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Channel

东南亚新闻网【悬赏/曝光/吃瓜】

@DSJ067

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

41,416subscribers

-3,910 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-1001362984386
TypeChannel
Username@DSJ067
Description东南亚新闻网(吃瓜、曝光)频道专注于:全球全网华人的最新动态资讯,时事热点分享,让你阅遍全球全网海外华人大小事件。 要点资讯,安危事件,曝光爆料,时事新闻,社会热点推送。 你的关心,才是头条。 📮投稿爆料合作联系 @KL066 #迪拜 #泰国 #菲律宾 #柬埔寨 #缅甸 #中国 #老挝 #新闻资讯 #博彩 #狗推
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/DSJ067

Topic

National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 45% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. They sit inside a group of 4 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@DSJ067/17002 · this entry7 Aug 2026, 14:29 UTC@dubai4/296907 Aug 2026, 14:37 UTC1.008 minutes
@dubai4/296927 Aug 2026, 14:55 UTC@DSJ067/17004 · this entry7 Aug 2026, 15:03 UTC1.008 minutes
@DSJ067/16992 · this entry7 Aug 2026, 13:40 UTC@dubai4/296957 Aug 2026, 15:09 UTC1.0088 minutes
@DSJ067/17005 · this entry7 Aug 2026, 15:06 UTC@dubai4/296987 Aug 2026, 15:14 UTC1.008 minutes
@DSJ067/17003 · this entry7 Aug 2026, 14:39 UTC@dubai4/297047 Aug 2026, 15:49 UTC1.0070 minutes
@DSJ067/17001 · this entry7 Aug 2026, 14:24 UTC@dubai4/297037 Aug 2026, 15:39 UTC0.9075 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@dubai46 (6/6 hand-verifiable sample passed)0.9839 minutesthis entry (5–1)
@FLB0025 (5/5 hand-verifiable sample passed)0.9711 minutesthis entry (5–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 1 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 12 comparable posts for this entry, running 7 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 4, the earliest publisher we hold is @DSJ067 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

41,41645,32643,3717 August 2026 — 45,326 subscribers7 August 2026 — 45,323 subscribers8 August 2026 — 45,247 subscribers9 August 2026 — 45,106 subscribers10 August 2026 — 44,961 subscribers11 August 2026 — 44,886 subscribers12 August 2026 — 44,796 subscribers14 August 2026 — 44,656 subscribers15 August 2026 — 44,557 subscribers17 August 2026 — 44,377 subscribers18 August 2026 — 44,279 subscribers19 August 2026 — 44,163 subscribers20 August 2026 — 44,080 subscribers21 August 2026 — 44,036 subscribers22 August 2026 — 43,941 subscribers24 August 2026 — 43,762 subscribers25 August 2026 — 43,652 subscribers26 August 2026 — 43,596 subscribers27 August 2026 — 43,562 subscribers28 August 2026 — 43,500 subscribers29 August 2026 — 43,433 subscribers30 August 2026 — 43,352 subscribers31 August 2026 — 43,233 subscribers1 September 2026 — 43,154 subscribers2 September 2026 — 43,060 subscribers4 September 2026 — 42,921 subscribers7 September 2026 — 42,644 subscribers10 September 2026 — 41,953 subscribers12 September 2026 — 41,733 subscribers14 September 2026 — 41,600 subscribers16 September 2026 — 41,521 subscribers18 September 2026 — 41,416 subscribers7 August 202618 September 2026
32 measurements spanning 42 days, net -3,910. 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 40,830–45,913 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 12:1841,416-105
16 Sept 2026, 03:4041,521-79
14 Sept 2026, 08:0141,600-133
12 Sept 2026, 16:1541,733-220
10 Sept 2026, 13:5741,953-691
7 Sept 2026, 11:3742,644-277
4 Sept 2026, 14:5742,921-139
2 Sept 2026, 23:4743,060-94
1 Sept 2026, 18:3443,154-79
31 Aug 2026, 15:1243,233-119
30 Aug 2026, 13:4443,352-81
29 Aug 2026, 16:0443,433-67
28 Aug 2026, 13:4443,500-62
27 Aug 2026, 14:2543,562-34
26 Aug 2026, 13:4243,596-56
25 Aug 2026, 12:1243,652-110
24 Aug 2026, 10:2343,762-179
22 Aug 2026, 18:5643,941-95
21 Aug 2026, 06:5744,036-44
20 Aug 2026, 07:2244,080first reading

