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Total Fitness UK caught exposing 500k images of members, staff

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TLDR:

  • Cybersecurity researcher Jeremiah Fowler discovered a non-password-protected database containing 474,651 images belonging to Total Fitness.
  • The exposed images raise serious privacy concerns due to potential risks of AI-generated deepfakes and criminal activities.

Cybersecurity researcher Jeremiah Fowler discovered a non-password-protected database containing 474,651 images belonging to Total Fitness, a health club chain with 15 locations across North England and Wales. The database, which was 47.7 GB in size, included personal screenshots, profile pictures of members and their children, and facial images of gym employees. Some images contained highly sensitive information such as passports, credit cards, and utility bills. Fowler reported the breach to vpnMentor, and the database was closed nearly a week later. However, it remains unclear how long the database was publicly accessible or if anyone else gained access.

The exposed images raise serious privacy concerns, especially in the age of artificial intelligence (AI) and facial recognition technology. Criminals could use these images for impersonation, fraud, blackmail, or other malicious activities. Fowler highlighted the risks of AI-generated deepfakes, which can be used to create compromising or sexually explicit content involving the victim’s likeness. The breach underscores the need for companies to implement robust data security measures to protect the personal information of their members and employees.

Total Fitness has taken steps to address the issue, including conducting a full audit of all member images and notifying the Information Commissioner’s Office (ICO). The company stated, “We are communicating to all members whose images we have identified, and such images have been removed.” They emphasized their commitment to protecting their members’ privacy and ensuring such incidents do not recur. Fowler commended Total Fitness for their professionalism and responsibility in handling the data incident.

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