#网友反馈:老挝金三角的美龙湾别墅区和前面的店铺刚刚被老挝警察包围了,具体情况暂时还不清楚 反正感觉里面的狗推已经跑不掉了 #护航 #骗子反诈 #反诈悬赏 #网友曝光 ➖➖➖➖➖➖➖➖➖➖➖ 📮投稿联系:@huhang ➕全局曝光搜索 @pianzifanzha

Channel
东南亚灰产头条-骗子-曝光-护航
@pianzifanzha
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
4,930subscribers
-4,706 since we began measuring on 15 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002689460655 |
|---|---|
| Type | Channel |
| Username | @pianzifanzha |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/pianzifanzha |
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 13 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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 |
|---|---|---|
| 16 Sept 2026, 04:37 | 4,930 | -103 |
| 12 Sept 2026, 18:21 | 5,033 | -259 |
| 8 Sept 2026, 21:21 | 5,292 | -143 |
| 3 Sept 2026, 20:19 | 5,435 | -155 |
| 31 Aug 2026, 14:42 | 5,590 | -147 |
| 28 Aug 2026, 09:53 | 5,737 | -78 |
| 25 Aug 2026, 15:43 | 5,815 | -124 |
| 22 Aug 2026, 19:52 | 5,939 | -3,577 |
| 19 Aug 2026, 13:15 | 9,516 | -72 |
| 16 Aug 2026, 14:05 | 9,588 | -48 |
| 15 Aug 2026, 07:00 | 9,636 | no change |
| 15 Aug 2026, 06:48 | 9,636 | first reading |
Engagement
22 posts held, back to 16 July 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 9 pages of 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 22 posts for this entry, the most recent from 20 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 1m 00s
- Average length
- 20s
Measured directly from 3 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
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 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 2 of the 22 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 16 July 2026 to 20 August 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
线下版杀猪盘 组团演戏装老板 豪车堆现金 半年骗走一千四百万 骗子高薪雇演员扮专业老板 租来豪车 堆起成捆现金 用奢华排场伪装雄厚实力 演得跟真的一样 专门骗你投资入局 短短半年时间 就骗走一千四百多万元 直到最后才看清 豪车是租的 现金是摆的 老板是演的 从头到尾全是精心设计的一场骗局 提醒大家 真正有钱的人不会到处炫富 越是刻意摆阔 承诺高回报稳赚钱的 越要多加小心 凡是催你转账投资的 一定要多查多问 千万别被表面光鲜迷了心窍 豪车现金全是道具 老板身份全是演技 越是华丽的排场 越藏着害人的圈套 #护航 #骗子反诈 #反诈悬赏 #网友曝光 ➖➖➖➖➖➖➖➖➖➖➖ 📮投稿联系:@huhang ➕全局曝光搜索 @pianzifanzha
