Cybersecurity researchers have disclosed a critical security vulnerability in Ollama that, if successfully exploited, could allow a remote, unauthenticated attacker to leak its entire process memory. The out-of-bounds read flaw, which likely impacts over 300,000 servers globally, is tracked as CVE-2026-7482 (CVSS score: 9.1). It has been codenamed Bleeding Llama by Cyera. Ollama is a
Tag: Ollama
AI, Apps, Endpoint, Exploits, Global Security News, Network Security, Risk Management
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. The flaw…