Hong Kong Crypto Scam Shock: Woman Loses Nearly $1 Million As AI Fraud Surges

bitcoinist发布于2026-04-19更新于2026-04-19

文章摘要

Hong Kong Crypto Scam Shock: Woman Loses Nearly $1 Million As AI Fraud Surges A Hong Kong woman lost HK$7.7 million (approximately $982,000) after being lured into a fraudulent cryptocurrency investment platform. The scam began on Telegram, where a person posing as an investment expert promoted an AI-powered trading strategy with guaranteed returns. After making 17 transfers of USDT and Ethereum, the victim was unable to withdraw her funds. Hong Kong Police have reported a significant surge in such online investment fraud, with over 80 cases recorded in a single week, totaling losses of nearly HK$80 million. Authorities warn that scammers are increasingly using sophisticated tactics, including promises of "AI trading" and "guaranteed profits," to appear credible. This follows a similar incident last month where a retiree lost HK$6.6 million in a multi-stage scam. Police urge the public to be cautious of unsolicited investment advice and to verify platforms through the official CyberDefender service before transferring any money. They emphasize that no legitimate investment can guarantee returns. Investigations are ongoing.

Her withdrawal requests kept getting denied. That was the moment a Hong Kong woman realized the crypto investment platform she had been using for weeks was fake — and that her money was gone.

Scam Built On Fake Promises

The woman had made 17 separate transfers of USDT and Ethereum to the fraudulent platform, losing nearly HK$7.7 million, roughly $982,000.

It started on Telegram, where someone posing as an investment expert approached her and pitched a trading strategy powered by artificial intelligence.

The promised returns were guaranteed. The platform looked convincing. She transferred the funds. When she tried to take her money out, nothing came through.

Hong Kong Police have since confirmed the case as part of a wider surge in online investment fraud hitting the city.

Based on reports from authorities, over 80 such cases were recorded in a single week, with combined losses topping HK$80 million — close to $10 million.

Different Types Of Scam

According to Vectra, AI scams now fall into seven distinct categories, with deepfake video, voice cloning, and AI-driven BEC among the biggest threats to enterprises. This framework spans both consumer- and enterprise-focused attacks.

Types of AI scams. Source: Vectra

A Pattern Repeating Itself

This is not the first case of its kind, and it is not the last. Just last month, a 66-year-old retiree lost HK$6.6 million to a multi-stage scheme that played out over six months.

In that case, scammers first posed as investment advisors to win the victim’s trust, then came back later with a fake “recovery” offer — squeezing even more money out of someone who had already been burned.

Officials say the playbook is getting more sophisticated. Fraudsters are now borrowing the language of technology to add credibility to their pitches.

BTCUSD now trading at $76,179. Chart: TradingView

Terms like “AI trading” and “guaranteed profits” are being used to draw people in, according to the Hong Kong Police Force.

The artificial intelligence angle makes the pitch harder to dismiss, especially for victims who may not be familiar with how such systems actually work.

Authorities Push Public To Verify Before Transferring

Police are urging residents to be cautious with unsolicited investment advice, whether it arrives through social media, messaging apps, or anywhere else.

They are also encouraging people to use the official CyberDefender platform to check whether an investment site or service carries signs of fraud before sending any funds.

One warning is worth repeating: no legitimate investment guarantees returns. Reports indicate that every recent case in this wave involved that exact promise.

The woman who lost nearly $1 million, the retiree who lost HK$6.6 million — both were told their money was safe and the profits were certain. Neither turned out to be true.

Investigations into the cases are ongoing.

Featured image from The Verge, chart from TradingView

相关问答

QHow much money did the Hong Kong woman lose in the crypto scam?

AShe lost nearly HK$7.7 million, which is roughly $982,000.

QWhat was the initial point of contact where the victim was approached by the scammer?

AThe scammer first approached her on the messaging app Telegram, posing as an investment expert.

QAccording to Vectra, what are some of the biggest AI scam threats to enterprises?

AThe biggest threats include deepfake video, voice cloning, and AI-driven Business Email Compromise (BEC).

QWhat tool are Hong Kong authorities encouraging the public to use to verify investment sites?

AThey are encouraging people to use the official CyberDefender platform to check for signs of fraud.

QWhat common promise was made in every recent case of this fraud wave, according to reports?

