Your Local LLM Is Not as Private as You Think
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Security vulnerability analysis of local LLMs, directly relevant to AI infrastructure.
Cyera Research disclosed CVE-2026-7482 (Bleeding Llama), a critical 9.1-rated heap out-of-bounds read in Ollama versions before 0.17.1, exploitable via three unauthenticated API calls to exfiltrate process memory containing prompts, API keys, and tool outputs. The vulnerability challenges the assumption that local LLM execution guarantees privacy, as Ollama servers often evolve from local experiments into shared infrastructure with exposed endpoints and egress paths. The disclosure timeline also revealed a security visibility gap between patch availability and clear release notes.