Executive Summary:
A high-severity vulnerability has been identified in the NVIDIA Resiliency Extension for Linux. An attacker with access to an affected system could exploit a race condition in the checkpointing core, potentially leading to system instability, denial of service, or data corruption. Organizations using affected NVIDIA products are urged to apply vendor-supplied security updates to mitigate this risk.

Vulnerability Details

CVE-ID: CVE-2025-33235

Affected Software: NVIDIA Multiple Products

Affected Versions: See vendor advisory for specific affected versions

Vulnerability: The NVIDIA Resiliency Extension for Linux contains a race condition vulnerability within its checkpointing core. An attacker with local access to a vulnerable system can exploit this flaw by manipulating the timing and sequence of specific operations handled by the checkpointing process. Successful exploitation could corrupt memory or system state, leading to a denial of service (system crash) or other undefined behavior, potentially impacting data integrity.

Business Impact

This vulnerability is rated as High severity with a CVSS score of 7.8. Exploitation could lead to significant disruption of business operations that rely on systems equipped with affected NVIDIA hardware, particularly in high-performance computing (HPC) or data center environments. The primary risks include unexpected system downtime due to denial of service, loss of data integrity from corrupted checkpoints, and the potential for reputational damage if critical services are impacted. The requirement for local access reduces the likelihood of remote attack, but the vulnerability remains a serious threat in multi-user environments or if an attacker gains an initial foothold via other means.

Remediation Plan

Immediate Action: The primary remediation is to apply the security updates provided by NVIDIA across all affected systems as soon as possible. Before deploying the patch, organizations should test it in a non-production environment to ensure compatibility and stability. After patching, review system and application logs for any signs of pre-patch exploitation attempts.

Proactive Monitoring: Implement enhanced monitoring on critical systems utilizing the NVIDIA Resiliency Extension. Security teams should look for anomalous system behavior, including unexpected crashes, errors in logs related to the checkpointing core, and unusual CPU or memory usage associated with NVIDIA processes. Configure SIEM alerts to flag repeated failed access attempts or errors that could indicate an ongoing exploitation attempt.

Compensating Controls: If immediate patching is not feasible, organizations should implement compensating controls to reduce the risk. Restrict interactive and shell access to affected systems to only authorized and trusted administrative personnel. Employ the principle of least privilege to ensure user accounts do not have unnecessary permissions. If possible, use application control solutions to prevent the execution of unauthorized code that could be used to trigger the race condition.

Exploitation Status

Public Exploit Available: false

Analyst Notes: As of December 17, 2025, there are no known public proof-of-concept exploits or reports of this vulnerability being actively exploited in the wild. However, vulnerabilities of this nature are often targeted by threat actors for developing local privilege escalation or denial-of-service tools. The vulnerability requires local system access, making it a post-compromise tool rather than an initial access vector.

Analyst Recommendation

Given the High severity rating (CVSS 7.8) and the potential for service disruption and data corruption, it is strongly recommended that organizations prioritize the deployment of the vendor-supplied patches for CVE-2025-33235. While this vulnerability is not currently listed on the CISA KEV catalog, its high impact warrants immediate attention. Patching should be expedited on all critical production systems, especially those in multi-user or high-value environments.

Executive Summary:
A critical deserialization vulnerability has been identified in NVIDIA Isaac Lab, affecting multiple products. A successful exploit of this vulnerability could allow a remote attacker to execute arbitrary code on the affected system, potentially leading to a complete system compromise.

Vulnerability Details

CVE-ID: CVE-2025-33210

Affected Software: NVIDIA Isaac Lab contains a deserialization Multiple Products

Affected Versions: See vendor advisory for specific affected versions

Vulnerability: The vulnerability exists within the data deserialization process of NVIDIA Isaac Lab. An attacker can craft a malicious data stream or object and send it to the application. When the application attempts to deserialize this malicious data, it can trigger the execution of arbitrary code with the privileges of the running application, leading to a full system compromise.

