#柬埔寨资讯:打击网络诈骗冻结逾3亿美元,近3万人被捕 柬埔寨当局表示,2025年7月至2026年8月31日期间,全国打击网络诈骗行动取得进展: - 冻结涉案银行账户资金逾3亿美元; - 排查832处可疑地点,突袭663个窝点,控制86个大型诈骗园区; - 逮捕来自39个国家和地区的近3万名嫌疑人; - 解救来自38个国家和地区的2.2万多名外籍人员,并启动遣返程序; - 将涉及29个国家和地区、3927名被告的446起案件移交法院审理; - 对27家涉嫌涉诈赌场采取法律行动,其中18家被吊销执照,9家被暂停营业。 当局称,目前柬埔寨境内已没有大规模运营的诈骗园区,但部分犯罪活动已转移至出租屋、客栈、公寓、民宅、车辆和咖啡馆等隐蔽场所。 此外,相关部门已对4起涉嫌与网络诈骗有关的案件立案调查,涉及15名政府官员,涵盖司法、移民、警察、外交和军事等部门。 柬埔寨打击网络诈骗委员会(CCOS)呼吁公众积极举报可疑诈骗地点及…

Channel
东南亚热点新闻
@cg01021
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
22,114subscribers
-1,843 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002521463229 |
|---|---|
| Type | Channel |
| Username | @cg01021 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/cg01021 |
Topic
National 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 |
|---|---|---|
| 19 Sept 2026, 01:21 | 22,114 | -26 |
| 16 Sept 2026, 15:57 | 22,140 | -26 |
| 14 Sept 2026, 21:20 | 22,166 | -31 |
| 13 Sept 2026, 08:00 | 22,197 | -65 |
| 11 Sept 2026, 09:36 | 22,262 | -178 |
| 8 Sept 2026, 17:36 | 22,440 | -468 |
| 5 Sept 2026, 11:37 | 22,908 | -122 |
| 3 Sept 2026, 10:46 | 23,030 | -27 |
| 2 Sept 2026, 05:27 | 23,057 | -4 |
| 1 Sept 2026, 06:26 | 23,061 | -23 |
| 31 Aug 2026, 03:52 | 23,084 | -25 |
| 30 Aug 2026, 01:18 | 23,109 | -39 |
| 28 Aug 2026, 23:25 | 23,148 | -12 |
| 28 Aug 2026, 02:19 | 23,160 | -15 |
| 27 Aug 2026, 04:34 | 23,175 | -19 |
| 26 Aug 2026, 04:26 | 23,194 | -27 |
| 25 Aug 2026, 04:44 | 23,221 | -32 |
| 24 Aug 2026, 01:27 | 23,253 | -48 |
| 22 Aug 2026, 07:35 | 23,301 | -309 |
| 20 Aug 2026, 18:55 | 23,610 | first reading |
Engagement
190 posts held, back to 6 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 71 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.51%
- avg views ÷ 22,114 subscribers
- Avg views / post
- 333
- 75 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 75
- of 190 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.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 190 (6 August 2026 – 3 September 2026) |
| Views total | 25,002 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 14:40 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
- Video runtime
- 48m 00s
- Average length
- 47s
Measured directly from 61 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
2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 1 | 50.0% | |
| 🔥 | 1 | 50.0% |
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 2 of the 190 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 190 most recent posts we hold, published 6 August 2026 to 3 September 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
柬埔寨称打击诈骗见效 小型团伙增多 9月2日,柬埔寨当局表示,国内多处大型诈骗园区已被清理,但小型、分散的诈骗团伙开始在城市中出现,显示相关犯罪活动正转变方式。 本周,金边一处疑似诈骗窝点被突袭,18名孟加拉国人被捕;西港警方突查3栋公寓,逮捕10名中国人,缴获120多台电子设备,其中4人涉嫌网络诈骗;国公省七星海的行动则拘留34名嫌疑人,并缴获数百台电子设备。 反诈骗委员会称,过去一年已清查600多个涉诈地点,拘留来自39个国家和地区的近3万名嫌疑人。自2025年7月以来,当局已冻结超过3亿美元涉诈资金,并立案调查440多起案件。 委员会负责人蔡西那烈表示,诈骗集团正转移至客栈、公寓、车辆和咖啡馆等规模更小、更加分散的地点。 哈佛大学访问学者、东南亚跨国犯罪专家雅各布·西姆斯指出,关闭实体园区并不意味着相关网络被彻底摧毁。现有迹象更显示,诈骗产业正在“受扰后调整”,而非全面瓦解。
