A critical, unpatched vulnerability has been discovered in Ollama, a widely used open-source platform for running Large Language Models locally. Tracked as CVE-2026-5757, this severe memory leak allows unauthenticated remote attackers to extract sensitive data directly from a server’s heap. Discovered by security researcher Jeremy Brown via AI-assisted vulnerability research and disclosed publicly on April […] The post Hackers Can Exploit Ollama Model Uploads to Leak Sensitive Server Data appeared first on Cyber Security News.