AI挖出XRP十年漏洞,一笔交易可凭空增发18.45万亿枚 Veria Labs 的 AI 安全代理发现,XRP Ledger 内置 DEX 支付引擎存在整数溢出漏洞。据团队披露,一笔精心构造的交易可增发约 18.45万亿枚 XRP,相当于原始1000亿枚供应量的 184倍,并已在本地测试网络验证。 XRPL调查认为,漏洞可能自 2015年便已存在。团队9月22日报告、23日合并修复,25日发布 3.4.1紧急版本,该漏洞修复无需等待常规修正案投票。目前未发现公共网络遭实际利用的证据。 Veria团队获得 25万美元最高漏洞赏金。其所称约 940亿美元风险敞口指当时XRP的整体市值,并非实际被盗金额。 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bgb555 ✅投稿爆料有奖励:@dny268

Channel
东南亚热点话题 | 博闻资讯
@bgc555
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
19,543subscribers
-2,562 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002121629955 |
|---|---|
| Type | Channel |
| Username | @bgc555 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 15 October 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 15 October 2026 |
| On Telegram | t.me/bgc555 |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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 |
|---|---|---|
| 15 Oct 2026, 02:30 | 19,543 | -80 |
| 13 Oct 2026, 20:17 | 19,623 | -1,730 |
| 10 Oct 2026, 06:18 | 21,353 | -195 |
| 6 Oct 2026, 02:59 | 21,548 | -149 |
| 30 Sept 2026, 23:18 | 21,697 | +4,189 |
| 18 Sept 2026, 08:59 | 17,508 | -153 |
| 16 Sept 2026, 02:18 | 17,661 | -214 |
| 14 Sept 2026, 06:40 | 17,875 | -184 |
| 12 Sept 2026, 11:57 | 18,059 | -238 |
| 10 Sept 2026, 10:41 | 18,297 | -297 |
| 7 Sept 2026, 03:39 | 18,594 | -218 |
| 4 Sept 2026, 14:18 | 18,812 | -132 |
| 2 Sept 2026, 22:19 | 18,944 | -72 |
| 1 Sept 2026, 19:48 | 19,016 | +854 |
| 31 Aug 2026, 20:56 | 18,162 | -85 |
| 30 Aug 2026, 22:14 | 18,247 | -52 |
| 30 Aug 2026, 01:29 | 18,299 | -154 |
| 29 Aug 2026, 01:43 | 18,453 | -130 |
| 28 Aug 2026, 03:08 | 18,583 | -50 |
| 27 Aug 2026, 01:52 | 18,633 | first reading |
Engagement
585 posts held, back to 9 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 52 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.77%
- avg views ÷ 19,543 subscribers
- Avg views / post
- 737
- 62 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 62
- of 585 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 11 October 2026 |
|---|---|
| Posts held | 585 (9 August 2026 – 11 October 2026) |