Engagement

985 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 96 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.267%
avg views ÷ 41,416 subscribers
Avg views / post
110
541 posts measured
Reaction rate
0.502%
reactions ÷ views · ER floor
Posts in window
541
of 985 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 90 of 541 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 27 September 2026
Posts held985 (7 August 2026 – 27 September 2026)
Views total59,777
Reactions total99
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 16:38 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
≈15,200
Videos
≈3,840
Links
≈9,460

Lifetime counters from Telegram’s own channel header, read 27 September 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
3h 49m
Average length
47s

Measured directly from 294 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

189 reactions across 166 posts, in 8 distinct kinds. The most used accounts for 47.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤9047.6%
👍2915.3%
🥰2312.2%
🤩189.52%
🎉126.35%
👏94.76%
🔥73.70%
💯10.529%

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 170 of the 985 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 189 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 985 most recent posts we hold, published 7 August 2026 to 27 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

27 Sept 2026, 15:12 UTC507 viewsread 27 September 2026
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#群友投稿:人在东南亚待久了,才会越来越明白一件事: 成年人的世界,没有那么多浪漫,更多的是现实。刚来的时候,总觉得换一个地方生活,无非就是换个环境,换群人,重新开始。真正待下来以后才发现,异国他乡不是旅游。 旅游的时候,看的是风景、酒店、美食和夜生活;真正留下来生活以后,看见的却是生意、人情、压力、收入,还有每天必须解决的各种问题。 在国内的时候,很多事情有人情、有关系、有熟悉的环境。到了东南亚,一切都要重新适应。语言要适应,环境要适应,做事的方式要适应,人与人之间的相处方式也要适应。 有时候一个人坐在异国的街头,看着来来往往的人,会突然觉得:原来成年人的安全感,从来不是别人给的,是自己一点一点挣出来的。 所以现在的我,谈恋爱也好,交朋友也好,做事情也好,都会比以前现实一些。 不是变得冷漠了,而是经历得多了以后,终于明白:感情可以有,但不能没有分寸;梦想可以有,但不能没有行动;野心可以有,但银行卡里最好也得有点东西…

27 Sept 2026, 14:41 UTC8 viewsread 27 September 2026
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#巴基斯坦资讯:卡拉奇NCCIA突袭两处涉嫌诈骗呼叫中心,73人被带走调查 9月27日,巴基斯坦国家网络犯罪调查局(NCCIA)卡拉奇分局对位于卡拉奇Tariq Road、PECHS Block 6的两处涉嫌从事诈骗活动的呼叫中心展开突袭行动。 据当地媒体报道,两处呼叫中心均隐藏在住宅别墅内运营,现场共有73名人员被带走调查。涉案人员包括客服代理、客服主管、运营负责人以及IT工作人员等。 执法人员在现场查获一套正在运行的CRM系统,其中存有客户信息及呼叫中心运营数据,同时扣押其他电子设备和数字证据。相关设备及数据已被送交进行进一步的取证和技术分析。 初步调查显示,涉案呼叫中心涉嫌以Zain Communications名义运营,并被指通过虚假金融服务等方式,将美国公民作为目标。据报道,相关人员涉嫌以新信用卡、低利率金融服务等名义实施诈骗。 目前案件已立案调查,相关FIR编号为92/2026及93/2026。其中一名涉案运…

27 Sept 2026, 14:30 UTC≈2,710 views1 reactionsread 27 September 2026
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#网友投稿:老挝特内的壹号公馆二期现在检查,现场已经通知跑出来了很多人了 目前只有治安局,没听到有老挝警察过来,还在办公的赶紧跑吧 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

👍1

27 Sept 2026, 14:10 UTC≈3,600 viewsread 27 September 2026
Video

柬埔寨波贝洪水持续上涨 据现场目击者称,柬埔寨波贝市(Poipet City)近日积水不断上涨,有人拍到一名中国公民推着一辆豪车,在积水中艰难前行。 目前当地积水情况仍在持续,照这个趋势发展下去,汽车可能都快派不上用场了,船只或将成为接下来的主要出行工具。 昨天开豪车,今天推豪车,明天可能就得坐船了。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