Business Impact

This vulnerability is rated as critical severity with a CVSS score of 9.0. A successful exploit could grant an attacker complete control over systems running the affected NVIDIA software. This could lead to severe business consequences, including theft of sensitive intellectual property, disruption of critical robotics research and simulation operations, deployment of ransomware, or using the compromised system as a pivot point to attack other internal network resources.

Remediation Plan

Immediate Action: Update NVIDIA Isaac Lab contains a deserialization Multiple Products to the latest version as recommended by the vendor. Prioritize patching on internet-facing or mission-critical systems.

Proactive Monitoring: After patching, monitor for any signs of exploitation attempts. Review application and system logs for unusual error messages related to serialization, unexpected process execution, or outbound network connections from the affected systems.

Compensating Controls: If patching is not immediately possible, consider implementing the following controls:

• Restrict network access to the affected application to only trusted hosts and users.
• Deploy an Intrusion Prevention System (IPS) with rules to detect and block common deserialization attack patterns.
• Implement enhanced monitoring and logging on vulnerable systems to detect anomalous activity.

Exploitation Status

Public Exploit Available: false

Analyst Notes: As of the publication date of Dec 16, 2025, there are no known public exploits or active exploitation campaigns targeting this vulnerability. The vulnerability is not currently listed on the CISA Known Exploited Vulnerabilities (KEV) catalog.

Analyst Recommendation

Given the critical severity (CVSS 9.0) and the potential for remote code execution, it is strongly recommended that the organization prioritizes the immediate application of vendor-supplied patches to all affected systems. Although there is no known active exploitation at this time, vulnerabilities of this severity are attractive targets for threat actors. If patching cannot be performed immediately, implement the suggested compensating controls to reduce the attack surface and monitor systems closely for any signs of compromise.

Executive Summary:
A high-severity vulnerability has been discovered in the NVIDIA NeMo Agent Toolkit UI, which could allow a remote attacker to force the server to make unauthorized network requests. Successful exploitation could enable an attacker to scan internal networks, access sensitive internal services, and potentially exfiltrate confidential data, posing a significant risk to the organization's security posture.

Vulnerability Details

CVE-ID: CVE-2025-33203

Affected Software: NVIDIA Multiple Products

Affected Versions: See vendor advisory for specific affected versions

Vulnerability: This vulnerability is a Server-Side Request Forgery (SSRF) located in the chat API endpoint of the NVIDIA NeMo Agent Toolkit UI for Web. An unauthenticated remote attacker can craft a malicious request to this API endpoint, embedding a URL or IP address. The vulnerable application fails to properly validate this user-supplied input, causing the server to initiate a network connection to the attacker-specified destination on its own behalf, effectively acting as a proxy. This allows the attacker to bypass firewall restrictions and interact with systems on the server's internal network or access cloud metadata services.

Business Impact

This vulnerability is rated as High severity with a CVSS score of 7.6. Exploitation could lead to significant business consequences, including the compromise of confidential data, disruption of internal services, and unauthorized access to the internal network. Specific risks include an attacker using the server to scan for other vulnerable systems, accessing internal databases or APIs that are not exposed to the internet, and exfiltrating sensitive corporate or customer data. The ability to make requests from a trusted internal server can allow an attacker to bypass perimeter security controls, making detection and response more difficult.

Remediation Plan

Immediate Action: Apply the security updates provided by NVIDIA to all affected systems immediately. After patching, review web server and application logs for any signs of exploitation that may have occurred prior to remediation.

Proactive Monitoring:

• Log Analysis: Scrutinize web server and application logs for the NeMo Agent Toolkit UI. Look for unusual requests to the chat API endpoint, particularly those containing URLs, internal IP addresses (e.g., 127.0.0.1, 10.x.x.x, 192.168.x.x), or calls to cloud provider metadata services (e.g., 169.254.169.254).
• Network Traffic: Monitor outbound network traffic from the servers hosting the affected software. Investigate any connections to unexpected internal or external IP addresses and ports that deviate from the established baseline of normal application behavior.

