CVE-2024-6854
Path Traversal in H2O 3.46.0
Raw vector
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:HSummary
CVE-2024-6854 is a high-severity Absolute Path Traversal (CWE-36) vulnerability in H2O H2O. Its CVSS base score is 7.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 50% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Machine Learning Libraries; in the Supply Chain and Deployment risk domain.
The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) and AC-3 (Access Enforcement) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-6978
Vulnerability Data
In h2oai/h2o-3 version 3.46.0, the endpoint for exporting models does not restrict the export location, allowing an attacker to export a model to any file in the server's file structure, thereby overwriting it. This vulnerability can be exploited to overwrite…
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any file on the target server with a trained model file, although the content of the overwrite is not controllable by the attacker.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Machine Learning Libraries
- Risk Domain
- Supply Chain and Deployment
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: h2o
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Input validation directly stops construction of absolute paths from untrusted data before they reach file operations.
Enforced access authorizations can limit which resources are reachable even if a traversal succeeds.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly require input validation and path sanitization that prevent absolute path traversal.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development can detect absolute path traversal via static analysis and fuzzing.
Secure development lifecycle includes input validation and path-handling requirements that reduce absolute path traversal risk.
Application security requirements typically mandate controls against path traversal in file-access functions.
Secure architecture principles call for canonicalization and sandboxing that limit absolute path traversal.
Secure coding standards directly require neutralization of absolute path sequences in pathname construction.
Information access restriction limits which files can be reached but does not address the path-construction flaw itself.