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Local LLMs leak prompts via memory, logs and API
// FeaturedThu, 17 Sep 2026 • By Natalie Kestrel

Local LLMs leak prompts via memory, logs and API

New research shows local Large Language Model (LLM) setups leak prompts through memory residue, wrapper logs and faulty multi-tenant isolation. The team recovers plaintext from host memory post-inference, finds LM Studio logging prompts by default, and breaks llama.cpp tenant separation in 200/200 trials. A caching timing oracle stays visible over WAN.

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