Two developers say they got Meta's new AI agent Muse to hand over its entire root filesystem with almost no effort, exposing internal documentation and system files weeks after launch. Meta says the exported data came from an isolated per-user virtual machine, not shared infrastructure, but the incident lands as the company leans on Muse to power its next growth push.
Meta is facing scrutiny over its new AI agent Muse after two developers independently got the system to package up and export its entire root filesystem using minimal prompting. Developer Peter James first reported that Muse could be coaxed into sending system files and internal documentation to Google Drive. Researcher Jonny L. Saunders then replicated the result and called it "extremely easy."
What Muse exported
The archive Muse handed over ran to roughly 2.7 GB compressed and contained Ubuntu system files, application templates, and internal documentation — the full contents of the Linux environment the agent runs in. Saunders described Muse as having almost no resistance to prompt injection.
Meta disputes that this counts as a security breach. The company says Muse runs each user in a persistent, isolated Linux virtual machine using systemd-nspawn containers with user-level root mapping, so what the developers pulled was their own VM's filesystem rather than shared data or core infrastructure. That distinction is technically sound, but the exported files still included internal documentation and templates Meta presumably had not intended to distribute.
A rocky launch window
Muse debuted on September 8, 2026, rolling out across iOS, Android, and web as a personal AI agent meant to handle tasks like sending emails and booking travel. Meta had promoted VM isolation and a dedicated credential-management process called Sentinel as core safety features from launch.
The filesystem export surfaced around September 22, just two weeks into Muse's public run. Around the same period, Meta patched an undisclosed zero-day in the Muse macOS app that let unprivileged local processes redirect sensitive data through the dictation endpoint; the company called the practical risk low. Meta also runs a bug bounty program tied to Muse's launch, offering up to $300,000 for discovered vulnerabilities, with single-user prompt injection exploits like this one capped at $130,000.
Muse anchors a bigger push
The security questions come as Meta leans on Muse across its apps. Threads chief Connor Hayes told Business Insider the company is using the same promotional playbook that grew Threads to 500 million users to now push Muse to Instagram and Facebook users, tailoring promotions to specific tasks Muse can perform rather than generic awareness ads.
On the developer side, Meta's related Muse Spark coding model has climbed to number two on the OpenCode Go leaderboard. The platform credits it with more than 120 million sessions and 79 trillion developer tokens processed, though independent verification of those figures remains elusive. The model operates with closed weights, a shift from Meta's earlier open-weight Llama family, under a strategy the company calls personal superintelligence.
Sources: Crypto Briefing, Business Insider, Crypto Briefing
Trading involves risk.