Critical AI Tool Vulnerabilities Let Attackers Execute Arbitrary Code

Multiple critical flaws in the infrastructure supporting AI models have been uncovered by researchers, which raise the risk of server takeover, theft of sensitive information, model poisoning, and unauthorized access. Affected are platforms that are essential for hosting and deploying large language models, including Ray, MLflow, ModelDB, and H20. While some vulnerabilities have been addressed, others have not received a […]

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