CVE-2024-6960

{"cve": {"data_type": "CVE", "references": {"reference_data": [{"url": "https://mvnrepository.com/artifact/ai.h2o/h2o-core", "name": "https://mvnrepository.com/artifact/ai.h2o/h2o-core", "tags": [], "refsource": ""}, {"url": "https://research.jfrog.com/vulnerabilities/h2o-model-deserialization-rce-jfsa-2024-001035518/", "name": "https://research.jfrog.com/vulnerabilities/h2o-model-deserialization-rce-jfsa-2024-001035518/", "tags": [], "refsource": ""}, {"url": "https://research.jfrog.com/vulnerabilities/h2o-model-deserialization-rce-jfsa-2024-001035518/", "name": "https://research.jfrog.com/vulnerabilities/h2o-model-deserialization-rce-jfsa-2024-001035518/", "tags": [], "refsource": ""}]}, "data_format": "MITRE", "description": {"description_data": [{"lang": "en", "value": "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."}]}, "problemtype": {"problemtype_data": [{"description": [{"lang": "en", "value": "CWE-502"}, {"lang": "en", "value": "CWE-502"}]}]}, "data_version": "4.0", "CVE_data_meta": {"ID": "CVE-2024-6960", "ASSIGNER": "security@jfrog.com"}}, "impact": {}, "publishedDate": "2024-07-21T10:15Z", "configurations": {"nodes": [], "CVE_data_version": "4.0"}, "lastModifiedDate": "2024-11-25T13:15Z"}