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Channel

东南亚灰产大事件💸

@dny900

2 usernames

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

33,472subscribers

-1,463 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002149499529
TypeChannel
Usernames@dny900 @dsj_918
Description#东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 东南亚灰产大事件频道专注于东南亚华人最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。 不求最好只求更好 投稿,曝料,商务合作: @TG_BG0 国漫电影院:https://t.me/GMDYY0 关注世界杯:https://t.me/dny500
CreatedBetween 1 May 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live11 November 2026
Measurements held118
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/dny900

Topic

Other / unclassifiable — 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 75% 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 the other topics.

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 in near-verbatim form on 12 other registered channels. 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
@dny900/12679 · this entry21 Aug 2026, 07:29 UTC@sii76/4516721 Aug 2026, 10:34 UTC1.003.1 hours
@dny900/12784 · this entry26 Aug 2026, 04:09 UTC@sii76/4540126 Aug 2026, 09:12 UTC1.005.0 hours
@dny900/12805 · this entry27 Aug 2026, 02:07 UTC@sii76/4544127 Aug 2026, 07:12 UTC1.005.1 hours
@dny900/13414 · this entry20 Sept 2026, 12:30 UTC@sii76/4661521 Sept 2026, 05:12 UTC1.0017 hours
@sii76/4855329 Oct 2026, 11:38 UTC@dny900/14247 · this entry29 Oct 2026, 13:02 UTC1.0084 minutes
@sii76/488634 Nov 2026, 11:45 UTC@dny900/14403 · this entry4 Nov 2026, 12:54 UTC1.0070 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@sii7614 (7/8 hand-verifiable sample passed)0.993.9 hoursthis entry (12–2)
@JPZ_8812 (8/8 hand-verifiable sample passed)1.007.4 hoursthis entry (12–0)
@v390310 (8/8 hand-verifiable sample passed)1.0043 minutes@v3903 (7–3)
@qqt1310 (8/8 hand-verifiable sample passed)1.003.3 hoursthis entry (8–2)
@PG216610 (7/8 hand-verifiable sample passed)1.0043 minutes@PG2166 (6–4)
@sssvip48 (8/8 hand-verifiable sample passed)1.0042 minutes@sssvip4 (5–3)
@jiandan88848 (8/8 hand-verifiable sample passed)1.0086 minutes@jiandan8884 (6–2)
@bbsooo8 (8/8 hand-verifiable sample passed)0.9989 minutesthis entry (7–1)
@cgssbb8 (8/8 hand-verifiable sample passed)1.0082 minutesthis entry (8–0)
@huich797 (7/7 hand-verifiable sample passed)1.0041 minutes@huich79 (6–1)
@jrdnyxs7 (7/7 hand-verifiable sample passed)1.0040 minutes@jrdnyxs (6–1)
@HDLW_News6 (5/6 hand-verifiable sample passed)0.9952 minuteseven

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. 72 of the 72 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 925 comparable posts for this entry, running 10 August 2026 to 10 November 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).

Views per post sit far below this size band

3.9 average views per post against 34,296 subscribers — an engagement rate of 0.011%. Across the 1,296 registered channels in the same cohort — 31,659–99,809 subscribers, posting mainly in Chinese — the middle half sit between 0.987% and 5.59%, with a median of 2.51%.

What this was computed from
Window30 days (6 October 2026 – 5 November 2026)
Posts measured366 of 366 published in the window (366 exact, 0 rounded by Telegram)
Views totalled1,442
Mature posts only0.014% over 27 posts read at least 24h after publication
Subscribers34,296 measured 5 November 2026
Cohortb31623:zho · 1,296 channels · p10 0.278% · p25 0.987% · p50 2.51% · p75 5.59% · p90 11.5%
Position in cohort0.309th percentile · 1/200 the cohort median
Uncertainty±0.084% of the figure, from Telegram’s rounding
Post languageChinese · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the keys clone_copy · clone_mutual · clone_source · err_low, last confirmed 11 November 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.

