A critical vulnerability in the popular MLflow platform was recently patched, which could have exposed AI and machine-learning models stored in the cloud and allowed for lateral movement. The vulnerability was discovered by Dan McInerney, a senior security engineer with cybersecurity startup Protect AI, and could have allowed attackers to extract sensitive information from servers such as SSH keys and AWS credentials.
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