27 Sept 2026, 13:38 UTC≈6,820 viewsread 27 September 2026
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#马来西亚资讯:森林城市诈骗窝点被端后,住宅内再现大批疑似诈骗设备 9月27日,据新加坡亚洲新闻台(CNA)报道,马来西亚柔佛州森林城市近期再次发现疑似诈骗活动迹象。 此前,柔佛警方于7月15日展开大规模行动,突查森林城市27套公寓及5栋别墅,捣毁两个涉嫌网络诈骗的团伙,共抓获335人,其中包括309名中国籍、19名印尼籍、4名缅甸籍及3名马来西亚籍人员。 警方当时查获313台电脑、1557部手机、17台笔记本电脑以及其他设备。警方称,涉案团伙涉嫌从事虚假加密货币投资、网络“杀猪盘”等诈骗活动,受害目标主要在海外。 然而,警方大规模行动后,森林城市内仍被发现疑似诈骗设备。 据CNA报道,当地一名房东发现出租公寓的每月电费突然超过1000令吉,认为情况异常,随后安排房产中介上门检查。 中介进入房屋后发现,屋内摆放着大量技术设备,怀疑租客可能利用该住宅从事诈骗活动。随后,中介终止租约并要求租客搬离,同时将相关情况报告警方。…

27 Sept 2026, 13:22 UTC≈4,380 viewsread 27 September 2026
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#巴基斯坦资讯:“拉合尔非法呼叫中心被查,21人被捕, NCCIA Lahore与Faisalabad在拉合尔DHA Phase 6突袭一处涉嫌非法呼叫中心。 抓获21名嫌疑人,查扣29部手机和10台电脑。初查显示,该团伙涉嫌利用虚假社交账号、SIM卡及VPN开展线上任务/投资诈骗。目前嫌疑人国籍、涉案金额及受害者情况尚未披露,案件仍在调查中。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

27 Sept 2026, 13:13 UTC7 viewsread 27 September 2026
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汇旺涉嫌洗钱240亿美元,主要服务电诈产业 据香港明报、香港01联合报道,汇旺集团近日陷入洗钱风波,其董事长李雄被押解回中国后,调查显示,过去四年汇旺涉嫌通过旗下平台洗钱高达 240亿美元,且主要服务对象为电信诈骗及网络犯罪团伙。 据总部位于英国伦敦的区块链分析公司 Elliptic 统计,自2021年以来,汇旺担保及旗下商家使用的加密货币钱包,已接收超过 240亿美元资金,其中大部分资金流向电诈产业。据明报援引 Elliptic 的研究,汇旺集团在去年春天之前共促成近 270亿美元交易,虽部分交易可能合法,但大规模资金流显示其存在洗钱风险。 消息还指出,汇旺旗下 汇旺担保 和 好旺担保,被认为是集团洗钱的核心工具,而其支付平台 汇旺支付(Huione Pay) 和所谓平民化银行 胖大银行(Panda Bank) 表面上服务普通用户,实际上被用于暗网交易和“杀猪盘”诈骗收益洗白,成为全球最大的暗网交易平台之一。 香港01报…

27 Sept 2026, 12:46 UTC9 viewsread 27 September 2026
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#网友吐槽:嫖娼不给钱,还偷拍,曝光下这个叼毛。你在亚太这么小的圈子玩消失,你觉得好不好笑? 昨晚大半夜来嫖娼,偷拍妹子视频不删除,钱也不给。联系他好好沟通,见面删除视频把嫖娼的钱给了本来也就算了,结果直接已读不回消失。 见过头铁的,没见过你这么头铁的,那就给大家好好看看你这幅嘴脸。你最好找我解决问题,抓到你那就有你好受的了,你怎么操妹子的,我让人怎么操你。 PS:好一招空手套白狼🤣 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