| Views total | 45,684 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Oct 2026, 00:31 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
- 2h 52m
- Average length
- 57s
Measured directly from 182 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
60 reactions across 57 posts, in 2 distinct kinds. The most used accounts for 81.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 49 | 81.7% | |
| ❤ | 11 | 18.3% |
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 61 of the 585 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 60 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 585 most recent posts we hold, published 9 August 2026 to 11 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
80万粉网红“小四爷”涉嫌诈骗被带走!网传诱骗8人赴缅北 拥有80多万抖音粉丝的四川宜宾网红“小四爷”,因涉嫌诈骗被江苏警方跨省带走。随着消息曝光,网上又传出其涉嫌诱骗多人前往缅北电诈园区的爆料,引发关注。 “小四爷”出生于2002年,短视频主要以农村生活和乡村题材为主,账号累计获赞超过2000万。其账号自2025年4月15日起停止更新,同年6月26日,宜宾市筠连县警方证实,李某因涉嫌诈骗被江苏警方带走,案件由江苏警方侦办。 随后,有网友爆料称,他此前曾以高薪招聘、介绍工作等名义,诱骗8人前往缅北电诈园区,并声称每送去1人可获利12万元人民币。相关说法还提到,有人死亡、有人获救,也有人至今下落不明。 不过,上述涉及缅北、8名受害者及12万元报酬等说法,目前尚未得到警方公开证实。目前能够确认的是,李某因涉嫌诈骗被江苏警方带走,具体案情仍有待进一步通报。 更引发讨论的是,他过去还曾拍摄反诈骗视频,提醒粉丝警惕境外高薪工作的…
CIB逮捕一名人口走私团伙头目 该头目涉嫌在泰缅边境绑架中国公民,用胶带蒙眼捆绑后,偷运至缅甸一侧的“杀猪盘”诈骗团伙。 被捕者为33岁的 Nai Gyoi,10月6日在达府 Phop Phra 县被抓获。 警方调查显示,该团伙以“泰国高薪工作”为诱饵,诱骗中国公民入境后实施绑架,再经泰缅边境偷运至缅甸,卖给诈骗团伙强迫劳动。 此前9月6日,警方已拦截一辆可疑车辆,解救出一名被囚禁在汽车后厢的中国公民,并抓获两名运送人员。二人供出幕后主使为 Nai Gyoi。 目前,Nai Gyoi 否认全部指控,已被移交湄索市警察局依法处理。 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bgb555 ✅投稿爆料有奖励:@dny268
数字人民币平台支持跨链,能和 USDT 互通吗? 数字人民币国际运营中心的区块链服务平台和数字资产平台,基于成方链建设,提供链上结算与跨链转接能力,支持票据、贸易融资工具等合规资产的数字化应用。 至于未来接入 以太坊、TRON、Solana,允许 USDT、USDC 自由进出,目前未查到公开计划,仍属猜测。跨链能力本身,并不代表已开放稳定币兑换。&& 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bgb555 ✅投稿爆料有奖励:@dny268
🤩🤩🤩🤩🤩🤩 😃🤩🤩🤩🤩⚡️⚡️⚡️🤩 东南亚大事件上押❤️❤️❤️⚡️❤️ 【51U集团|代理双享模式重磅来袭】 诚邀各位精英加入、强强联合共赢未来! 😀净盈利分红 + 流水返佣 1️⃣ 流水返佣最高 1%|1人起 2️⃣ 净盈利分红最高 55%|3人起 3️⃣ 西港利乐实体赌场背书,结算稳定无忧 ⚡️ 新人专属福利 🤩 注册免充值即送 51U【可提现】:@TG51U 👍 🤩 新人首存50U送18U 最高赠送18888U 🤩 PG电子返水全网最高起步 🤩🤩🤩🤩🤩 🤩 独家明牌百家乐|一箭双雕捕鱼 🤩 会员秒提款,代理秒结账 🤩🤩🤩🤩🤩:@DL51U 🤩🤩🤩🤩🤩:@KF51U 🤩🤩🤩🤩🤩:@GF51U 🤩🤩🤩🤩🤩: 51U.COM
