Views total | 929,595 |
| Reactions total | 10,651 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Oct 2026, 12:41 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
- ≈35,600
- Videos
- ≈6,030
- Links
- ≈10,600
Lifetime counters from Telegram’s own channel header, read 22 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 4h 00m
- Average length
- 1m 06s
Measured directly from 218 videos 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
22,596 reactions across 770 posts, in 9 distinct kinds. The most used accounts for 20.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 4,543 | 20.1% | |
| ❤ | 4,536 | 20.1% | |
| 👍 | 4,534 | 20.1% | |
| 😁 | 4,505 | 19.9% | |
| 🎉 | 4,444 | 19.7% | |
| ⚡ | 14 | 0.062% | |
| 🤩 | 8 | 0.035% | |
| 👏 | 6 | 0.027% | |
| 🥰 | 6 | 0.027% |
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 770 of the 1,000 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 22,596 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 22 August 2026 to 22 October 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.
Recent posts
#巴基斯坦资讯:伊斯兰堡网络投资诈骗案宣判,3人喊各获刑7年,涉案金额近1940万卢比 巴基斯坦伊斯兰堡近日发生的一起网络投资诈骗案迎来判决。巴基斯坦国家网络犯罪调查局(NCCIA)伊斯兰堡分局调查的一宗案件中,3名被告因通过冒充外国私人银行的虚假手机应用程序实施投资诈骗,被法院分别判处7年监禁,并合计罚款25万巴基斯坦卢比。 调查显示,涉案人员利用伪装成外国私人银行的虚假手机应用程序,向受害者兜售投资项目,以投资获利为诱饵,诱使其投入资金,最终造成重大经济损失。 案件由NCCIA伊斯兰堡分局副督察 Shehroz Riaz 负责调查。调查人员通过开展案件调查、收集相关证据并向法院提交材料,为案件定罪提供了支持。法院在完成相关司法程序后,对3名被告作出上述判决。 🌍欢迎订阅频道 @dnygplm 💯免费投稿爆料 @mili1477
#国内资讯:辽宁省葫芦岛警方打掉一网络引流裸聊敲诈犯罪团伙,抓获4名嫌疑人 葫芦岛公安10月21日通报消息:近日,葫芦岛市公安局依托群众举报线索,成功打掉以唐某为首的实施网络引流、裸聊敲诈的新型涉恶犯罪团伙,抓获犯罪嫌疑人4名。 经查,自2026年5月起,该犯罪团伙利用境外通讯软件承接裸聊敲诈业务,在骗取获取被害人隐私视频影像后,窃取被害人社交群组信息,以曝光不雅隐私材料相要挟,采取网络“软暴力”方式实施敲诈勒索,逼迫被害人转账付款,严重扰乱网络空间秩序。 接到相关线索后,葫芦岛市公安局迅速开展核查研判,固定犯罪证据,组织警力开展集中抓捕,将该团伙4名成员全部抓获归案。 目前,4名犯罪嫌疑人已被依法采取刑事强制措施,案件正在进一步侦办中。 PS:这个色敲应该算电诈吧 搞不懂通报为什么会写了个涉恶🤣 🌍欢迎订阅频道 @dnygplm 💯免费投稿爆料 @mili1477
