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A Design Flaw in Share Links Exposes Users’ Personal Conversations With Meta’s Muse
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Dan Goodin, Ars Technica

· 1 min read

BusinessWIRED: AI

A Design Flaw in Share Links Exposes Users’ Personal Conversations With Meta’s Muse

Muse, the new general-purpose AI agent from Meta, can expose sensitive information when users share conversations through web links, researchers reported Monday. In response to questions from Ars about the behavior, Meta said it’s suspending the sharing feature while the company reviews it and considers making changes.

Like many online services, Muse has allowed users to share searches, conversations, images, and similar content with other people. Such share features usually involve clicking an option to create a unique URL that anyone can use to load a page hosting the content. To keep potentially sensitive information from being accessible to unintended people, the URLs typically contain a long sequence of text that can’t be easily guessed.

Muse, which Meta CEO Mark Zuckerberg said last month was “built from the ground up for privacy and security,” seems to take the same precautions. But a central design decision for constructing URLs has made the links easy to discover. As a result, researchers from security firm Claroc said they were able to enumerate 6,800 links Muse users created for sharing conversations with others. After opening a few hundred of them, the researchers found information that was clearly not intended to be publicly available, including:

  • a candidate’s notes preparing for a confidential executive-search call with a frontier AI lab, naming the lab’s internal contact and the meeting time;
  • a national marketing company’s internal revenue review, marked for its CEO;
  • a small-business owner’s loan application, with the amount requested;
  • a to-do list that included a bank fraud alert, with a partial account number and a transaction amount and time;
  • a real-estate investor’s internal performance report, with two property addresses and exact return, income, and mortgage figures;
  • a workplace’s full-year staff vacation calendar, listing dozens of employees against the week each one would be away;

Original source

This story was published by WIRED: AI and written by Dan Goodin, Ars Technica. SyncAI.news shows a preview; the complete article is on the publisher's site.

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