Laboratory data
Dashboard
Every day the laboratory collects public news, social media posts and Telegram messages, keeping only scam-related material. The figures below are the last seven days of intake and the themes it breaks down into.
Collected in 7 days
816,743
Window: 11/2 – 11/9
Daily average
102,093
Across 7 calendar days
Active sources
4
News · social · Telegram
Scam themes identified
8
407 cases
Daily intake by source
Colour depth is relative within each row (that row’s lowest and highest day sit at the two ends): Telegram groups are orders of magnitude larger than the other sources, so colours are not comparable across rows.
| Source | 11/7 | 11/8 | 11/9* | 7-day total |
|---|---|---|---|---|
| NewsNews | 512 | 126 | – | 3,666 |
| SocialSocial media | 47 | 21 | – | 293 |
| TG groupsTelegram groups | 140,107 | 147,563 | 1,059 | 812,080 |
| TG channelsTelegram channels | 94 | 99 | – | 704 |
| Daily total | 140,760 | 147,809 | 1,059 | 816,743 |
* Today is still running, so the number keeps rising.
Dominant scam themes and their tactics
Themes come from the case classification in the laboratory’s daily reports; tactics are auto-tagged from case descriptions, and the number counts cases using that tactic in the last seven days. Case headlines stay in their original language. “Unclassified” covers cases the reports could not place in a specific category.
Impersonation
94 cases · 23%
Tactics
- Chat-group funnelling· 9
- Impersonating officials· 7
- Induced transfers· 6
Recent cases: 識破電話詐騙遭報假警報復 加國女經紀人遭持槍警包圍; CTC Travel 警告假冒全包旅遊套餐騙局 專門針對長者
Investment scams
68 cases · 17%
Tactics
- Chat-group funnelling· 9
- Induced transfers· 9
- High-return promises· 5
Recent cases: 五星級飯店面交3300萬 詐團收水手判刑3年8月; 假投資羣組騙老翁 警銀聯手保住260萬積蓄
Phishing links
53 cases · 13%
Tactics
- Phishing messages· 39
- OTP / personal data· 14
- Chat-group funnelling· 5
Recent cases: 網購微波爐遭海外盜刷5筆 假宅配QR Code藏詐騙陷阱; 假冒WhatsApp官方支援誘輸入8位配對碼騎劫帳戶 警方教你3招識破假藍剔
Money mules
33 cases · 8%
Tactics
- Cash pickup / mules· 5
- Induced transfers· 3
- Fake jobs· 2
Recent cases: 銀川警方擒獲取現車手 攔截6萬餘元被騙款; 印度Raheja Developers涉多億洗錢騙案 4600名購房者受害
Fake shops
25 cases · 6%
Tactics
- Phishing messages· 3
- Fake sites & platforms· 2
- OTP / personal data· 2
Recent cases: 荷蘭假柴火網店騙案 受害人預付後從未收貨; 黑色星期五購物季慎防網購詐騙
Romance investment
10 cases · 2%
Tactics
- Romance grooming· 6
- Induced transfers· 3
- Cash pickup / mules· 2
Recent cases: 咖啡廳老闆陷愛情詐騙慘賠千萬 警逮69歲退休老翁車手; 批量包裝「完美戀人」誘打賞 婚戀詐騙團伙63人獲刑
Fake ticketing
3 cases · 1%
Tactics
No clear tactic signals in the last seven days of cases
Recent cases: 廉價機票騙局 法院令Iberia交出涉案員工資料; 藝人吳承洋代購BIGBANG門票疑遇騙 付錢後對方失聯9張票落空
Unclassified
121 cases · 30%
Tactics
- Fake jobs· 9
- Phishing messages· 2
- OTP / personal data· 1
Recent cases: 柬埔寨打擊網絡詐騙 逾5000人遭起訴、2.3萬外國人被遣返; 緬甸雙線打擊電詐 遣返外籍涉詐人員並拆違建
How the numbers are produced
- Only scam-related material is counted; other topics (drugs, national security) are excluded.
- Days are based on publication time (UTC+8), not crawl time.
- The last column is today: the day is still running, so the number keeps rising.
- Dark web and X are not wired into this dashboard yet, so they are not listed as sources.
- Data refreshes every 10 minutes; the underlying pipeline writes continuously.
Data as of 2026-11-09 00:09 (Hong Kong time)