{"data":{"id":"5045a9a1-45a2-42ce-9d37-799f920a6574","title":"Ollama vulnerability highlights danger of AI frameworks with unrestricted access","summary":"Ollama, a popular framework for running AI models locally, has a critical vulnerability (CVE-2026-7482, called Bleeding Llama) that allows attackers to steal sensitive data like passwords, chat messages, and system secrets from over 300,000 exposed servers. The flaw lets unauthenticated attackers upload a specially crafted file that tricks Ollama into reading memory beyond its intended boundaries, and the vulnerability is easy to exploit because Ollama has no authentication enabled by default.","solution":"Users should update to Ollama version 0.17.1, which includes a patch for this vulnerability. Additionally, deploy an authentication proxy or API gateway (a security layer that controls access) in front of all Ollama instances and never expose them to the internet without IP access filters and firewalls. If your Ollama server was internet-accessible, assume environment variables and secrets in memory may be compromised and rotate API keys, tokens, and credentials immediately. On local networks, Ollama servers should be isolated on secure network segments and behind firewalls.","labels":["security"],"sourceUrl":"https://www.csoonline.com/article/4168584/ollama-vulnerability-highlights-danger-of-ai-frameworks-with-unrestricted-access.html","publishedAt":"2026-05-07T21:14:16.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"high","attackType":["data_extraction"],"issueType":"news","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["Ollama"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-05-07T21:14:16.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"inference","llmSpecific":true,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}