Compensating Controls:

• Egress Filtering: If immediate patching is not feasible, implement strict outbound firewall rules (egress filtering) on the affected server to block all network connections except those explicitly required for business operations.
• Web Application Firewall (WAF): Deploy a WAF with rules designed to detect and block common SSRF attack patterns in HTTP requests.
• Network Segmentation: Isolate the server hosting the NeMo Agent Toolkit in a separate network segment with restricted access to critical internal resources.

Exploitation Status

Public Exploit Available: false

Analyst Notes: As of November 25, 2025, there are no known public exploits or active exploitation campaigns targeting this vulnerability. However, SSRF is a well-understood vulnerability class, and threat actors frequently develop exploits for such flaws to gain initial access and perform internal reconnaissance. It is highly probable that proof-of-concept code will become available in the near future.

Analyst Recommendation

Given the High severity rating (CVSS 7.6) of this vulnerability and the significant risk of internal network compromise and data exfiltration, it is strongly recommended that organizations apply the security updates provided by NVIDIA to all affected systems immediately. This vulnerability should be treated as a high-priority patching target. Although this CVE is not currently listed on the CISA KEV catalog, its potential for abuse makes it a prime candidate for future exploitation. Immediate remediation and proactive monitoring are critical to mitigating the risk to the organization.

Executive Summary:
A critical vulnerability has been identified in multiple NVIDIA DGX Spark products. This flaw allows an attacker who already has privileged access to the system to bypass security controls and gain complete control over the hardware, potentially leading to code execution, data theft, or a total system shutdown.

Vulnerability Details

CVE-ID: CVE-2025-33187

Affected Software: NVIDIA DGX Spark Multiple Products

Affected Versions: See vendor advisory for specific affected versions

Vulnerability: The vulnerability exists within the SROOT component of the NVIDIA DGX Spark GB10 platform. An attacker with pre-existing privileged credentials on the system can exploit this weakness to bypass security mechanisms and gain unauthorized access to protected System on a Chip (SoC) memory areas. This level of access allows the attacker to execute arbitrary code, escalate their privileges to the highest level, read or modify sensitive data, and cause a denial of service, effectively leading to a full system compromise.

Business Impact

This vulnerability is rated as critical severity with a CVSS score of 9.3. Successful exploitation could have a severe impact on the business, as DGX systems are typically used for mission-critical AI/ML and data processing workloads. Potential consequences include the theft of proprietary data and intellectual property (e.g., AI models), disruption of core business operations, significant financial loss due to system downtime, and reputational damage. A compromised system could also be used as a pivot point to launch further attacks against the internal network.

Remediation Plan

Immediate Action: Apply the security updates provided by NVIDIA to all affected DGX Spark products immediately. After patching, security teams should actively monitor for any indicators of compromise and review system and access logs for unusual activity originating from privileged accounts that may indicate a past or ongoing exploitation attempt.

Proactive Monitoring: Implement enhanced monitoring on affected systems. Security teams should look for unauthorized privilege escalation events in system logs (e.g., auditd), unexpected processes spawned by system-level accounts, and any unusual access patterns to hardware or memory resources. Monitor network traffic for anomalous outbound connections that could indicate command and control (C2) activity.

Compensating Controls: If patching cannot be immediately deployed, implement strict access controls based on the principle of least privilege to limit the number of accounts with privileged access. Enforce multi-factor authentication (MFA) for all administrative access to the DGX systems. Ensure that Endpoint Detection and Response (EDR) solutions are deployed and properly configured to detect post-exploitation behavior.

Exploitation Status

Public Exploit Available: false

Analyst Notes: As of the publication date of November 25, 2025, there are no known public exploits or reports of this vulnerability being actively exploited in the wild. However, the high CVSS score and the nature of the vulnerability make it an attractive target for threat actors who have already established an initial foothold in a network.