#网友投稿:东南亚扫诈风暴持续,回国找工作竟然发现了自己的天命职业! 上个月刚回国,本想着洗心革面、重新做人,到处投简历找工作。没想到今天刷到一个招聘信息:飞机杯厂招试玩员,每天试玩10小时,日薪500元! 看到工资的那一刻,我的眼睛亮了,嘴角歪了,感觉这简直就是老天爷给我安排的铁饭碗! 一天500,一个月干满30天就是15000,包吃包住不知道,但至少每天要爽上天!可惜啊,想当年在东南亚天天加班,没日没夜地奋斗,一天打飞机10多次,如今好不容易看到这份工作,却发现自己已经力不从心了。 看着招聘信息,我陷入了沉思:当初要是管住自己的手,现在是不是还能靠双手发家致富?如今才明白,年轻时不懂节制,老现在连500块一天的福报都接不住 🌍欢迎订阅频道 @dnygplm 💯免费投稿爆料 @mili1477
#巴基斯坦资讯:拉合尔59名网络诈骗嫌疑人被捕,警方查获大量电脑及手机设备 10月22日报道:近日,巴基斯坦国家网络犯罪调查局(NCCIA)拉合尔分局开展专项执法行动,打击涉嫌针对外国公民及在线商业平台实施诈骗的犯罪团伙,共逮捕59名嫌疑人,其中包括52名男性和7名女性。 调查显示,涉案人员涉嫌通过多种方式实施网络及金融诈骗。一方面,嫌疑人冒充电信公司工作人员,以手机套餐升级、网络服务包及其他通信服务为诱饵,诱骗受害者付款;另一方面,部分人员涉嫌非法截留、转移与在线外卖平台相关联的餐饮商户资金,从中谋取非法利益。 行动中,执法人员共查获61台笔记本电脑、21套计算机系统以及52部手机。调查人员正对相关电子设备及数据展开进一步核查,以追查涉案账户、资金流向及其他可能参与犯罪的人员。 巴基斯坦执法部门指出,网络诈骗及非法转移商业资金的行为,不仅会给外国公民和当地商户造成经济损失,也会对数字商业环境及金融体系的安全与信誉…
#柬埔寨资讯:警方破获一起绑架勒索案,成功营救1名中国籍受害者,逮捕4名中国籍嫌犯 10月19日下午,一名中国籍男子在柬埔寨西哈努克省(西港)遭犯罪分子绑架。接报后,柬埔寨警方迅速展开调查,并于10月21日凌晨在干拉省实施抓捕行动,成功营救受害者,逮捕4名中国籍犯罪嫌疑人。 据悉,10月19日下午,中国公民陈志斌(音译,Chen ZHIBIN)在西港第二区第三村遭一伙身份不明的人员绑架。 案件发生后,柬埔寨国家警察总署刑警局联合西哈努克省警察局及干拉省警察局展开调查。警方通过调查取证,逐步锁定涉案嫌疑人的身份及藏匿地点,并迅速部署抓捕行动。 10月21日凌晨3时,警方在干拉省一处地点展开行动,成功逮捕4名中国籍犯罪嫌疑人,分别为: HUANG QIAN(黄迁),男,31岁; HUANG HUI(黄辉),男,38岁; HUANG HAI(黄海),男,32岁; LUO MIN(罗敏),男,37岁。 此次行动…
🇨🇳点个陌生链接,USDT被盗!湖南湘潭公安赴娄底捣毁一盗U窝点,抓获3人! 湘潭县公安局10月19日通报:近日,青山桥派出所联合湘潭县公安局刑侦大队、网安大队及乌石派出所,奔赴娄底市娄星区,成功捣毁一处利用恶意链接盗取虚拟货币的涉诈窝点,抓获3名犯罪嫌疑人。 9月4日,青山桥派出所接到辖区群众曹某某报警,称其在虚拟币QQ群内点击陌生链接后,其账户内USDT币(价值6814元)被盗。 经侦查查明:自8月以来,周某某、陈某、梁某3人为牟取非法利益,通过“Telegram”APP获取恶意病毒链接,专门搜寻QQ、微信内虚拟币交流群,在群内发送恶意链接,伺机窃取点击者账户内虚拟币牟利。 目前,3名嫌疑人均因涉嫌盗窃罪被依法刑事拘留,案件正在进一步办理中。 🌍欢迎订阅频道 @dnygplm 💯免费投稿爆料 @mili1477
🇦🇪 阿联酋主导“幽灵对抗”跨国行动 联合30国打击AI电诈与洗钱 联合国毒品和犯罪问题办公室执行主任莫妮卡·朱马表示,阿联酋正联合30个国家、13家私营企业及2个国际组织,发起代号为“幽灵对抗”的专项行动。 该行动旨在联合多国执法部门、科技企业与金融机构,重点打击利用人工智能(AI)实施的跨国诈骗、数字金融犯罪及网络勒索。 阿联酋内政部强调,将通过实时情报共享与跨国执法协作,切断犯罪分子利用加密货币和数字平台进行的洗钱通道。 🌍欢迎订阅频道 @dnygplm 💯免费投稿爆料 @mili1477
