Ollama vulnerability highlights danger of AI frameworks with unrestricted access

A critical vulnerability in Ollama poses a direct risk of sensitive information leaks to more than 300,000 internet-exposed servers, researchers have found. The flaw, tracked as CVE-2026-7482, stems from an out-of-bounds heap read in Ollama’s model quantization pipeline. Ollama is one of the most popular frameworks for running AI models on local hardware.