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CVE-2024-6960

H2O deserializes ML models without filtering, potentially allowing execution of malicious code

High7.5EPSS 0.68%
Published
Updated
Reserved
Assigned by
JFROG

Description

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.

Scores

CVSS scores of CVE-2024-6960, by who scored it
Scored byCVSSScoreVector
JFROGCNA (assigner)3.1High7.5CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
NVDNVD · Deferred3.1High7.5CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS (exploitation in 30 days)
0.68% · top 47% of all CVEs (6 Nov 2026)
CISA SSVC
Exploitation: poc · Automatable: no · Technical impact: total
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The list uses the assigner's score when there is one, then CISA's, then NVD's: High 7.5.

Weakness

Affected products

  • ai.h2o:h2o-core

    • affected 0

Affected packages

From reviewed advisories of the GitHub Advisory Database.

References (2)

Sources

The same CVE in the primary databases and aggregators, to check against.

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Record last updated .