AEvery recent case involved the promise of guaranteed returns, which is a sign of a scam as no legitimate investment can guarantee profits.

你可能也喜欢

如何让自己变得让人工智能永远也无法取代

面对人工智能的冲击,许多人担心工作被取代。然而,真正的威胁在于个人对他人和系统的依赖,以及由此产生的“薪资奴役”——即为生存而从事无意义、枯燥的工作。摆脱这种困境的关键,不是抵制技术,而是成为拥有高自主性的“不可受雇”个体。 文章提出了成功抵御AI替代的五个核心要素:自主性(主动行动的能力)、品味(判断事物价值的经验)、说服力(让他人关注你工作的能力)、毅力(坚持并从错误中学习)和迭代(根据反馈持续改进)。这些能力无法仅通过理论学习获得,必须通过实践来培养。 要启动转变,首先要彻底改变环境,重塑身份认同。其次,应选择一个能获得真实、快速反馈的实践领域,例如创业。在众多技能中,内容创作(媒体)比编写代码更具优势,因为其价值是主观的,需要独特的审美和判断力,这正是AI目前难以完全复制的。 具体行动上,可以从三个步骤开始: 1. **挖掘原始素材**:反思自己长期痴迷的知识领域、轻松解决的难题或童年被压抑的兴趣,找到独特的个人经验。 2. **确立反向思考主轴**:找出你坚信但主流观点错误的地方,或行业内普遍忽视的“皇帝新衣”,形成独特的批判性视角。 3. **立即发布**:将前两步的思考融合,撰写并发布第一个核心内容(如帖子、视频),勇敢接受真实世界的反馈,并在此基础上持续学习和迭代。 最终,抵御AI的关键在于构建一份与自身身份深度契合的毕生事业,通过持续的内容创作和真实互动,建立无法被自动化取代的独特价值和影响力。行动,从今天发布第一个想法开始。

marsbit5小时前

如何让自己变得让人工智能永远也无法取代

marsbit5小时前

通过掷骰子离线保管比特币密钥:并非人人愿意为之

文章探讨了通过投掷骰子生成比特币钱包种子短语的安全方法及其现实挑战。核心观点如下: **1. 骰子提供物理熵源** 骰子结果由众多微小变量决定,理论上虽可预测,但实践中无法被攻击者复制或计算,从而提供高质量的随机性。每个六面骰子投掷约产生2.585比特熵,50次投掷即可满足典型12词助记词(128比特熵)的安全需求。 **2. Coldcard漏洞事件凸显手工熵源的价值** 近期Coldcard硬件钱包因固件漏洞导致其内部随机数生成器存在缺陷,致使约1128枚比特币被盗。但那些**完全**通过足量骰子投掷生成种子短语的用户未受此漏洞影响,因为他们的主密钥未使用有缺陷的生成器。 **3. 重要警示:手工种子并非万能保护** 安全研究员指出,即使用户使用骰子生成了安全的种子,若他们使用了Coldcard的其他功能(如生成纸钱包、克隆密钥、共享签名密钥、密码等),这些**衍生密钥**仍可能调用有漏洞的随机数生成器,从而存在风险。安全种子不保证设备生成的所有秘密都安全。 **4. 手工生成熵源的现实局限性** 尽管数学上可靠,但该方法对大多数用户并不友好: * **过程繁琐易错**:需投掷50-99次,精确记录,任何输入错误都会导致钱包完全不同。 * **引入新风险**:用户可能在记录、转换过程中泄露信息,或使用有偏的骰子/投掷方式。 * **用户体验差**:难以想象大规模推广需要用户手动投掷近百次骰子。安全措施需适应现实生活场景和普通用户的知识水平。 **5. 给用户的建议** 受影响的Coldcard用户应: * 更新固件至最新版。 * 检查是否使用过有漏洞的功能生成了次级密钥或密码,如有则需立即更换。 * 考虑采用多签方案,使用不同厂商的设备分散风险。 **结论**:手工投掷骰子生成熵源是技术娴熟用户的一个有效安全选项,但其过程复杂、容易出错,不适合作为主流用户的默认方法。长远目标是依赖安全、透明且无需专业知识的硬件/软件随机数生成方案。

cryptonews.ru8小时前

通过掷骰子离线保管比特币密钥:并非人人愿意为之

cryptonews.ru8小时前

交易

现货
活动图片