CVE-2024-6960
H2O deserializes ML models without filtering, potentially allowing execution of malicious code
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.
No summary for this CVE yet.
CVSS Vector Breakdown
Exploitability
AV:NAttack VectorNetwork
AC:HAttack ComplexityHigh
PR:NPrivileges RequiredNone
UI:RUser InteractionRequired
Scope
S:UScopeUnchanged
Impact
C:HConfidentialityHigh
I:HIntegrityHigh
A:HAvailabilityHigh
Weaknesses
Affected Products
Maven
package-ecosystem
H2O.ai, Inc.
commercial·US
and 1 more affected products View all →
Exploitability
Official Patch Available
Attack Graph
Products CVE Techniques Tactics
Click technique nodes for MITRE ATT&CK details · drag to pan · Ctrl/⌘ + scroll to zoom, or go fullscreen.
MITRE ATT&CK
3 techniques Execution
Initial Access
References
https://research.jfrog.com/vulnerabilities/h2o-model-deserialization-rce-jfsa-2024-001035518/
research.jfrog.com
https://mvnrepository.com/artifact/ai.h2o/h2o-core
mvnrepository.com
https://nvd.nist.gov/vuln/detail/CVE-2024-6960
nvd.nist.gov
and 6 more references View all →
Unlock Complete Vulnerability Intelligence
Get the full picture for CVE-2024-6960 and every CVE in our database. Create a free account — no credit card required.
Create Free AccountPlain-language analysis
Impact assessment and exploitation scenario in plain English
Attack graph visualization
Interactive attack path and kill chain mapping
Exploit details & PoC links
ExploitDB, Metasploit, GitHub PoCs with direct links
Nuclei scanner templates
Ready-to-use vulnerability scanner templates
Full remediation guide
Patch instructions, workarounds, and compliance impact
Interactive AI chat
Ask questions about this vulnerability in natural language
Related vulnerabilities
Semantically similar CVEs and attack patterns
REST API & MCP access
Integrate vulnerability data into your workflows