Growth

25,95635,63430,79533,47211 August 202611 November 2026
118 measurements spanning 93 days, net -1,463. 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 24,504–37,086 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 118
Measured (UTC)SubscribersChange
11 Nov 2026, 16:5833,472no change
11 Nov 2026, 13:0533,472-106
9 Nov 2026, 22:2133,578no change
9 Nov 2026, 16:1833,578-177
8 Nov 2026, 16:5733,755-75
8 Nov 2026, 09:4833,830-92
7 Nov 2026, 12:5633,922-98
7 Nov 2026, 05:3934,020-100
6 Nov 2026, 11:0834,120-5
6 Nov 2026, 04:0134,125-171
5 Nov 2026, 10:4634,296-47
5 Nov 2026, 03:1134,343-4
4 Nov 2026, 10:5834,347-54
4 Nov 2026, 03:3734,401-177
3 Nov 2026, 12:4934,578-27
3 Nov 2026, 04:4634,605-188
2 Nov 2026, 10:0634,793no change
2 Nov 2026, 05:3034,793-37
1 Nov 2026, 12:2834,830-12
1 Nov 2026, 03:3734,842first reading

Engagement

1,025 posts held, back to 10 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 150 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.011%
avg views ÷ 33,472 subscribers
Avg views / post
3.8
376 posts measured
Reaction rate
33.3%
reactions ÷ views · ER floor
Posts in window
376
of 1,025 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 2 of 376 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 11 November 2026
Posts held1,025 (10 August 2026 – 11 November 2026)
Views total1,435
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 18:09 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
≈11,900
Videos
≈2,320
Links
≈268

Lifetime counters from Telegram’s own channel header, read 11 November 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
6h 17m
Average length
1m 16s

Measured directly from 296 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

2,854 reactions across 348 posts, in 15 distinct kinds. The most used accounts for 53.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,51853.2%
🔥68023.8%
🤔53818.9%
🤯401.40%
👍190.666%
👎190.666%
👏90.315%
⚡60.21%
😢60.21%
🎉50.175%
😁50.175%
🤩40.14%
🥰30.105%
💩10.035%
🤡10.035%

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 349 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 2,854 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 12 August 2026 to 11 November 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

Telegram’s own ‘edited’ marker: 3 of 376 posts held from the last 30 days (0.798%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 15:44 UTC3 viewsread 11 November 2026
Video

#群友投稿:最近老挝有不少捞人反被抓的事,大家有没有刷到? 万象有个翻译,想去帮被抓的中国人打听情况、想办法捞人,结果人没捞出来,自己当场被扣下调查。还有个中国人开奔驰跑到电诈抓捕现场捞人,直接一并被带走。还有很多同类事件没对外报道。赚钱有风险,捞人一定要谨慎。 很多人会疑惑:我只是帮朋友问问情况,怎么自己也出事?今天结合真实案例跟大家聊聊。 最近找我处理案件的人特别多,一天几十条咨询,有涉嫌电诈、贩毒、非法持枪,还有电子烟批发、送货的。我发现一个普遍问题:家属朋友过来,大多会隐瞒实情、避重就轻。明明是电诈骨干,只说自己就是打工的;查到大量毒品,说只是自己吸食;房间搜出几百上千支电子烟,还说不是用来卖的。 很多人觉得卖电子烟是小事,但在老挝,电子烟管控很严,大批量批发、运输、销售属于严重刑事风险,不是交点罚款就能了事。前两天有个做电子烟批发的网友找我,他手下很多送货的被抓,问我能不能摆平。他说以前花钱就能解决,现在不一样…

11 Nov 2026, 15:02 UTC3 viewsread 11 November 2026
Photo

今天看到这个帖子 说的是黑灰产买频道广告 然后放入诱饵链接 黑取读者手机盗U的 更有甚者,一些台子广告 实际上挂羊头卖狗肉 明面他在推广台子做引流 实际目的则是引流到台子后 还是以盗U为终极目的 真让人叹为观止 说到频道放广告盗U 之前也有个迪拜的人找到我 8年前他混西港 后来他去了迪拜 一直到现在 他毫不掩饰跟我讲 希望放个广告,目的是盗U 问我多少钱直接说 我表示拒绝,太特么丧良心了~~ 另外,据说啊 文森特虽然早被抓走了 但整个盗U界 业务量现在最大的 依然还是太子系

