A huge fraud website used by thousands of criminals to trick people into handing over personal information such as email addresses, passwords, and bank details, has been infiltrated by international police.
Britain’s Metropolitan Police said in a statement Thursday that the website, called LabHost, was used by 2,000 criminals to steal users’ personal details.
Police have so far identified just under 70,000 individual U.K. victims who entered their details into one of LabHost’s websites. A total of 37 suspects have been arrested so far, according to the Metropolitan Police.
Police have also disrupted LabHost’s websites and replaced the information on its pages with a message stating that law enforcement has seized the services.
LabHost obtained 480,000 credit card numbers, 64,000 PIN codes, as well as more than 1 million passwords used for websites and other online services, the Metropolitan Police said.
The Metropolitan Police said that up to 25,000 victims in the U.K. have been contacted by police to notify them that their data has been compromised.
Who are LabHost?
Police say that LabHost was set up in 2021 by a criminal cyber network which sought to scam victims out of key personally identifiable information, such as bank details and passwords, by creating fake websites.
Criminals were able to use it to exploit victims through existing sites, or create new websites mimicking those of trusted brands including banks, health care providers, and postal services.
“Online fraudsters think they can act with impunity,” Dame Lynne Owens, deputy commissioner of the Metropolitan Police Service, said in a statement Thursday.
“They believe they can hide behind digital identities and platforms such as LabHost and have absolute confidence these sites are impenetrable by policing.”
Owens added that the operation showed “how law enforcement worldwide can, and will, come together with one another and private sector partners to dismantle international fraud networks at source.”
Private companies including blockchain analysis firm Chainalysis, Intel 471, Microsoft, The Shadowserver Foundation, and Trend Micro worked with police to identify and bring down LabHost.
The investigation started in June 2022 after police received intelligence about LabHost’s activities from the Cyber Defence Alliance, an intelligence sharing alliance between banks and law enforcement agencies.
The Met’s Cyber Crime Unit then joined forces with the National Crime Agency, City of London Police, Europol, regional U.K. authorities, as well as other international police forces to take action.
Check out the companies making headlines before the bell. Cisco Systems — The networking technology stock added nearly 2% on the heels of a Citi upgrade to buy from neutral. Citi said artificial intelligence can become a bigger part of the business over time. Novocure — Shares soared roughly 22% after the U.S. Food and Drug Administration approved Novocure’s Optune Lua wearable treatment for metastatic non-small cell lung cancer. Morgan Stanley — Shares gained more than 3% after the bank reported quarterly results before the bell that beat Wall Street’s forecasts, helped by higher-than-expected revenue from its wealth management, trading and investment banking operations. The firm’s earnings came in at $1.88 per share, versus the $1.58 expected by a LSEG analyst poll. Revenue was $15.38 billion versus the $14.41 billion consensus estimate. United Airlines — Shares rose about 1% after the airline beat earnings and revenue expectations for the third quarter. United also announced a $1.5 billion share buyback, its first since before the pandemic. ASML — Shares of the Dutch chip equipment firm slid 4% before the bell, adding to Tuesday’s losses after it accidently released its third-quarter results a day early . The report was disappointing as ASML cut its 2025 sales forecast, suggesting weakness in markets other than those that serve AI applications. J.B Hunt Transport Services — Shares jumped more than 7% after the company’s third-quarter results topped expectations. J.B. Hunt posted $1.49 earnings per share on $3.07 billion of revenue. Analysts polled by LSEG had forecast earnings of $1.41 per share on $3.02 billion of revenue. The company said demand for its intermodal service rose throughout the quarter. — CNBC’s Sean Conlon, Alex Harring, Sarah Min, Michelle Fox and Hakyung Kim contributed reporting.
Ted Pick, CEO Morgan Stanley, speaking on CNBC’s Squawk Box at the World Economic Forum Annual Meeting in Davos, Switzerland on Jan. 18th, 2024.
Adam Galici | CNBC
Morgan Stanley topped analysts’ estimates for third quarter profit as its wealth management, trading and investment banking operations generated more revenue than expected.
Here’s what the company reported:
Earnings:$1.88 a share vs $1.58 LSEG estimate
Revenue: $15.38 billion vs. $14.41 billion estimate
Morgan Stanley had several tailwinds in its favor. The bank’s massive wealth management business was helped by high stock market values in the quarter, which inflates the management fees the bank collects.
Investment banking has rebounded after a dismal 2023, a trend that may continue as easing rates will encourage more financing and merger activity.
Finally, its Wall Street rivals have posted better-than-expected trading results, making it unlikely that the firm missed out on elevated activity.
Chinese e-commerce company Alibaba has invested heavily in its fast-growing international business as growth slows for its China-focused Taobao and Tmall business.
Nurphoto | Nurphoto | Getty Images
BEIJING — Chinese e-commerce giant Alibaba‘s international arm on Wednesday launched an updated version of its artificial intelligence-powered translation tool that, it says, is better than products offered by Google, DeepL and ChatGPT.
Alibaba’s fast-growing international unit released the AI translation product as an update to one unveiled about a year ago, which it says already has 500,000 merchant users. Sellers based in one country can use the translation tool to create product pages in the language of the target market.
The new version is based only on large language models, allowing it to draw on contextual clues such as culture or industry-specific terms, Kaifu Zhang, vice president of Alibaba International Digital Commerce Group and head of the business’ artificial intelligence initiative, told CNBC in an interview Tuesday.
“The idea is that we want this AI tool to help the bottom line of the merchants, because if the merchants are doing well, the platform will be doing well,” he said.
Large language models power artificial intelligence applications such as OpenAI’s ChatGPT, which can also translate text. The models, trained on massive amounts of data, can generate humanlike responses to user prompts.
Alibaba’s translation tool is based on its own model called Qwen. The product supports 15 languages: Arabic, Chinese, Dutch, English, French, German, Italian, Japanese, Korean, Polish, Portuguese, Russian, Spanish, Turkish and Ukrainian.
Zhang said he expects “substantial demand” for the tool from Europe and the Americas. He also expects emerging markets to be a significant area of use.
When users of Alibaba.com — a site for suppliers to sell to businesses — are categorized by country, developing countries account for about half of the top 20 active AI tool users, Zhang said.
Chinese companies have increasingly looked abroad for growth opportunities, especially e-commerce merchants. PDD Holdings‘ Temu, fast fashion seller Shein and ByteDance’s TikTok are among the recent global market entrants. Many China-based merchants also sell on Amazon.com.
Zhang declined to share how much the updated version would cost. He said it was included in some service bundles for merchants wanting simple exposure to overseas users.
His thinking is that contextual translation makes it much more likely that consumers decide to buy. He shared an example in which a colloquial Chinese description for a slipper would have turned off English-speaking consumers if it was only translated literally, without getting at the implied meaning.
“The updated translation engine is going to make Double 11 a better experience for consumers because of more authentic expression,” Zhang said, in reference to the Alibaba-led shopping festival that centers on Nov. 11 each year.
Alibaba’s international business includes platforms such as AliExpress and Lazada, which primarily targets Southeast Asia. The international unit reported sales growth of 32% to $4.03 billion in the quarter ended June from a year ago.
That’s in contrast to a 1% year-on-year drop in sales to $15.6 billion for Alibaba’s main Taobao and Tmall e-commerce business, which has focused on China.
Nomura analysts expect that Alibaba’s international revenue slowed slightly to 29% year-on-year growth in the quarter ended September, while operating losses narrowed, according to an Oct. 10 report. Alibaba has yet to announce when it will release quarterly earnings.