Critical flaw in AI testing framework MLflow can lead to server and data compromise
MLflow, an open-source framework that’s used by many organizations to manage their machine-learning tests and record results, received a patch for a critical vulnerability that could allow attackers to extract sensitive information from servers such as SSH keys and AWS credentials. The attacks can be executed remotely without authentication because MLflow doesn’t implement authentication by […]
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