Critical AI Tool Vulnerabilities Let Attackers Execute Arbitrary Code

Multiple critical flaws in the supporting have been uncovered by , which raise the risk of takeover, theft of sensitive , model poisoning, unauthorized .

Affected are platforms that are essential for hosting and deploying large , including Ray, MLflow, ModelDB, and H20. While some vulnerabilities have been addressed, others have not received a .

Researchers discovered a wide of

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