特朗普宣布打击东南亚电诈网络 拦截逾8亿美元涉案加密货币 美国总统特朗普在白宫网络犯罪专题活动上宣布,美执法部门针对活跃于缅甸、柬埔寨、老挝和菲律宾的跨国犯罪集团展开打击行动,重点打击“杀猪盘”、钓鱼网站及勒索软件等网络诈骗。 行动已拦截约8.33亿美元涉案加密货币,查封503个诈骗网站,并向近9000名受害美国公民发出警示通知。白宫借此展示了美方拦截海外加密资产及跨国打诈的阶段性战果。 🌍欢迎订阅频道 @dnygplm 💯免费投稿爆料 @mili1477
#缅甸资讯:莱卡镇查获电信诈骗及网络赌博设备 3名中国籍男子被捕 据当地消息,10月21日上午,安全部队联合搜查组在南掸邦高原莱卡镇(Laihka)霍蓬村(Hopong)附近开展排查,查获一批涉嫌用于电信诈骗和网络赌博活动的设备,并逮捕3名中国籍男子。 此前,安全部队接获举报,称莱卡镇内有人从事电信诈骗及网络赌博活动,随后展开联合排查。当天上午10时40分左右,搜查人员在莱卡镇东南方向约30公里处的霍蓬村附近发现相关临时建筑及设备。 现场共有一间工棚、一间大型宿舍、一间小型宿舍和一间炊事房。搜查人员还查获Starlink卫星互联网设备3台、笔记本电脑8台、移动电源4台、手机20部、网络交换机7台、路由器3台、大型发电机1台,以及塑料椅30张、折叠桌4张和其他配套设备。 随后,执法人员对周边地区进行进一步清查,并抓获3名中国籍男子。 有关部门表示,将对被捕人员进行讯问,并依法追究相关责任;查获物资将依照相关程序处理…
#群友爆料:拜林小苹果会所,现改名金桔会所。 主管 #童哥、#建国、#炮哥 三人利用职务便利,收取压榨女孩子卖身的血汗钱,卖DU品给我们小妹,以此来控制女孩子,在公司为所欲为,想睡哪个小妹就睡谁。如果不听他们的话,在公司上不到班,很难立足。 现在,三人背着公司,自己在对面经营一家怡红院会所,盗取公司客户资源和女孩子信息,为自己会所所用,公司现在管理松散,还不知道。 公司的女孩子大多是从外面骗来,然后他们想尽办法让女孩子吸DU、卖DU品给女孩子,让女孩子欠钱。想离开,必须把欠的钱还清。公司上班、住宿、生活都要给女孩子算钱,连避孕套都要小妹自己出钱买。他们的,大姨妈期间不能上班,想借50块买卫生巾都要申请不给借。 如此丧尽天良之人,天理不容!大家早日认清此三人的真面目,迟早会遭到报应。 🌍欢迎订阅频道 @dnygplm 💯免费投稿爆料 @mili1477
柬埔寨28家赌场被立案调查 官方:网赌与电诈同等打击 昨天,柬埔寨国家打击网络诈骗委员会秘书长蔡西那烈表示,当局正将网赌与电诈同等打击,目前已有28处赌场因涉嫌网络诈骗被立案调查。 统计显示,2025年7月至2026年9月底,柬警方共查处910处涉诈窝点(含86个大型园区),移送529案,指控并羁押5,778名多国籍嫌犯,依法遣返22,892名受骗或非法居留的外籍人员。 此外,为切断犯罪资金链,法院已裁定冻结逾3亿美元银行存款及价值数亿美元的动产与不动产。 🌍欢迎订阅频道 @dnygplm 💯免费投稿爆料 @mili1477
Showing the 12 most recent of 1,242 posts we hold for @dnygplm. 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.
Mentions
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@dnygplm named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 9 posts, 4 October 2026 – 21 October 2026
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 22 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚全网通讯/曝光/悬赏” (@dnygplm), 61,726 subscribers as measured 22 October 2026. Telegram Register, tgregister.com/channel/dnygplm.
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.