CVE-2023-6569: CWE-73 External Control of File Name or Path in h2oai h2oai/h2o-3
External Control of File Name or Path in h2oai/h2o-3
AI Analysis
Technical Summary
CVE-2023-6569 is a critical vulnerability classified under CWE-73, which pertains to External Control of File Name or Path, found in the h2oai/h2o-3 product developed by h2oai. This vulnerability allows an attacker to manipulate file names or paths externally, potentially leading to unauthorized file operations. The CVSS v3.0 score of 9.3 indicates a critical severity level, with an attack vector that is network-based (AV:N), requiring no privileges (PR:N) and no user interaction (UI:N). The scope is changed (S:C), meaning the vulnerability can affect resources beyond the initially vulnerable component. The impact metrics show no confidentiality impact (C:N), but there is a high integrity impact (I:L) and a high availability impact (A:H). This suggests that while sensitive data confidentiality may not be compromised, the attacker can alter data integrity and cause significant disruption or denial of service. The vulnerability arises from improper validation or sanitization of file names or paths, allowing external actors to control these parameters, which can lead to overwriting critical files, executing unauthorized code, or causing application crashes. Although no specific affected versions are listed, the vulnerability is present in the h2oai/h2o-3 software, which is an open-source machine learning platform widely used for AI model development and deployment. No known exploits in the wild have been reported yet, and no patches have been linked at the time of publication. The vulnerability was reserved on December 7, 2023, and published on December 14, 2023, indicating recent discovery and disclosure.
Potential Impact
For European organizations, the impact of CVE-2023-6569 can be significant, especially those relying on h2oai/h2o-3 for AI and machine learning workloads. The ability to externally control file paths can lead to unauthorized modification or deletion of critical files, potentially corrupting AI models or data sets, which can disrupt business operations and decision-making processes. The high availability impact means services could be rendered unavailable, affecting productivity and possibly causing financial losses. Integrity loss could undermine trust in AI outputs, which is critical in sectors like finance, healthcare, and manufacturing. Additionally, since the vulnerability does not require authentication or user interaction, it can be exploited remotely and at scale, increasing the risk of widespread disruption. European organizations subject to strict data protection regulations (e.g., GDPR) may face compliance risks if the vulnerability leads to data loss or service outages. The lack of confidentiality impact reduces the risk of data breaches but does not eliminate the threat to operational continuity and data integrity.
Mitigation Recommendations
To mitigate CVE-2023-6569, European organizations should take immediate steps beyond generic patching advice: 1) Monitor and restrict network access to h2oai/h2o-3 instances, limiting exposure to trusted IP ranges and internal networks only. 2) Implement strict input validation and sanitization at the application layer to prevent external control of file paths, including whitelisting allowed file names and paths. 3) Employ runtime application self-protection (RASP) or file integrity monitoring tools to detect and block unauthorized file operations in real time. 4) Use containerization or sandboxing to isolate h2oai/h2o-3 processes, minimizing the impact of potential exploitation. 5) Regularly back up AI models and data sets with versioning to enable quick recovery from integrity or availability compromises. 6) Stay alert for official patches or updates from h2oai and apply them promptly once available. 7) Conduct penetration testing focused on path traversal and file manipulation attacks to identify and remediate weaknesses proactively. 8) Educate development and DevOps teams about secure coding practices related to file handling to prevent similar vulnerabilities in custom integrations.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Finland, Denmark, Ireland, Belgium, Switzerland
CVE-2023-6569: CWE-73 External Control of File Name or Path in h2oai h2oai/h2o-3
Description
External Control of File Name or Path in h2oai/h2o-3
AI-Powered Analysis
Technical Analysis
CVE-2023-6569 is a critical vulnerability classified under CWE-73, which pertains to External Control of File Name or Path, found in the h2oai/h2o-3 product developed by h2oai. This vulnerability allows an attacker to manipulate file names or paths externally, potentially leading to unauthorized file operations. The CVSS v3.0 score of 9.3 indicates a critical severity level, with an attack vector that is network-based (AV:N), requiring no privileges (PR:N) and no user interaction (UI:N). The scope is changed (S:C), meaning the vulnerability can affect resources beyond the initially vulnerable component. The impact metrics show no confidentiality impact (C:N), but there is a high integrity impact (I:L) and a high availability impact (A:H). This suggests that while sensitive data confidentiality may not be compromised, the attacker can alter data integrity and cause significant disruption or denial of service. The vulnerability arises from improper validation or sanitization of file names or paths, allowing external actors to control these parameters, which can lead to overwriting critical files, executing unauthorized code, or causing application crashes. Although no specific affected versions are listed, the vulnerability is present in the h2oai/h2o-3 software, which is an open-source machine learning platform widely used for AI model development and deployment. No known exploits in the wild have been reported yet, and no patches have been linked at the time of publication. The vulnerability was reserved on December 7, 2023, and published on December 14, 2023, indicating recent discovery and disclosure.
Potential Impact
For European organizations, the impact of CVE-2023-6569 can be significant, especially those relying on h2oai/h2o-3 for AI and machine learning workloads. The ability to externally control file paths can lead to unauthorized modification or deletion of critical files, potentially corrupting AI models or data sets, which can disrupt business operations and decision-making processes. The high availability impact means services could be rendered unavailable, affecting productivity and possibly causing financial losses. Integrity loss could undermine trust in AI outputs, which is critical in sectors like finance, healthcare, and manufacturing. Additionally, since the vulnerability does not require authentication or user interaction, it can be exploited remotely and at scale, increasing the risk of widespread disruption. European organizations subject to strict data protection regulations (e.g., GDPR) may face compliance risks if the vulnerability leads to data loss or service outages. The lack of confidentiality impact reduces the risk of data breaches but does not eliminate the threat to operational continuity and data integrity.
Mitigation Recommendations
To mitigate CVE-2023-6569, European organizations should take immediate steps beyond generic patching advice: 1) Monitor and restrict network access to h2oai/h2o-3 instances, limiting exposure to trusted IP ranges and internal networks only. 2) Implement strict input validation and sanitization at the application layer to prevent external control of file paths, including whitelisting allowed file names and paths. 3) Employ runtime application self-protection (RASP) or file integrity monitoring tools to detect and block unauthorized file operations in real time. 4) Use containerization or sandboxing to isolate h2oai/h2o-3 processes, minimizing the impact of potential exploitation. 5) Regularly back up AI models and data sets with versioning to enable quick recovery from integrity or availability compromises. 6) Stay alert for official patches or updates from h2oai and apply them promptly once available. 7) Conduct penetration testing focused on path traversal and file manipulation attacks to identify and remediate weaknesses proactively. 8) Educate development and DevOps teams about secure coding practices related to file handling to prevent similar vulnerabilities in custom integrations.
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- @huntr_ai
- Date Reserved
- 2023-12-07T09:31:22.686Z
- Cisa Enriched
- true
- Cvss Version
- 3.0
- State
- PUBLISHED
Threat ID: 682f64490acd01a2492644c2
Added to database: 5/22/2025, 5:52:09 PM
Last enriched: 7/8/2025, 8:56:46 AM
Last updated: 8/1/2025, 7:32:34 PM
Views: 10
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