FKIE_CVE-2024-6960
Vulnerability from fkie_nvd - Published: 2024-07-21 10:15 - Updated: 2026-04-15 00:35
Severity
Summary
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.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"cveTags": [],
"descriptions": [
{
"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."
},
{
"lang": "es",
"value": "La plataforma de aprendizaje autom\u00e1tico H2O utiliza clases \"Iced\" como medio principal para mover objetos Java por el cl\u00faster. El formato Iced admite la inclusi\u00f3n de objetos Java serializados. Cuando se deserializa un modelo, se permite deserializar cualquier clase (sin lista blanca de clases). Un atacante puede construir un modelo Iced manipulado que utiliza dispositivos Java y conduce a la ejecuci\u00f3n de c\u00f3digo arbitrario cuando se importa a la plataforma H2O."
}
],
"id": "CVE-2024-6960",
"lastModified": "2026-04-15T00:35:42.020",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.6,
"impactScore": 5.9,
"source": "reefs@jfrog.com",
"type": "Secondary"
}
]
},
"published": "2024-07-21T10:15:04.497",
"references": [
{
"source": "reefs@jfrog.com",
"url": "https://research.jfrog.com/vulnerabilities/h2o-model-deserialization-rce-jfsa-2024-001035518/"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://research.jfrog.com/vulnerabilities/h2o-model-deserialization-rce-jfsa-2024-001035518/"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://mvnrepository.com/artifact/ai.h2o/h2o-core"
}
],
"sourceIdentifier": "reefs@jfrog.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-502"
}
],
"source": "reefs@jfrog.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-502"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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