Analyst Recommendation

Given the critical severity (CVSS 9.3) and the potential for complete system compromise, it is strongly recommended that organizations prioritize the deployment of the vendor-supplied patches for this vulnerability across all affected systems. Although the vulnerability is not currently listed in the CISA KEV catalog and requires prior access, the high value of DGX systems makes them a prime target. Organizations should treat this as an urgent priority to prevent the potential compromise of critical data and infrastructure.

Executive Summary:
A critical vulnerability has been discovered in the NVIDIA Triton Inference Server, identified as CVE-2025-23317 with a CVSS score of 9.1. An unauthenticated attacker can send a specially crafted web request to a vulnerable server to gain full control via a reverse shell. A successful exploit could lead to complete system compromise, allowing for data theft, service disruption, and further attacks on the internal network.

Vulnerability Details

CVE-ID: CVE-2025-23317

Affected Software: NVIDIA Triton Inference Server

Affected Versions: See vendor advisory for specific affected versions

Vulnerability: The vulnerability exists within the HTTP server component of the NVIDIA Triton Inference Server. An attacker can exploit this flaw by sending a specially crafted HTTP request to the server's listening port. This request triggers a condition that allows for remote code execution (RCE), enabling the attacker to force the compromised server to initiate an outbound connection (a "reverse shell") back to an attacker-controlled machine, effectively bypassing perimeter firewalls.

Business Impact

This vulnerability is rated as critical severity with a CVSS score of 9.1. Successful exploitation grants an attacker remote control over the Triton Inference Server, leading to severe business consequences. These risks include the theft of proprietary machine learning models and sensitive data being processed, manipulation of AI model outputs to cause incorrect results, and complete denial of service. Furthermore, a compromised server can be used as a pivot point to launch further attacks against other critical systems within the organization's network, escalating the incident's impact.

Remediation Plan

Immediate Action: The primary remediation is to update the NVIDIA Triton Inference Server to the latest patched version as recommended by the vendor. After patching, administrators should closely monitor for any signs of exploitation attempts by reviewing server and network access logs for suspicious activity.

Proactive Monitoring: Organizations should monitor for unusual outbound network connections from Triton servers, especially to unknown IP addresses or ports, which could indicate a reverse shell. Review HTTP access logs for malformed or anomalous requests that do not align with standard API traffic. Monitor system processes for unexpected child processes spawned by the Triton server process.

Compensating Controls: If immediate patching is not feasible, implement the following controls to reduce risk:

• Restrict network access to the Triton server's HTTP port using a firewall or network access control lists (ACLs), allowing connections only from trusted IP ranges.
• Deploy a Web Application Firewall (WAF) in front of the server to inspect and block malicious HTTP requests.
• Run the Triton Inference Server process with the lowest possible user privileges to limit an attacker's capabilities if the system is compromised.

Exploitation Status

Public Exploit Available: false

Analyst Notes: As of the publication date, August 6, 2025, there are no known public proof-of-concept exploits or reports of this vulnerability being actively exploited in the wild. The vulnerability is not currently listed on the CISA Known Exploited Vulnerabilities (KEV) catalog. However, due to the critical severity and potential for remote code execution, it is highly likely that threat actors will develop exploits.

Analyst Recommendation

Given the critical severity (CVSS 9.1) and the risk of complete system compromise, it is imperative that organizations identify all vulnerable instances of NVIDIA Triton Inference Server and apply the vendor-supplied patches immediately. This vulnerability represents a significant threat to confidentiality, integrity, and availability. While it is not yet on the CISA KEV list, its high impact makes it a prime target for future exploitation. If patching cannot be performed immediately, the compensating controls listed above must be implemented as a matter of urgency.

Executive Summary:
A critical vulnerability has been identified in the NVIDIA Triton Inference Server, a platform used for deploying artificial intelligence models. An unauthenticated attacker can send a specially crafted network request to cause a stack overflow, which could allow them to execute arbitrary code and take full control of the affected server. This vulnerability poses a severe risk of data breach, system compromise, and disruption of critical AI-powered services.