11 Nov 2026, 14:52 UTC3 viewsread 11 November 2026
Photo

#马来西亚资讯:吉打突袭疑似人口贩运窝点!16名印尼妇女获救,两名男子被捕 11月11日报道,马来西亚吉打州移民局展开代号“平图行动”(Ops Pintu),于11月10日深夜突击搜查亚罗士打一处民宅,成功解救16名疑似人口贩运受害者,并逮捕两名男子协助调查。 此次行动于11月10日晚上11时30分展开,执法人员前往吉打州亚罗士打Taman Desa Baiduri、Jalan Gangsa一处民宅进行突击检查,现场发现16名年龄介于20岁至46岁的印尼籍妇女,怀疑该处涉及人口贩运活动。 行动期间,执法人员查获33本印尼护照及12万2598令吉现金,同时扣押两辆汽车,分别为丰田RAV4及丰田Avanza。 此外,两名年龄分别为31岁及59岁的男子当场被捕,以协助调查。 吉打州移民局表示,此次行动是依据2007年《反人口贩运及反偷渡移民法》(ATIPSOM,第670号法案)展开,案件目前援引该法令第12条文调查。 目前…

11 Nov 2026, 13:56 UTC2 viewsread 11 November 2026
Photo

#印尼资讯:多地爆发示威演变骚乱!日惹警方逮捕154人,现场查获燃烧瓶及鞭炮 印尼多个城市近日爆发示威活动,民众针对政府经济治理、野火处置不力及长期薪资停滞等问题表达不满。其中,日惹市的示威活动于11月10日晚演变成暴力冲突,警方随后拘留154人。 据媒体11月11日报道,当晚约8时,约100名示威者聚集在日惹省议会大楼周边,期间有人向大楼投掷石块、燃放鞭炮及投掷燃烧瓶,现场局势迅速升级。 警方随后调派战术车辆到场驱散人群,并展开调查。执法人员在现场查获6枚燃烧弹及12枚鞭炮等证物。 日惹警方发言人诺维塔表示,当局共拘留154名涉嫌参与骚乱的人员。国家警察总长苏尤迪于11日上午前往现场视察,并承诺彻查事件,厘清是否涉及蓄意破坏及其他幕后因素。 据了解,事发当天白天,数百名民众曾聚集在日惹省政府办公地点附近,要求政府提高最低工资。不过,这批示威者在晚间暴力冲突发生前已经散去。 除了日惹,印尼第二大城市泗水也出现示威活动…

11 Nov 2026, 13:38 UTC2 viewsread 11 November 2026
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🇲🇲缅甸孟邦-克伦邦军方检查站收“线路费”放行电诈人员 据租车行业消息源透露,克伦邦和孟邦境内军方检查站向电诈(网络诈骗)人员收取数万至数十万泰铢不等费用后放行。 载有外籍及缅甸籍电诈人员的车辆,从毛淡棉往穆洞、三佛塔方向,及从帕安往妙瓦底、水沟谷方向,沿途检查站每车收取至少1万至10万泰铢。费用由执勤军方及邦级官员分成。 近期边境三佛塔、妙瓦底、水沟谷、沃莱、提卡迪一带新增多个电诈窝点,并通过社交媒体招人,月薪2万至4万泰铢,包吃住但半年内不得外出。 国际社会此前已对相关主导者实施制裁和逮捕令;军方则拆除旧窝点并颁布《网络诈骗防治法》,但观察人士认为军方才是边境电诈的源头。