安全提醒:16个恶意RubyGems包伪装热门依赖,专偷钱包助记词和Telegram数据 网络安全研究人员近日发现一批伪装成热门Ruby依赖库的恶意RubyGems软件包,共涉及16个包名。攻击者故意使用与正常依赖库十分相似的拼写,诱导开发者在输入错误名称后下载安装。 这批恶意包主要模仿bundler、i18n、rake和activesupport等常用Ruby依赖。研究人员于8月15日发现相关攻击活动,并将其命名为“StubMaker”。 用户一旦安装这些恶意包,隐藏其中的代码就会在安装过程中自动运行,主要针对Windows设备。恶意程序可窃取Chrome、Edge、Brave、Opera等浏览器中保存的账号密码、Cookie和登录会话等数据,同时搜集多种加密钱包资料,并扫描钱包助记词和恢复短语。 此外,恶意程序还会读取Telegram Desktop本地数据,并收集受感染电脑的系统信息。窃取到的数据随后会被打包上传,并将…
🇵🇭 涉案金额超29亿,重大逃犯陈某落网 中国驻菲律宾大使馆8月19日消息,近日,中菲两国执法部门合作抓获并遣返一名涉嫌组织跨境赌博犯罪的逃犯陈某。 陈某所属跨境赌博犯罪集团在菲律宾设立网络赌博平台,通过网站推广、社交媒体广告、招募代理人、熟人介绍等方式向中国公民招赌,并通过操纵后台数据,设置苛刻提款条件、延长赌博时间、增加赌博频率等诱使赌客输光所有资金,涉案金额逾29.2亿元人民币,严重危害人民群众的生命财产安全与合法权益,同时也严重危害国家的经济安全、社会稳定和国家形象。 使馆郑重提醒:赌博是“十赌十骗”、“十赌十输”,害人害己,一次沉迷,终生悔恨!请务必认清赌博陷阱,自觉与任何形式赌博活动划清界限,切勿以身试法。 #护航 #骗子反诈 #反诈悬赏 #网友曝光 ➖➖➖➖➖➖➖➖➖➖➖ 📮投稿联系:@huhang ➕全局曝光搜索 @pianzifanzha
国内热点 #许家印被判无期!恒大案一审宣判,没收个人全部财产 备受关注的恒大案迎来一审判决。8月20日上午,广东省深圳市中级人民法院对恒大集团、恒大地产及许家印相关案件进行一审公开宣判。 法院决定对恒大集团数罪并罚,罚金88.2亿元;恒大地产被判处罚金70亿元。 许家印则被判处无期徒刑,剥夺政治权利终身,并没收个人全部财产。案件涉及的违法所得将继续追缴,不足部分责令退赔。 法院审理认定,2016年至2021年期间,恒大集团、恒大地产及许家印等涉及财务造假、非法吸收公众存款、集资诈骗、欺诈发行证券、违规披露重要信息等多项犯罪行为。 许家印本人还涉及违法运用资金、职务侵占等罪名。法院认为,相关犯罪数额特别巨大,造成重大经济损失,社会危害严重,因此依法从严判处。 值得注意的是,追赃挽损仍将优先进行。法院明确,违法所得继续追缴,相关退赔执行优先于罚金和没收财产刑。 同日,恒大相关案件中的其他涉案人员也被宣判,包括甄立涛、柯鹏…
柬埔寨一年内查处近70家赌场 自2025年7月至2026年7月31日的一年间,柬埔寨当局在打击网络诈骗专项行动中,严厉查处了69家涉诈赌场。 据柬埔寨国家打击网络诈骗委员会的报告,执法部门对全国195家持牌赌场进行了排查,其中吊销20家赌场执照、暂停29家执照,另有23家因执照过期而停业。 随着2026年4月《反网络诈骗法》的出台,涉诈分子最高可面临终身监禁及10亿瑞尔罚款,当局将持续深化整治,彻底肃清网诈犯罪。 #护航 #骗子反诈 #反诈悬赏 #网友曝光 ➖➖➖➖➖➖➖➖➖➖➖ 📮投稿联系:@huhang ➕全局曝光搜索 @pianzifanzha
网友投稿:抓到盘总后,要让其体验比园区还毒的打。 17号从木牌龙街附近的打野民房里面逃出来,躲着已经有2天了,到现在为止没有接到任何公司的通知,接下来怎么搞,就等于是我们这批逃出来的员工死了。 也算是我们走运,没有像其他房子里面打野的人那样当场被抓。警察来我们这边抓人之前,还是接到了一个有良心的同胞兄弟一条信息,叫我们快跑。 我们现在能联系到已经逃出来的员工有二十几个人,公司上级领导已全部失联,死不见尸、活不见人的那种。员工们40几天的工资加提成,看样子是分逼都拿不到了。 现在是有人欢快,有人愁。在木牌管理公司的盘总不在打野的房子里面,显然是很欢快,没有被抓的风险,特别是还有巨额工资不发,可以往自己口袋里面装。 看爆料新闻,还有一批越南人被抓,那应该是我们公司做SEO推广的。那批人专业做这个的,听说每个月业绩都很高。业绩再高,现在也得自求多福,只能自救,公司连工资都不发了,救人是不可能救的。 现在我们这批人只能继续躲着,…