Vulnerability Details

CVE-ID: CVE-2025-23311

Affected Software: NVIDIA Triton Inference Server (Note: This component may be bundled within other NVIDIA software suites and products).

Affected Versions: See vendor advisory for specific affected versions.

Vulnerability: The vulnerability is a stack-based buffer overflow within the HTTP request handling component of the NVIDIA Triton Inference Server. An unauthenticated remote attacker can exploit this by sending a crafted HTTP request containing an overly long value in a specific field (e.g., a header or parameter). This action overwrites the program's call stack, potentially allowing the attacker to hijack the execution flow and run arbitrary code with the permissions of the Triton server process, or at minimum, crash the server causing a denial of service.

Business Impact

This vulnerability is rated as critical severity with a CVSS score of 9.8. A successful exploit could lead to complete system compromise, allowing an attacker to execute remote code on the server hosting the Triton Inference Server. This poses a significant business risk, including the theft of proprietary AI/ML models and sensitive training data, unauthorized access to internal networks, and the potential for deploying ransomware. A denial-of-service attack would disrupt critical AI-driven applications, leading to operational downtime, reputational damage, and financial loss.

Remediation Plan

Immediate Action: Organizations must immediately apply the security updates provided by NVIDIA. Prioritize patching internet-facing Triton Inference Servers and then internal instances to mitigate the risk of exploitation.

Proactive Monitoring: Security teams should actively monitor for signs of exploitation. Review web server and application logs for unusually long or malformed HTTP requests directed at the Triton server. Monitor system behavior for unexpected crashes or restarts of the Triton server process and look for anomalous outbound network connections from the server, which could indicate a successful compromise.

Compensating Controls: If immediate patching is not feasible, implement a Web Application Firewall (WAF) with rules to inspect and block malformed HTTP requests or those with excessively long headers/parameters. Additionally, restrict network access to the Triton Inference Server's HTTP port, allowing connections only from trusted, authorized IP addresses to reduce the attack surface.

Exploitation Status

Public Exploit Available: False

Analyst Notes: As of August 6, 2025, there are no known public proof-of-concept exploits or observed in-the-wild attacks leveraging this vulnerability. The vulnerability is not currently listed on the CISA Known Exploited Vulnerabilities (KEV) catalog. However, due to the critical CVSS score and the relative simplicity of stack overflow attacks, it is highly probable that threat actors will develop an exploit in the near future.

Analyst Recommendation

Given the critical severity (CVSS 9.8) and the high potential for remote code execution, this vulnerability requires immediate attention. We strongly recommend that all organizations using the NVIDIA Triton Inference Server apply the vendor-supplied patches without delay, prioritizing internet-exposed systems. Although not yet listed in the CISA KEV, its severity makes it a prime target for exploitation. If patching is delayed, the compensating controls outlined above should be implemented as an urgent temporary measure.

Executive Summary:
A high-severity vulnerability exists in NVIDIA's vGPU software that could allow a malicious user in a guest virtual machine to crash or potentially execute code on the underlying host system. Successful exploitation could lead to a widespread denial of service affecting all virtual machines on a host or a complete system compromise, posing a significant risk to virtualized infrastructure.

Vulnerability Details

CVE-ID: CVE-2025-23284

Affected Software: NVIDIA Multiple Products

Affected Versions: See vendor advisory for specific affected versions

Vulnerability: The vulnerability is a stack-based buffer overflow within the Virtual GPU Manager (vGPU Manager) component, which runs on the host hypervisor. An attacker with sufficient privileges within a guest operating system can send specially crafted, malicious data to the vGPU Manager. This input is not properly validated, leading to a buffer overflow on the stack, which can corrupt adjacent memory, overwrite the function's return address, and ultimately lead to a crash (Denial of Service) or arbitrary code execution on the host system with the privileges of the vGPU Manager process.

