CVE-2025-23266: CWE-426: Untrusted Search Path in NVIDIA Container Toolkit
NVIDIA Container Toolkit for all platforms contains a vulnerability in some hooks used to initialize the container, where an attacker could execute arbitrary code with elevated permissions. A successful exploit of this vulnerability might lead to escalation of privileges, data tampering, information disclosure, and denial of service.
AI Analysis
Technical Summary
CVE-2025-23266 is an untrusted search path vulnerability (CWE-426) found in the NVIDIA Container Toolkit and NVIDIA GPU Operator. This vulnerability arises from insecure handling of hooks during container initialization, where the software searches for executables or libraries in directories that can be influenced by an attacker. If an attacker can place a malicious executable or library in a location that is searched before the legitimate one, they can cause the container initialization process to execute arbitrary code with elevated privileges. This flaw affects all versions of the NVIDIA Container Toolkit up to and including 1.17.7, with CDI mode affected in versions prior to 1.17.5, and NVIDIA GPU Operator up to 25.3.0 (CDI mode). The vulnerability allows attackers with low privileges (local or network) to escalate their privileges without requiring user interaction, potentially leading to full system compromise. The impact includes unauthorized data access, modification, and disruption of services. The vulnerability is critical, with a CVSS v3.1 score of 9.0, reflecting its ease of exploitation and severe consequences. Although no public exploits are currently known, the widespread use of NVIDIA GPUs in containerized environments for AI, machine learning, and HPC workloads makes this a significant risk. The vulnerability highlights the importance of secure path handling in container runtimes and GPU operator software.
Potential Impact
The potential impact of CVE-2025-23266 is severe for organizations using NVIDIA Container Toolkit and GPU Operator in containerized environments. Successful exploitation can lead to privilege escalation, allowing attackers to gain elevated permissions beyond their initial access level. This can result in unauthorized data tampering, leakage of sensitive information, and disruption of critical services through denial of service attacks. Organizations relying on GPU-accelerated workloads for AI, machine learning, scientific computing, and cloud services are particularly at risk, as compromised containers could lead to broader infrastructure compromise. The vulnerability undermines the integrity and confidentiality of containerized applications and the host systems. Given the critical nature and ease of exploitation, attackers could leverage this flaw to move laterally within networks or establish persistent footholds. The absence of known exploits in the wild currently provides a window for proactive mitigation, but the risk of future exploitation remains high.
Mitigation Recommendations
To mitigate CVE-2025-23266, organizations should immediately upgrade to patched versions of the NVIDIA Container Toolkit and NVIDIA GPU Operator once they are released by NVIDIA. Until patches are available, implement the following specific measures: 1) Restrict write permissions on directories and environment variables involved in container initialization to trusted users only, preventing attackers from placing malicious executables or libraries in search paths. 2) Use container runtime security features such as seccomp, AppArmor, or SELinux to limit the capabilities of container processes and reduce the impact of potential code execution. 3) Employ strict image signing and verification to ensure only trusted container images are deployed. 4) Monitor container initialization logs and system audit logs for unusual activity indicative of exploitation attempts. 5) Isolate GPU-enabled containers in dedicated namespaces or hosts to limit lateral movement if compromise occurs. 6) Regularly review and harden container orchestration configurations to minimize exposure. 7) Educate DevOps and security teams about the risks of untrusted search paths and enforce secure coding and deployment practices. These targeted actions go beyond generic advice and address the root cause of the vulnerability.
Affected Countries
United States, China, Germany, Japan, South Korea, France, United Kingdom, Canada, India, Australia
CVE-2025-23266: CWE-426: Untrusted Search Path in NVIDIA Container Toolkit
Description
NVIDIA Container Toolkit for all platforms contains a vulnerability in some hooks used to initialize the container, where an attacker could execute arbitrary code with elevated permissions. A successful exploit of this vulnerability might lead to escalation of privileges, data tampering, information disclosure, and denial of service.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-23266 is an untrusted search path vulnerability (CWE-426) found in the NVIDIA Container Toolkit and NVIDIA GPU Operator. This vulnerability arises from insecure handling of hooks during container initialization, where the software searches for executables or libraries in directories that can be influenced by an attacker. If an attacker can place a malicious executable or library in a location that is searched before the legitimate one, they can cause the container initialization process to execute arbitrary code with elevated privileges. This flaw affects all versions of the NVIDIA Container Toolkit up to and including 1.17.7, with CDI mode affected in versions prior to 1.17.5, and NVIDIA GPU Operator up to 25.3.0 (CDI mode). The vulnerability allows attackers with low privileges (local or network) to escalate their privileges without requiring user interaction, potentially leading to full system compromise. The impact includes unauthorized data access, modification, and disruption of services. The vulnerability is critical, with a CVSS v3.1 score of 9.0, reflecting its ease of exploitation and severe consequences. Although no public exploits are currently known, the widespread use of NVIDIA GPUs in containerized environments for AI, machine learning, and HPC workloads makes this a significant risk. The vulnerability highlights the importance of secure path handling in container runtimes and GPU operator software.
Potential Impact
The potential impact of CVE-2025-23266 is severe for organizations using NVIDIA Container Toolkit and GPU Operator in containerized environments. Successful exploitation can lead to privilege escalation, allowing attackers to gain elevated permissions beyond their initial access level. This can result in unauthorized data tampering, leakage of sensitive information, and disruption of critical services through denial of service attacks. Organizations relying on GPU-accelerated workloads for AI, machine learning, scientific computing, and cloud services are particularly at risk, as compromised containers could lead to broader infrastructure compromise. The vulnerability undermines the integrity and confidentiality of containerized applications and the host systems. Given the critical nature and ease of exploitation, attackers could leverage this flaw to move laterally within networks or establish persistent footholds. The absence of known exploits in the wild currently provides a window for proactive mitigation, but the risk of future exploitation remains high.
Mitigation Recommendations
To mitigate CVE-2025-23266, organizations should immediately upgrade to patched versions of the NVIDIA Container Toolkit and NVIDIA GPU Operator once they are released by NVIDIA. Until patches are available, implement the following specific measures: 1) Restrict write permissions on directories and environment variables involved in container initialization to trusted users only, preventing attackers from placing malicious executables or libraries in search paths. 2) Use container runtime security features such as seccomp, AppArmor, or SELinux to limit the capabilities of container processes and reduce the impact of potential code execution. 3) Employ strict image signing and verification to ensure only trusted container images are deployed. 4) Monitor container initialization logs and system audit logs for unusual activity indicative of exploitation attempts. 5) Isolate GPU-enabled containers in dedicated namespaces or hosts to limit lateral movement if compromise occurs. 6) Regularly review and harden container orchestration configurations to minimize exposure. 7) Educate DevOps and security teams about the risks of untrusted search paths and enforce secure coding and deployment practices. These targeted actions go beyond generic advice and address the root cause of the vulnerability.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- nvidia
- Date Reserved
- 2025-01-14T01:06:23.291Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 68794c09a83201eaace85092
Added to database: 7/17/2025, 7:16:25 PM
Last enriched: 2/27/2026, 12:58:47 AM
Last updated: 3/26/2026, 9:39:03 AM
Views: 186
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