Jump to content
  • Finance worker pays out $25 million after video call with deepfake ‘chief financial officer

    lurch234

    • 2 comments
    • 645 views
    • 3 minutes
     Share


    • 2 comments
    • 645 views
    • 3 minutes

    Finance worker pays out $25 million after video call with deepfake ‘chief financial officer

     
    By Heather Chen and Kathleen Magramo, CNN
    2 minute read
    Published 2:31 AM EST, Sun February 4, 2024
     

    A finance worker at a multinational firm was tricked into paying out $25 million to fraudsters using deepfake technology to pose as the company’s chief financial officer in a video conference call, according to Hong Kong police.

     

    The elaborate scam saw the worker duped into attending a video call with what he thought were several other members of staff, but all of whom were in fact deepfake recreations, Hong Kong police said at a briefing on Friday.

     

    “(In the) multi-person video conference, it turns out that everyone [he saw] was fake,” senior superintendent Baron Chan Shun-ching told the city’s public broadcaster RTHK.

     
    Chan said the worker had grown suspicious after he received a message that was purportedly from the company’s UK-based chief financial officer. Initially, the worker suspected it was a phishing email, as it talked of the need for a secret transaction to be carried out.

     

    However, the worker put aside his early doubts after the video call because other people in attendance had looked and sounded just like colleagues he recognized, Chan said.

     

    f_webp

    Hong Kong's famous skyline.

    Dale De La Rey / AFP

     

    Believing everyone else on the call was real, the worker agreed to remit a total of $200 million Hong Kong dollars – about $25.6 million, the police officer added.

     
    SourceThe case is one of several recent episodes in which fraudsters are believed to have used deepfake technology to modify publicly available video and other footage to cheat people out of money.

     

    At the press briefing Friday, Hong Kong police said they had made six arrests in connection with such scams.

     

    Chan said that eight stolen Hong Kong identity cards – all of which had been reported as lost by their owners – were used to make 90 loan applications and 54 bank account registrations between July and September last year.

     

    On at least 20 occasions, AI deepfakes had been used to trick facial recognition programs by imitating the people pictured on the identity cards, according to police.

     

    The scam involving the fake CFO was only discovered when the employee later checked with the corporation’s head office.

     

    Hong Kong police did not reveal the name or details of the company or the worker.

     

    Authorities across the world are growing increasingly concerned at the sophistication of deepfake technology and the nefarious uses it can be put to.

     

    At the end of January, pornographic, AI-generated images of the American pop star Taylor Swift spread across social media, underscoring the damaging potential posed by artificial intelligence technology.

     

    The photos - which show the singer in sexually suggestive and explicit positions - were viewed tens of millions of times before being removed from social platforms.

     

    Source

     

     


    User Feedback

    Recommended Comments



    Join the conversation

    You can post now and register later. If you have an account, sign in now to post with your account.
    Note: Your post will require moderator approval before it will be visible.

    Guest
    Add a comment...

    ×   Pasted as rich text.   Paste as plain text instead

      Only 75 emoji are allowed.

    ×   Your link has been automatically embedded.   Display as a link instead

    ×   Your previous content has been restored.   Clear editor

    ×   You cannot paste images directly. Upload or insert images from URL.


  • Recently Browsing   0 members

    • No registered users viewing this page.
×
×
  • Create New...