Business Impact

This vulnerability is rated as High severity with a CVSS score of 7.8. Exploitation presents a critical risk to business operations that rely on virtualized environments. A successful denial-of-service attack would crash the vGPU Manager, disrupting GPU-accelerated workloads for all virtual machines on the physical host, leading to significant service outages. More critically, a successful code execution exploit constitutes a "guest-to-host" or "VM escape" scenario, allowing an attacker to break out of the isolated guest environment and gain control of the underlying host, potentially accessing data from all other VMs, moving laterally across the network, and causing a complete compromise of the infrastructure.

Remediation Plan

Immediate Action: The primary remediation is to apply the security updates released by NVIDIA to all affected systems immediately. Prioritize patching of internet-facing or multi-tenant systems to prevent exploitation. Concurrently, security teams should begin monitoring for signs of exploitation attempts and closely review access and system logs for any anomalous behavior related to the vGPU Manager.

Proactive Monitoring: Monitor host system logs for any unexpected crashes or restarts of the vGPU Manager process. Implement enhanced logging on hypervisors to capture inter-VM and guest-to-host communication. Utilize Endpoint Detection and Response (EDR) tools on host systems to detect memory corruption attacks and unauthorized process execution originating from the vGPU service.

Compensating Controls: If patching cannot be performed immediately, consider isolating untrusted guest VMs to dedicated physical hosts that are either patched or do not utilize the vGPU feature. Strengthen network segmentation to limit communication from guest VMs to the host management interface and prevent lateral movement in the event of a compromise. Restrict administrative or root-level access within guest VMs to trusted users only.

Exploitation Status

Public Exploit Available: False

Analyst Notes: As of August 3, 2025, there are no known public proof-of-concept exploits or active attacks targeting this vulnerability. However, stack buffer overflows are a well-understood vulnerability class, and the technical details provided in advisories may be sufficient for skilled threat actors to develop an exploit. The vulnerability is not currently listed in the CISA Known Exploited Vulnerabilities (KEV) catalog.

Analyst Recommendation

Given the High severity rating (CVSS 7.8) and the potential for a full hypervisor escape, this vulnerability represents a critical risk to the security and stability of the virtualization environment. Although there is no evidence of active exploitation, the impact of a successful attack is severe. We strongly recommend that organizations using NVIDIA vGPU software treat this as a high-priority issue and deploy the vendor-provided security patches on an emergency basis to mitigate the risk of service disruption and host system compromise.

Executive Summary:
A high-severity vulnerability has been discovered in NVIDIA's virtual GPU (vGPU) software for Linux-based systems. An attacker with control over a guest virtual machine could exploit this flaw to crash the underlying host system, leading to a denial-of-service condition for all other virtual machines running on that host and disrupting critical services.

Vulnerability Details

CVE-ID: CVE-2025-23283

Affected Software: NVIDIA Multiple Products

Affected Versions: See vendor advisory for specific affected versions

Vulnerability: The vulnerability exists within the Virtual GPU Manager (vGPU Manager) component, which runs on the host hypervisor. An attacker with low-level privileges within a guest virtual machine can send specially crafted data to the vGPU Manager, triggering a stack-based buffer overflow. Successful exploitation could lead to the termination of the vGPU Manager process, causing a denial-of-service (DoS) that crashes the host hypervisor and impacts all guest virtual machines running on it. Depending on the memory layout, this flaw could potentially be leveraged for arbitrary code execution on the host system, allowing an attacker to escape the guest VM environment.

Business Impact

This vulnerability is rated as High severity with a CVSS score of 7.8. Exploitation poses a significant risk to business operations, particularly in environments relying on virtualization for critical services like Virtual Desktop Infrastructure (VDI) or high-performance computing. A successful attack would result in a denial-of-service condition, crashing the host server and causing an outage for all virtual machines it supports. This could lead to significant downtime, loss of productivity, and potential data loss. If an attacker achieves code execution on the hypervisor, they could gain complete control of the host, compromising the confidentiality and integrity of all guest data and using the compromised host as a pivot point for further attacks within the network.

