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GHSA-w36w-948j-xhfw: H2O vulnerable to Deserialization of Untrusted Data

The H2O machine learning platform uses “Iced” classes as the primary means of moving Java Objects around the cluster. The Iced format supports inclusion of serialized Java objects. When a model is deserialized, any class is allowed to be deserialized (no class whitelist). An attacker can construct a crafted Iced model that uses Java gadgets and leads to arbitrary code execution when imported to the H2O platform.

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H2O vulnerable to Deserialization of Untrusted Data

High severity GitHub Reviewed Published Jul 21, 2024 to the GitHub Advisory Database • Updated Jul 22, 2024

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