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Security · 2h ago

Bleeding Llama Bug Exposes Local LLM Privacy Myth

By Meridian48 News Desk · Summarised from DEV Community ·

A critical vulnerability in Ollama, tracked as CVE-2026-7482, allows attackers to leak heap memory including prompts and API keys via three unauthenticated API calls. The bug, scored 9.1 critical, exploits a heap out-of-bounds read in GGUF model loading. It proves that running LLMs locally does not guarantee privacy, especially when services are exposed to networks.

Meridian48 take
The assumption that local AI is inherently private is dangerous; this vulnerability shows infrastructure security matters as much as data location.
Read the full reporting
Your Local LLM Is Not as Private as You Think →
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