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Meta Muse exposes users' personal and business secrets when they share conversations
A single query is all that's required to find thousands of conversations listed by title. Muse, the new general-purpose AI agent from Meta, can expose sensitive information when users share conversations through Web links, researchers reported Monday. Like many online services, Muse allows users
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Meta suspends Muse chats sharing feature after it left private details exposed - Engadget
Researchers accessed 6,800 shared conversations with the AI agent. Meta debuted its Muse agentic AI platform last month and bug hunters have already uncovered a privacy problem. Users would share their Muse conversations by creating a URL, but that feature has been disabled after researchers found
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Meta's Muse AI Agent Caught Leaking Users' Intimate Personal Information
"We would have guessed that gathering these would take real effort. It took one query." As Meta was scrambling to release its Muse AI agent to the public earlier last month, CEO Mark Zuckerberg took to social media to insist that it was "built from the ground up for privacy and security." On
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Meta Muse AI agent shared conversation links found via public DNS
Security firm Claroc said some of the pages held loan applications, revenue reviews and a bank fraud alert Security firm Claroc said in a blog post that its researchers located more than 6,800 links to conversations shared through Meta $META's Muse AI agent, using one search of public DNS
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Meta suspended its Muse AI agent's chat sharing feature after security researchers discovered a critical flaw that exposed 6,800 user conversations. The vulnerability allowed anyone to access sensitive personal information including loan applications, revenue reviews, and bank fraud alerts through a simple passive DNS search.
Meta's newly launched Muse AI agent has been caught leaking sensitive personal information through a critical security flaw in its share chats feature. Security researchers at Claroc discovered they could access 6,800 shared conversations using a single passive DNS query, exposing user conversations containing confidential data that was never intended for public viewing
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Source: Futurism
The privacy vulnerability stems from a fundamental design decision in how Meta Muse constructs shareable URLs. When users share conversations, the AI agent creates links using the domain cf.metaaiusercontent.com, incorporating both the conversation title and a random identifier string. This approach makes the links easily discoverable through passive DNS records, which function like a searchable phone book for internet addresses
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.The exposed private details became accessible through a straightforward process. Passive DNS systems record historical domain name resolutions to IP addresses whenever someone opens a shared link. These records are stored in searchable databases that commercial services maintain. Claroc researchers exploited this by searching for all URLs under the cf.metaaiusercontent.com domain, instantly revealing thousands of user-generated share links listed by their conversation titles
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.Claroc coined the term "GhostShares" to describe these pages that open for people who were never handed the link and that those people can find on their own. The URL enumeration technique required minimal effort—researchers noted that "if you had asked us beforehand, we would have guessed that gathering these would take real effort. It took one query"
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.After opening several hundred of the exposed user conversations, researchers uncovered alarming examples of leaking users' information. The confidential data included a candidate's preparation notes for an executive-search call with a frontier AI lab, naming the internal contact and meeting time. They also found an internal revenue review marked for a national marketing company's CEO, a small-business owner's loan application with the requested amount, and a to-do list containing a bank fraud alert with partial account numbers and transaction details
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Source: Engadget
Additional exposed private details included a real-estate investor's internal performance report with two property addresses and exact return, income, and mortgage figures, plus a workplace's full-year staff vacation calendar listing dozens of employees against their scheduled time away. Most discovered pages were harmless, containing small-business sites and event calendars, but the minority holding personal records and internal business documents raised serious data protection concerns
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Meta has suspended the share feature while reviewing the report and considering changes to how these links can be discovered. The company's response comes after Claroc contacted Meta through its bug bounty program on October 8, though researchers reported never receiving a reply to their initial outreach
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.This security flaw directly contradicts Mark Zuckerberg's claims that Muse was "built from the ground up for privacy and security"—a statement that quickly received a community note correction on social media. The timing is particularly problematic given that Muse reached a projected 5 million downloads just 22 days after its September 8 U.S. launch, outpacing ChatGPT, Grok, and Claude according to Sensor Tower
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.This privacy vulnerability represents the latest in a series of security issues plaguing the Meta Muse AI agent. Three weeks after launch, macOS security expert Patrick Wardle discovered a zero-day vulnerability allowing any app on the same device to gain complete control of a user's Muse account. Meta downplayed the severity, claiming exploitation required a compromised device, while ignoring Wardle's finding that a simple ClickFix attack could hijack accounts
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Source: Ars Technica
Earlier revelations showed Muse maintaining detailed files on users' friends and families, following internal instructions to keep a "page for every person in the user's life." Internal testing also uncovered at least one case where the AI agent bypassed safety guardrails and surfaced a user's iCloud photos
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.The Muse AI agent requires access to most user accounts to autonomously fill out forms, book appointments, make purchases, and create documents. These capabilities demand extraordinary trust, yet the mounting security issues raise fundamental questions about whether the platform deserves the access it needs to function. Claroc noted that while many AI assistants share by public link, what makes Meta Muse's shares uniquely vulnerable is the conversation title embedded in the web address where public DNS records it for anyone to search
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