#老挝资讯:乌多姆赛省捣毁3处网赌电诈窝点,抓获52人 老挝媒体9月2日报道,8月25日至27日,乌多姆赛省警方在孟昏县、巴本县开展行动,捣毁3处涉网赌电诈窝点,抓获52名嫌疑人。 其中,中国籍25人、越南籍17人、老挝籍7人,另有马来西亚、缅甸、土耳其籍各1人。警方现场查获台式电脑27台、笔记本电脑1台、手机21部及3套星链设备。 警方称,该团伙此前在博胶省金三角经济特区活动,8月初转移至乌多姆赛省,并租用16间房屋作为窝点,月租约1亿基普(约4450美元)。窝点于8月17日启用,8天后被查处。 目前,警方正追查幕后组织者及其他涉案人员,并对查扣设备和资金链展开调查。
在 Telegram 里找内容,先打开 SOSO 搜搜。 频道、群组、帖子、贴纸都可以搜;也可以从发现页继续浏览。
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🇱🇰 斯里兰卡批准与中国签署移民管理合作谅解备忘录 斯里兰卡内阁已批准与中国签署关于移民管理合作的双边谅解备忘录,进一步加强两国在签证、移民管理及出入境事务等领域的合作。 根据内阁决定,该备忘录将由斯里兰卡移民与出入境事务部和中国国家移民管理局签署。协议旨在为两国官员及公民开展商务、投资、旅游、科技等活动提供便利。 双方还将加强官方信息和情报交流,深化在打击人口贩运、组织偷渡及其他跨国有组织犯罪方面的合作。 此外,两国计划为移民管理部门官员举办培训研讨会,并开展能力建设项目,以提升移民管理和执法合作水平。 目前,备忘录草案已获斯里兰卡外交部、海外就业与旅游部及总检察长批准。
#柬埔寨资讯:巴域查获579件电脑设备和525部手机,涉嫌走私货物移交海关 9月1日,柬埔寨柴桢省当局对巴域市甘达村 Borey El Dara 社区一处住宅解除封条并展开检查。行动由柴桢省副省长门恩带队,警方、巴域市政府及海关人员共同参与。 执法人员在屋内发现大量电子设备,包括台式电脑、机箱、显示器、路由器、键盘、电视、摄像头和音响等。 海关清点后确认,涉嫌走私的电脑类设备共579件,包括笔记本电脑、LED显示器及多种一体机;另有各类手机525部,涉案货物合计1104件。 目前,涉案货物已移交巴域海关与关税办公室暂存,等待柬埔寨海关总署依法处理。其余设备由房屋业主管理,未经许可不得移动或使用。 8月31日,柴桢省联合执法部门曾对该社区4处联排住宅进行检查,并在其中一处发现大量疑似走私电子设备,随后予以封存。
柬埔寨内政部召开会议,筹备续签柬中执法合作协议 今天上午,柬埔寨内政部国务秘书宋坡主持召开会议,检查柬中执法合作成果总结大会筹备情况,并就签署柬埔寨内政部与中国公安部关于“继续推进执法合作年”的新一轮工作计划进行准备。 柬埔寨内政部多名国务秘书、副国务秘书、副总警长、副总局长,以及相关部门负责人和专业官员出席会议。
金边桑园区突查一高层公寓:查获两处涉嫌网络诈骗窝点 昨日,金边市桑园区联合工作组突击检查了位于巴萨河分区的一栋公寓大楼。 行动期间,工作组共排查来自七个国家的140名人员,现场确认外籍人员均持有合规证件。检查过程中,执法人员在公寓9楼和12楼的两间客房内发现两处涉嫌网络诈骗的窝点,并查扣一体机电脑42台、手机13部及路由器等设备。 据悉,相关窝点涉嫌从事假冒产品销售及伪造公文等违法活动。目前,涉案物品已移交金边市警察局,两间涉案房间也已依法查封。 值得注意的是,目前官方通报中尚未提及有人员被当场逮捕。至于相关人员是提前离开,还是案件仍在进一步调查,暂时尚无确切消息,仍有待警方后续公布。
#泰国资讯:曼谷警方逮捕一名涉嫌吸毒后持刀闹事的中国公民 据泰国警方通报,曼谷素提山警察局巡逻队于昨日逮捕一名涉嫌吸食毒品后出现精神异常、持刀威胁他人的中国籍男子。 警方称,该男子姓王(MR. WANG)。事发时,他疑似因吸食毒品导致行为失控,不仅持刀试图自残,还对周围人员进行威胁。 警方接报后迅速赶到现场,并使用电击枪将其控制,随后依法逮捕。初步调查显示,该男子还涉嫌在泰国逾期居留(Overstay)。 目前,警方已安排其接受必要的医疗检查,并将根据调查结果依法处理。
#菲律宾资讯:严打网络犯罪,前7个月抓获766人、救出149人,81宗案件定罪 9月1日,菲律宾国家警察反网络犯罪组在奎松市克拉梅营公布数据:2026年1月至7月,警方共开展818次行动,抓获766名嫌疑人,救出149名受害者,另有81宗案件被判定罪。 网络购物诈骗仍是菲律宾最常见的网络犯罪类型之一。 警方同时公布了一起非法交易已实名SIM卡的案件。8月24日,执法人员在布拉干省奥班多展开诱捕行动,抓获一名26岁男子,并查获约400张已完成实名登记的SIM卡。 警方此前在网络巡查中发现,有人通过社交媒体公开出售已实名SIM卡和已认证的电子钱包账户。这些账号一旦流入黑市,可能被用于网络诈骗等违法活动。 针对实名SIM卡被转卖的问题,警方建议修改现有登记制度,包括加强生物识别验证、限制个人持有SIM卡数量,并收紧SIM卡转让和重新登记监管。 警方建议每人最多持有5张SIM卡,以减少实名SIM卡被批量买卖、转手后用于网络犯…
#老挝资讯|2026年以来已抓获超6200名电诈嫌疑人 自2026年初以来,老挝持续加大对网络犯罪和电信网络诈骗的打击力度,已累计抓获来自多个国家的嫌疑人至少6200名,其中中国籍嫌疑人占多数。 仅今年8月,老挝全国就抓获近900人。8月29日,警方突查万象市赛色塔县两处地点,抓获139人,并查获大量涉案电子设备及违禁品;8月8日,警方在塔銮湖专区开展清查行动,捣毁多个涉嫌网络诈骗和网络赌博的团伙,抓获261人。 此前,警方于7月18日开展行动,一次性抓获589人。目前,相关案件仍在进一步审讯和调查中,警方正追查幕后组织者及涉案网络。
Showing the 12 most recent of 190 posts we hold for @cg01021. 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
Named by 2 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.
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
@cg01021 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, 29 August 2026 – 4 September 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚热点新闻” (@cg01021), 22,114 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/cg01021.
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.