An Undocumented Preference File Is All It Took to Hijack an AI Assistant
Hidden settings are just config files nobody threatened-modeled Here's the part that should bother you more than the exploit itself: this wasn't a zero-day in a cryptographic protocol or some exotic memory corruption bug. It was an undocumented preference setting. A flag nobody outside the dev team was supposed to know existed, sitting there waiting for any local process with write access to flip…
This is a report on a recently discovered vulnerability in an AI assistant. The issue lies in the fact that there exists an undocumented preference setting, a flag that was meant to remain unknown to anyone other than the development team. This setting is stored in a config file, a type of configuration file, that is accessible to any local process with write access.
The discovery of this vulnerability was made through Patrick Wardle's research, who demonstrated that an attacker could exploit this setting by repointing Meta Muse's voice dictation to their own endpoint, injecting instructions that the assistant would treat as trusted input, and subsequently extracting an authentication token.
This is a significant concern, as the token's scope is not limited to the compromised machine, but extends to any device signed into the same account. This means that a breach on one device could lead to persistent access to chat history, location tracking, and smart-home control across all devices where the assistant is used. This incident highlights the shift in security boundaries from being tied to a specific device or network segment to being associated with an identity that follows the user across multiple devices.
The vulnerability is not due to a flaw in the AI itself, but rather due to insufficient protection of a local configuration setting which enabled session hijacking. The incident has been underhyped in the media, as it has been framed as an "AI backdoor", when in fact it is a result of insufficiently protected local configuration enabling session hijacking.
The real issue at hand is the potential for cross-device account takeover, which requires minimal additional effort from the attacker. The vulnerability underscores the importance of treating AI assistant integrations as high-value targets during endpoint hardening, given that these assistants often hold durable, cross-device auth tokens that grant near-unlimited access to user data and device control.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