网友投稿:这是现在出国要填的东西,大家可以参考一下。 #护航 #骗子反诈 #反诈悬赏 #网友曝光 ➖➖➖➖➖➖➖➖➖➖➖ 📮投稿联系:@huhang ➕全局曝光搜索 @pianzifanzha
胖大银行储户注意!第二阶段存款兑付启动 进入清算程序的胖大商业银行(Panda Commercial Bank)将启动第二阶段存款兑付。已提交申请的储户,可从8月21日起办理领取手续。 胖大商业银行法定清算人Morrison Kak MKA审计会计师事务所8月19日发布公告称,经与柬埔寨国家银行协商,决定启动第二阶段存款兑付,向尚未完成兑付的储户支付相关款项。 清算人同时提醒储户谨防诈骗,不要轻信有人声称可以帮助或保证获得赔偿、并以此收取手续费。 #护航 #骗子反诈 #反诈悬赏 #网友曝光 ➖➖➖➖➖➖➖➖➖➖➖ 📮投稿联系:@huhang ➕全局曝光搜索 @pianzifanzha
#柬埔寨资讯:干丹省开展网络诈骗窝点检查行动 涉嫌建筑物遭调查 8月2日下午,柬埔寨干丹省有关部门联合开展行动,对一处涉嫌涉及网络诈骗活动的建筑物进行检查和现场勘察。 行动期间,执法人员对该建筑内部环境、人员活动情况以及相关设施进行了详细查看,并开展现场调查取证工作,以核实该地点是否存在从事网络诈骗等违法犯罪活动的情况。 目前,相关部门尚未公布现场是否发现涉案人员、设备或其他证据,案件调查工作仍在进一步进行中。 #护航 #骗子反诈 #反诈悬赏 #网友曝光 ➖➖➖➖➖➖➖➖➖➖➖ 📮投稿联系:@huhang ➕全局曝光搜索 @pianzifanzha
❤1
#群友爆料:女的是台湾人,在金边 DM 场所做扶手的,在这边名字叫做“陆陆”。 她和一个中国男的联合缉DU局一起钓鱼做局,专门坑害身边的朋友以及诱骗别人上钩,然后通过钓鱼被抓来获取提成。 据了解,此女本人也涉及贩DU。听说她在 7 月份因自身原因被抓后,选择配合缉DU局进行钓鱼,目前已经有不少人被她坑害,其中很多都是大家共同认识的朋友。这一次,也是被她和那个中国男的一起设局钓出来,导致大家总损失数万美金罚款,最低的 4000 美金,最高达到 1 万多美金。 在此提醒在金边的各位朋友,如有认识此女的,请务必远离,提高警惕,注意自身安全。如今赚钱本就困难,还要防范被这样的人坑害。 #护航 #骗子反诈 #反诈悬赏 #网友曝光 ➖➖➖➖➖➖➖➖➖➖➖ 📮投稿联系:@huhang ➕全局曝光搜索 @pianzifanzha
#联合国点名:柬埔寨政府包庇电诈犯罪 联合国柬埔寨人权状况特别报告员安德鲁斯警告,跨国网络犯罪团伙已构成柬埔寨最严重的人权挑战之一。他公开质问柬政府为何在开展大规模打击电诈行动的同时,却未对涉嫌卷入电诈犯罪的政治与商业权贵展开深入调查。 安德鲁斯7月31日在结束对柬埔寨的首次正式考察后召开的记者会上公开表示,他在与柬埔寨总理洪玛奈会面时,当面质问柬埔寨政府为什么包庇电诈,没能对几名被认为参与网络诈骗活动的高级官员和权势人物采取行动? 针对安德鲁斯的提问,洪玛奈表示,他正在对几名高级官员采取行动,并会依法处理涉嫌网络诈骗犯罪的人员。安德鲁斯强调,要彻底铲除电诈,政府必须切断犯罪网络与政商精英的联系,调查和依法起诉所有涉案人员。 #护航 #骗子反诈 #反诈悬赏 #网友曝光 ➖➖➖➖➖➖➖➖➖➖➖ 📮投稿联系:@huhang ➕全局曝光搜索 @pianzifanzha
Showing the 12 most recent of 22 posts we hold for @pianzifanzha. 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 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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚灰产头条-骗子-曝光-护航” (@pianzifanzha), 4,930 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/pianzifanzha.
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.