#老挝资讯 老挝磨丁一号又有人被抓!中国男子买K被当场逮住,开口就说:“让我先打个电话!”📱 昨晚,老挝磨丁一号,一名中国男子疑似因购买“K”被抓。 被拦下后,男子还扬言要先打个电话, 更让人好奇的是,视频中出现的这两名警察,究竟是老挝警方,还是中国警察? 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bgb555 ✅投稿爆料有奖励:@dny268
☺️😗😒😒实力看得见,承诺摆台面 😕😟😕🙁 🇻🇪 上亿级 稀缺域名 品牌有实力,信誉100%。 🇻🇪 30种活动持续加码 新人、返水、救援、红包等福利,还有超级大奖1982年拉菲 🇻🇪 新人充值三连送 最高送5️⃣8️⃣8️⃣8️⃣🔤 😧😀😀😀😀🤩🤩 全程明牌可见,看得清,玩得更放心。 ① 官方原厂游戏 ② 提款秒到账 有实力,才有底气;敢明牌,更敢承诺。 😀😃😄😆🥰 82.com 🤣🥹😤🙁😢 @KF82 😢☹️😏😢🥵 @DL82COM ☹️😭🙁🙁😶🌫️ @TG82 ⬅️
#交通信息 今晚奥切迭海滩一路到双狮广场都在进行大规模交通检查。 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bgb555 ✅投稿爆料有奖励:@dny268
⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 🥰新人专属福利💸 注册即送 38U| 首存100%加赠|二存、三存最高送 1888U 🎁每月逢6,彩金大回馈|绑定TG机器人每日兑换码领取彩金 ⚡️每日充值,打码,连续5天返1%,连续7天返2%! ⚡️充值 ≥🔦🔦🔦🔦立即享 🥰🥰🥰 公积金 超值俸禄,福利加码!周俸禄:充50领58/月俸禄:充50领108 💚💚代理合营:长期/永久扶持,即享受净盈利55%💚! 全球用户共同选择· 官方数据实时同步 公平 · 公正 · 公开 · 透明运营 · 无私彩 ⚡️🤩🤮🤩👿 : @hbylkf 🤩5️⃣⚡️⚡️🏦 : @HBYLC ⚡️🤩🤩🤩🤩 : HUIBET.COM ⚡️🤩🤩👹😻 : @HUIBETCOMbot
#缅甸资讯:妙瓦底水沟谷继续拆诈骗楼 又一栋六层违建被爆破 10月11日,缅甸军方媒体报道,克伦邦妙瓦底水沟谷在10月10日爆破拆除了一栋六层违建,这栋楼此前被用于网络诈骗和赌博活动。 当地此前清查出140栋涉网诈、网赌的违建,第一阶段已拆除77栋。第二阶段从10月6日开始,计划拆除剩余63栋。 截至10月10日,第二阶段已有2栋建筑被拆除,还剩61栋将陆续清拆。 PS:缅甸电脑手机建筑都销毁,不像柬埔寨二次倒手 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bgb555 ✅投稿爆料有奖励:@dny268
博主解析:“江湖哥”-佘智江到底多有“人脉”? 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bgb555 ✅投稿爆料有奖励:@dny268
梅艳芳骨灰疑遭盗窃 失踪近3个月仍未寻回 10月11日香港媒体报道,已故香港乐坛天后梅艳芳的骨灰疑遭盗窃,事件至今已近3个月仍未寻回。梅艳芳2003年逝世后,骨灰由家人安排安放在香港大屿山宝莲禅寺海会塔。 今年7月18日,有歌迷前往拜祭时发现存放骨灰的位置门牌螺丝松脱,里面的骨灰瓮不翼而飞。歌迷随即通知家属,家人随后报警求助。香港警方证实7月18日接获报案,指大屿山昂坪一间寺庙内有物品怀疑遗失,案件目前列作求警协助,由大屿山警区重案组跟进调查,暂未有人被捕。 另据香港媒体报道,梅艳芳家人至今未收到勒索电话,要求支付赎金取回骨灰。家属已通过梅艳芳国际歌迷会发布紧急呼吁,希望曾于今年1月至7月中旬到访海会塔或宝莲禅寺一带的市民,若发现可疑人员或持有相关行车记录仪画面,请尽快向警方提供线索。 目前梅艳芳骨灰的具体去向仍不明,案件仍在调查中。 📣东南亚热点话题:@bgc555 ➡️海外华人交流群:@bgb555 ✅投稿爆料有奖…
Showing the 12 most recent of 585 posts we hold for @bgc555. 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.
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 15 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚热点话题 | 博闻资讯” (@bgc555), 19,543 subscribers as measured 15 October 2026. Telegram Register, tgregister.com/channel/bgc555.
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.