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Meta Suspends Muse Sharing Feature Due To Design Flaw

Muse's conversation sharing links can be easily discovered, exposing sensitive user information. Meta has suspended the feature while reviewing and considering changes.

Original reporting · wired.com

Original: “A Design Flaw in Share Links Exposes Users’ Personal Conversations With Meta’s Muse”

Read “A Design Flaw in Share Links Exposes Users’ Personal Conversations With Meta’s Muse” at WIRED AI →
A Design Flaw in Share Links Exposes Users’ Personal Conversations With Meta’s Muse
Image: WIRED AI

How this was written. GDS wrote this article with a language model from WIRED AI’s reporting (model: @cf/meta/llama-3.3-70b-instruct-fp8-fast); it describes that reporting rather than adding to it. The original, linked above, is the full story.

Key points from WIRED AI’s report

  • Meta's Muse has a design flaw that makes shared conversation links easily discoverable, potentially exposing sensitive user information.
  • The issue has led to the suspension of the sharing feature while Meta reviews and considers changes.
  • Researchers were able to discover and access numerous links, revealing confidential business and personal information.
  • The discovery has raised concerns about the security and privacy of Muse, which was marketed as a platform built with privacy and security in mind.
  • Meta is re-examining its sharing feature and considering changes to address the issue.

Researchers have found a design flaw in Meta's Muse that allows shared conversation links to be easily discovered, potentially exposing sensitive user information. According to WIRED AI, this flaw has led to the suspension of the sharing feature. Muse, a general-purpose AI agent, had allowed users to share conversations and other content with others via unique URLs.

The issue arises from the way these URLs are constructed, making them simple to find. Typically, such links contain a long sequence of text that is difficult to guess, but Muse's approach has made them more accessible. As a result, researchers from security firm Claroc were able to find and access numerous links, revealing confidential information.

The discovered information included sensitive business data, personal financial details, and other private information. This has raised concerns about the security and privacy of Muse, which was marketed as a platform built with privacy and security in mind. Meta CEO Mark Zuckerberg had emphasized Muse's focus on privacy and security when it was launched.

The researchers were able to find the links by utilizing a common technique that involves searching historical domain name records. This method allowed them to discover over 6,800 links, which they were then able to access and view the shared content. The ease with which they were able to do this has highlighted the need for Meta to re-examine its sharing feature.

Meta has responded to the discovery by suspending the sharing feature while it reviews the issue and considers making changes. The company had opened a bug bounty program to encourage researchers to identify and report potential security vulnerabilities. Through this program, the researchers were able to report their findings and bring the issue to Meta's attention.

The discovery of this flaw has also raised questions about the level of access that Muse requires to function. As a highly autonomous AI assistant, Muse needs access to a wide range of user accounts and information. This has led some to question whether Muse is worthy of the trust it requires, particularly in light of previous security concerns.

The issue is not the first security concern to affect Muse. Previously, a zero-day vulnerability was discovered that could have allowed other apps to gain control of a user's Muse account. While Meta downplayed the severity of this vulnerability, it has contributed to ongoing concerns about the security and privacy of the platform.

Questions and answers

What is the issue with Meta's Muse?

The issue is a design flaw that makes shared conversation links easily discoverable, potentially exposing sensitive user information.

How did researchers discover the links?

The researchers were able to find the links by utilizing a common technique that involves searching historical domain name records.

What is Meta doing to address the issue?

Meta has suspended the sharing feature while it reviews the issue and considers making changes to address the flaw.

Read the full story at WIRED AI More from Thursday, October 22, 2026’s edition