27 Sept 2026, 12:26 UTC9 views1 reactionsread 27 September 2026
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#群友爆料:缅甸三佛塔园区黑幕曝光最新消息,坐标:北纬 15.47331,东经 98.28373。 园区内几十家公司,十几栋楼,每栋楼3层。涉事888公司,老板都是中国人。园区主管“大炮”,二老板“三喜”,里面不少打手和管理层还吸DU。 这个园区之前就被曝光过很多次,但暴行一点没变。被骗过来的人全部被非法关押、殴打、电击、小黑屋、水牢、关兵站、塞进狗笼,往笼子里放毒蛇都是家常便饭。 男的一送进去先挨打,先来个下马威。还会给受害者看酷刑、伤人致死的视频,用来吓唬人。 园区门口有持枪大兵二十四小时轮流看守,根本无法逃脱。当地武装和园区利益牵扯甚广,不敢让人逃跑。 长得好看的女生,会被送到园区会所被逼卖淫;普通样貌的女生,和男生一样,被逼做电信诈骗敲键盘。只要稍微敢反抗,就会遭受各种暴力虐待。 很多被困的人被折磨到身体垮掉、精神失常。 这里的残忍程度不亚于当年的KK园区。恳请国际反诈联盟、国际刑警,还有中缅泰相关官方关注,出…

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27 Sept 2026, 12:11 UTC≈3,650 viewsread 27 September 2026
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#群友回复:哥,认真看完你说的这些,心里挺不是滋味的。 回复前文: 过去很多事,我一直都记着。当年你愿意拉我一把,给我做事的机会,这份恩情我从来没忘,也一直心怀感激。 只是很多事情,并不是你单方面描述的那样,中间有不少沟通上的误会,还有账目、业务交接上的分歧。一两句话很难把全部事实讲清楚。关于公司股权变更、业务交接这些,并不是我私下擅自去操作。 咱们认识这么久,一路合作过来,我也不想走到互相争执的地步。不属于我的东西,我不会去争。毕竟我为公司这些年也付出了很多,并不是空手套白狼得来。 大家都是成年人,有经济上的分歧,可以好好协商,并不是我欠你什么。你的恩情,我永远记在心里。有什么困难,我也会尽量帮助你,但我也只能在自己能力范围之内,毕竟现在公司不是我一个人在管理。 我还是很珍惜咱们之前的情分,不想把事情闹得很难看。希望我们都冷静一点,好好沟通,妥善把这件事解决掉。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 …

27 Sept 2026, 11:52 UTC≈3,580 viewsread 27 September 2026
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中国女主播被诱骗前往泰国,后遭绑架转移至缅甸,勒索9万美元赎金 27日,据《南华早报》报道,一名中国网络带货主播 Wang Ran 被指在缅甸遭到非法拘禁,对方索要 9万美元赎金。 据中国官方媒体报道,Wang Ran 最初被熟人以工作为由诱骗前往泰国,之后她告诉朋友,自己被强行控制在缅甸。 家属表示,现年24岁的 Wang Ran 遭人扣押,对方要求支付 60万元人民币(约9万美元)赎金。据称,她此前是被一名通过网络认识的人以“工作机会”为由骗去泰国的。 这也是近期又一起中国网络主播以“海外工作”为诱饵,被骗前往东南亚诈骗园区的案件。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

27 Sept 2026, 11:41 UTC9 viewsread 27 September 2026
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粤澳警方侦破跨境卖淫集团,利用通讯群组招揽人员,77人被捕 9月24日,澳门司法警察局联合广东警方展开行动,侦破一个涉嫌利用通讯群组经营跨境操纵卖淫活动的犯罪集团,两地共拘捕77人,初步涉及金额至少530万港元。 警方调查发现,该集团至少从今年3月开始运作,主要在澳门路氹一带酒店物色嫖客,并通过通讯群组招揽卖淫女子及相关人员加入。 据警方通报,一名39岁内地女子涉嫌为集团主要成员之一,负责创建及管理通讯群组,并在内地招揽有意到澳门从事卖淫活动的女子。相关群组成员一度超过300人,加入人员每7天需缴纳200元人民币“入群费”。 集团成员还通过通讯群组进行“派单”,安排卖淫女子前往酒店与嫖客交易,并要求成员定期删除聊天记录,以逃避警方调查。 行动期间,澳门警方拘捕16名涉嫌集团成员,并在酒店带走11名涉嫌卖淫女子及4名嫖客;广东警方则在广州、珠海、中山、佛山、深圳等地拘捕相关人员。 目前两地警方共拘捕77人,案件仍在进一…

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“东南亚新闻网【悬赏/曝光/吃瓜】” (@DSJ067), 41,416 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/DSJ067.

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