---METADATA---
VENDOR: NVIDIA
PRODUCT: LXD
AFFECTED_VERSIONS: 4.0.0 up to (excluding) 4.0.12, 5.0.0 up to (excluding) 5.0.8, 5.21.0 up to (excluding) 5.21.6
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
An OS command injection vulnerability in NVIDIA LXD instance configuration handling allows an authenticated attacker to inject arbitrary configuration directives.

Executive Summary:
An authenticated command injection vulnerability in NVIDIA LXD allows attackers to execute arbitrary configuration directives, posing a high risk of system compromise.

Vulnerability Details

CVE-ID: CVE-2026-63298

Affected Software: NVIDIA LXD

Affected Versions: 4.0.0 up to (excluding) 4.0.12, 5.0.0 up to (excluding) 5.0.8, 5.21.0 up to (excluding) 5.21.6

Vulnerability: The software suffers from an OS command injection flaw (CWE-78) where special elements in NVIDIA instance configuration are not properly neutralized, allowing an authenticated attacker to execute arbitrary commands.

Business Impact

This vulnerability carries a CVSS score of 8.7, indicating high severity. Successful exploitation permits an attacker to escape container boundaries or gain elevated control over the host system, potentially leading to total system compromise, data theft, and unauthorized access to sensitive infrastructure.

Remediation Plan

Immediate Action: Upgrade to LXD version 4.0.12, 5.0.8, 5.21.6, or later, as provided by the vendor.

Proactive Monitoring: Inspect system logs for unusual configuration changes and monitor for unexpected process execution originating from the LXD service.

Compensating Controls: Implement strict role-based access control (RBAC) to limit the number of users capable of modifying instance configurations.

Exploitation Status

Public Exploit Available: Unknown

Analyst Notes: As of August 14, 2026, there is no confirmed active exploitation in the wild; however, per CISA's SSVC assessment a proof-of-concept exists, so exploitation risk should be treated as credible. The flaw is inherently dangerous due to the potential for container escape.

Analyst Recommendation

Given the high CVSS score and the presence of a proof-of-concept, organizations should prioritize patching LXD instances immediately. Applying the vendor-provided updates is the only definitive way to neutralize the command injection vector.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Dynamo
AFFECTED_VERSIONS: NVIDIA Dynamo: 0 to v1.1.0
CONFIDENCE: high
MISSING: patch
---END_METADATA---

Description Summary:
NVIDIA Dynamo for Linux is susceptible to a deserialization vulnerability that allows an attacker to process untrusted data, potentially leading to service disruption.

Executive Summary:
NVIDIA Dynamo for Linux contains a deserialization flaw that may allow unauthenticated attackers to cause service instability or denial of service.

Vulnerability Details

CVE-ID: CVE-2026-47623

Affected Software: NVIDIA Dynamo

Affected Versions: NVIDIA Dynamo: 0 to v1.1.0

Vulnerability: The software fails to properly validate untrusted data during deserialization (CWE-502). An unauthenticated attacker can leverage this to trigger a denial of service or potentially impact system integrity.

Business Impact

The ability for an unauthenticated attacker to remotely trigger service-impacting events presents a significant risk to availability. With a CVSS score of 8.2, this vulnerability could be used to disrupt critical processes relying on the Dynamo service, leading to system downtime and operational interference.

Remediation Plan

Immediate Action: Monitor official NVIDIA security bulletins for the release of a patched version of Dynamo for Linux.

Proactive Monitoring: Review system logs for unexpected crashes or error messages related to the Dynamo service that might indicate exploitation attempts.

Compensating Controls: Utilize host-based intrusion detection systems to monitor for unusual input patterns or malformed data being sent to the Dynamo service.

Exploitation Status

Public Exploit Available: Unknown

Analyst Notes: As of August 5, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. The vulnerability is inherently exploitable by any network participant, making it a concern for exposed services.

Analyst Recommendation

Given the high CVSS score, organizations should prioritize monitoring for vendor updates. Once a patch is released, it should be deployed to all affected production environments to prevent potential service disruption.

---METADATA---
VENDOR: NVIDIA
PRODUCT: DCGM Exporter
AFFECTED_VERSIONS: NVIDIA DCGM 0.0 to 4.5.2, NVIDIA DCGM Exporter 0.0 to 4.8.2
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
NVIDIA DCGM Exporter is vulnerable to uncontrolled resource consumption via unauthenticated profiling requests sent to the debug endpoints.