Remediation Plan

Immediate Action: Organizations must prioritize the deployment of security patches provided by NVIDIA across all affected systems. Due to the high severity and potential for a host-level denial-of-service, these updates should be applied immediately in accordance with established patch management policies, starting with the most critical systems.

Proactive Monitoring: Security teams should actively monitor for signs of exploitation. This includes monitoring hypervisor logs for any crashes or unexpected restarts of the vGPU Manager service. System performance monitoring should be configured to alert on abnormal CPU or memory usage on the host that could indicate an attempted overflow attack. Review guest VM logs for any anomalous behavior or processes attempting to interact directly with the vGPU in an unusual manner.

Compensating Controls: If immediate patching is not feasible, implement compensating controls to reduce the attack surface. Restrict the creation and control of guest virtual machines to only trusted administrators. Isolate virtual machines that require vGPU functionality onto dedicated, segmented host clusters to limit the blast radius of a successful exploit. Consider temporarily disabling vGPU profiles on non-essential guest VMs until patches can be applied.

Exploitation Status

Public Exploit Available: false

Analyst Notes: As of the publication date, August 3, 2025, there are no known public exploits for CVE-2025-23283. The vulnerability is not currently listed on the CISA Known Exploited Vulnerabilities (KEV) catalog. However, given the nature of the vulnerability (guest-to-host DoS/escape), it is highly likely that security researchers and threat actors will begin developing exploit code. Organizations should operate under the assumption that an exploit will become available.

Analyst Recommendation

Given the High severity (CVSS 7.8) of this vulnerability and its potential to cause a complete host system failure or facilitate a virtual machine escape, we strongly recommend immediate action. The primary risk is a denial-of-service that could disrupt critical business functions. Organizations must prioritize applying the NVIDIA security updates to all affected hypervisors. While there is no evidence of active exploitation at this time, the severity of the flaw makes it an attractive target for attackers. Treat this vulnerability with high urgency and expedite patching and monitoring efforts.

Executive Summary:
A high-severity incorrect authorization vulnerability in the NVIDIA BlueField management interface allows a local attacker to illegitimately modify system configurations.

Vulnerability Details

CVE-ID: CVE-2025-23256

Affected Software: NVIDIA Multiple Products

Affected Versions: See vendor advisory for specific affected versions

Vulnerability: The vulnerability exists in the management interface of NVIDIA BlueField DPUs. An authenticated attacker with local access can exploit this flaw to bypass authorization checks and make unauthorized modifications to the system's configuration.

Business Impact

Successful exploitation allows an attacker to alter critical system settings, potentially leading to privilege escalation, system instability, or a persistent denial-of-service condition. The CVSS score of 8.7 (High) reflects the severity of allowing a lower-privileged local user to gain administrative control over the configuration, which could compromise the entire host system.

Remediation Plan

Immediate Action: Apply the security updates released by NVIDIA to all affected BlueField products as soon as possible.

Proactive Monitoring: Monitor system audit logs for unauthorized or suspicious configuration changes. Implement file integrity monitoring on critical configuration files to detect unauthorized modifications.

Compensating Controls: Enforce the principle of least privilege for all user accounts with local access to the system. Restrict local login access to only authorized administrative personnel.

Exploitation Status

Public Exploit Available: false

Analyst Notes: As of September 4, 2025, there is no public information indicating active exploitation of this vulnerability. However, local privilege escalation vulnerabilities are often used as part of a larger attack chain after initial access has been gained.

Analyst Recommendation

This vulnerability presents a serious risk of privilege escalation for systems utilizing NVIDIA BlueField DPUs. It is critical to apply the vendor's patch immediately to prevent attackers who have gained initial local access from elevating their privileges and taking full control of the affected systems.