11 Nov 2026, 12:52 UTC2 viewsread 11 November 2026
Photo

#群友投稿:寄生:自己没法独立活下去,依附在别的主体身上,靠吸取对方的资源、好处来养活自己。 比如蛔虫、蜱虫,住在别的动物身体上,吸取养分,宿主被消耗、受伤害,虫子靠它存活,这就是寄生。依附别人,自己不付出,专门蹭对方的资源、名气、流量、好处,榨取对方。 例句:- 他就是寄生在这个圈子上面,靠蹭别人热度赚钱。- 不要去寄生别人,靠自己才稳。寄生:贴着别人,蹭好处、吸血,靠着对方获利。 1. 蹭流量、赚收益 自己做不起来账号、没客源,贴到有热度的人身上,蹭对方人气,涨粉、接单、赚钱。热度一没,就换下一个目标。 2. 借身份、混圈子 本身在圈子里没地位,靠着绑定大佬,借对方名头抬高自己,方便认识其他人、拿到别人拿不到的机会。 3. 偷懒躺平,不想自己付出 不想慢慢积累、不想承担风险,只想等着别人做好了,跟着分好处,只拿收益,不扛责任。 4. 依附自保,自身实力弱,容易被针对,依附有实力的人,借对方的保护,避开麻烦。 …

11 Nov 2026, 11:42 UTC2 viewsread 11 November 2026
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印尼警方在菲律宾秘密抓捕数十名网络诈骗嫌疑人,涉案人员正被押送回国 11月10日,印尼国家警察总长苏尤迪·阿里奥·塞托(Suyudi Ario Seto)透露,印尼警方近日在菲律宾展开秘密执法行动,成功抓获数十名涉嫌参与网络诈骗活动的人员,目前相关嫌疑人正被安排押送返回印尼。 据介绍,此次行动主要针对在菲律宾境内活动、以印尼国内民众为诈骗目标的跨境网络诈骗人员。 苏尤迪表示,警方已经成功控制一批涉案人员,并正在办理押送回国相关事宜,以便进一步调查案件。 目前,警方尚未公布具体抓捕人数、嫌疑人身份及诈骗团伙的详细情况。印尼警方表示,后续将由相关部门公布更多行动细节。

11 Nov 2026, 10:54 UTC1 viewsread 11 November 2026
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#小姐姐投稿:在东南亚待久了,真的不敢再轻易相信爱情了。 说实话,在东南亚待了这么久,感情上真的越来越疲惫了。见过太多嘴上说爱你、转身却把你丢下的男人,也听过太多好听的承诺。 刚认识的时候,甜言蜜语说得比谁都好听,恨不得把全世界都给你。可真到了需要他承担责任、解决问题的时候,态度就完全变了。 以前觉得两个人在一起,最重要的是感情。现在才发现,有些男人只想享受你带来的温柔,却不愿意承担一丁点责任。 尤其是在东南亚这个环境里,认识一个人好像很容易,真正遇到一个靠谱的人却很难。 有人今天对你嘘寒问暖,明天就能跟别人暧昧;有人口口声声说会照顾你,可一旦遇到现实问题,第一反应不是怎么解决,而是先算算自己会不会吃亏。 感情里最让人心寒的,不是没钱,也不是日子过得苦,而是你以为自己找到了依靠,最后才发现,对方只是在权衡利弊。 其实,女孩子在外面打拼,真的没有想象中那么容易。白天要面对工作和生活的压力,晚上一个人回到房间,有时候连…

11 Nov 2026, 09:59 UTC1 viewsread 11 November 2026
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美国如何揭开柬埔寨洗钱网络的秘密? 洪森政府持续保持沉默,未能对跨国犯罪网络和网络诈骗网站展开初步调查,这反映了体制性问题以及政治权力与黑钱之间的利益纠葛。 迄今为止,尽管国际机构和外国政府不断提供线索和调查报告,例如联合国人权事务高级专员办事处(人权高专办)2023年8月发布的报告估计,至少有10万人在柬埔寨的诈骗网站上遭受人权侵犯和强迫劳动,但柬埔寨国家当局仍然无所作为。 造成这种软弱的主要原因是,像太子集团这样的大型犯罪网络通过在房地产、酒店、银行和物流等领域数十亿美元的投资,已经深入渗透到正规经济体系中,因此,这些网络的瓦解或瓦解将直接损害国内经济稳定和权贵阶层的收入来源。 此外,犯罪网络的高层领导人伪装成商业巨头或战略投资者,向国家基金、社会事业和基础设施捐赠数百万美元,以换取政治影响力和法律保护。然而,核实资金来源和真实所有权的机制仍然不足,使得主管当局难以甚至无法干预此类资金来源。 洪森政府经常以行政借口…

11 Nov 2026, 09:09 UTC1 viewsread 11 November 2026
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#马来西亚资讯:警方销毁7445件涉案证物!总价值逾119万令吉,186台比特币矿机遭压毁 马来西亚雪兰莪州警方于11月11日在梳邦再也警区总部举行涉案证物销毁行动,共销毁7445件涉案物品,涉及210宗案件,总价值达119万1901令吉。 此次行动由雪州总警长拿督沙兹里主持。被销毁的证物来自2021年至2026年期间警方侦办的案件,涉及非法赌博、网络赌博、非法娱乐场所、比特币挖矿、走私烟酒、电缆盗窃及其他刑事犯罪。 根据警方公布的数据,210宗案件包括56宗非法赌博案、42宗非法娱乐场所案、11宗比特币挖矿案、22宗走私烟酒案、7宗网络赌博案、7宗电缆盗窃案,以及65宗其他刑事案件。 此次销毁的证物包括145部手机、332台电脑及相关设备、186台比特币矿机、36捆失窃电缆、3374瓶烈酒、1500罐酒类饮料、822箱香烟、21件娱乐场所相关物品,以及1029件其他刑事证物。 警方表示,此次行动已获得莎阿南推事庭批准…

11 Nov 2026, 07:56 UTC2 viewsread 11 November 2026
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安徽36岁女子赴泰旅游后失联,疑被骗至缅甸电诈园区,50万元被转走,家属遭索要13万元赎金 近日,安徽一名36岁女子赴泰国旅游后失联一事引发关注。据媒体此前报道,当事人杨苗于7月30日赴泰国,随后与家人失去联系。家属多方寻找后得知,她疑似被诱骗至缅甸妙瓦底一处电信网络诈骗园区。 据家属反映,杨苗被控制期间,其银行账户内约50万元人民币遭强行转走。此后,相关人员还向家属索要赎金,最初开价35万元,之后多次降低金额,最终降至13万元。 报道称,阜南县公安局已于9月7日对此事立案调查。事件曝光后,引发社会对境外旅游安全及人口诱骗问题的关注。 警方及相关部门提醒: 境外旅游、求职务必提高警惕,不要轻信熟人邀约、免费出行及高薪工作等诱惑。出境前应将行程、住宿及同行人员信息告知家属,保持通讯畅通。一旦发现境外失联、疑似被非法控制或遭索要赎金,应立即向国内警方及中国驻当地使领馆寻求帮助。

11 Nov 2026, 07:01 UTC5 viewsread 11 November 2026
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#国内资讯:西安一男子替境外电诈团伙取现100万元,银行柜台被警方当场抓获 近日,陕西西安雁塔区某银行网点发生一起涉电信网络诈骗案件。一名男子受境外电诈团伙雇佣,充当取现“车手”,企图到银行一次性提取100万元现金,最终被银行工作人员识别异常并报警,警方赶到现场将其控制,涉案资金全部被拦截。 据悉,嫌疑人赵某提前预约大额取现,办理业务时谎称资金是期货投资回款。然而,银行工作人员发现其无法合理说明资金来源,账户短时间内出现大额异常入账,随即启动反诈预警机制。 银行工作人员一边稳住赵某、暂缓办理取现业务,一边立即向反诈中心报警。民警接报后迅速赶到现场,将赵某当场抓获,原计划提取的100万元涉案资金未能成功转移。 经查,赵某长期受境外电诈团伙指使,先后流窜甘肃、湖南、江西等多个省份,通过异地办理银行卡、接收涉诈资金,再按照上线指令前往银行提取现金,从中赚取佣金,试图通过现金交易切断诈骗资金的追踪链条。 目前,案件仍在进一步侦…

Showing the 12 most recent of 1,025 posts we hold for @dny900. 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.

Posts edited after publishing

@dny900 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

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First edit seen
12 October 2026
Most recent edit
12 October 2026

Mentions

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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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚灰产大事件💸” (@dny900), 33,472 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/dny900.

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