Executive Summary:
The NVIDIA DCGM Exporter contains an unauthenticated resource exhaustion vulnerability that can lead to significant service degradation or denial of service.

Vulnerability Details

CVE-ID: CVE-2026-47483

Affected Software: NVIDIA DCGM Exporter

Affected Versions: NVIDIA DCGM 0.0 to 4.5.2, NVIDIA DCGM Exporter 0.0 to 4.8.2

Vulnerability: This vulnerability, categorized as CWE-770 (Allocation of Resources Without Limits or Throttling), allows an unauthenticated remote attacker to submit concurrent requests to the debug endpoints, exhausting system resources.

Business Impact

The ability for unauthenticated actors to trigger resource exhaustion poses a high risk to availability, which is reflected in the CVSS score of 8.2. Successful exploitation can result in the disruption of critical monitoring services, potentially masking other malicious activities or causing operational downtime for systems relying on DCGM for performance metrics.

Remediation Plan

Immediate Action: Update NVIDIA DCGM and DCGM Exporter to the latest versions provided by the vendor, which include the necessary resource limits.

Proactive Monitoring: Monitor system resource usage and network traffic logs for spikes in concurrent requests targeting the debug endpoints.

Compensating Controls: Implement network-level access controls or a Web Application Firewall to restrict access to the /debug/pprof endpoints to authorized IP addresses only.

Exploitation Status

Public Exploit Available: Unknown.

Analyst Notes: As of July 29, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. The flaw is inherently dangerous due to its automatable nature and lack of authentication requirements.

Analyst Recommendation

Given the high severity and the ease of exploitation, administrators should prioritize updating these components immediately. Failure to patch allows unauthenticated attackers to potentially crash monitoring services, creating an unnecessary risk to system observability and stability.

---METADATA---
VENDOR: NVIDIA
PRODUCT: garak
AFFECTED_VERSIONS: 1.0.0 to 1.4.0
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
A remote code execution vulnerability exists in the NVIDIA garak AI scanner via JavaScript injection within the BrowserAutomation::PlaywrightService component.

Executive Summary:
A critical remote code execution vulnerability in NVIDIA garak allows unauthenticated attackers to execute arbitrary code via JavaScript injection.

Vulnerability Details

CVE-ID: CVE-2026-41512

Affected Software: NVIDIA garak

Affected Versions: 1.0.0 through 1.4.0

Vulnerability: The vulnerability exists in the BrowserAutomation::PlaywrightService component, which improperly handles input, allowing for JavaScript injection. This flaw can be triggered remotely without authentication, leading to full system compromise.

Business Impact

With a CVSS score of 9.9, this vulnerability represents an extreme risk to any environment deploying the garak AI scanner. Successful exploitation grants an attacker the ability to execute arbitrary code with the privileges of the garak service, leading to full system compromise, exfiltration of sensitive AI model data, or lateral movement within the network.

Remediation Plan

Immediate Action: Update the NVIDIA garak installation to version 1.4.1 or later immediately.

Proactive Monitoring: Monitor system logs for unusual process execution, unauthorized network connections originating from the scanner, or unexpected JavaScript execution errors in the Playwright service.

Compensating Controls: Deploy a Web Application Firewall (WAF) or equivalent inspection tool to filter malicious payloads targeting browser automation services. Restrict network access to the scanner to authorized internal subnets only.

Exploitation Status

Public Exploit Available: Not specified

Analyst Notes: As of May 8, 2026, there is no public information indicating active exploitation of this vulnerability. However, due to the nature of the flaw, the potential for exploitation is high.

Analyst Recommendation

Due to the remote code execution nature of this vulnerability and its near-maximum CVSS score, immediate patching is mandatory. Organizations must ensure that any instance of garak is updated to version 1.4.1 to eliminate the injection vector.

---METADATA---
VENDOR: NVIDIA
PRODUCT: AIStore framework
AFFECTED_VERSIONS: See vendor advisory
---END_METADATA---

Description Summary:
The NVIDIA AIStore framework contains an authentication bypass vulnerability that could lead to unauthorized access, privilege escalation, and data tampering.

Executive Summary:
An authentication bypass vulnerability in the NVIDIA AIStore framework poses a critical risk to system integrity and data confidentiality.

Vulnerability Details

CVE-ID: CVE-2026-24270

Affected Software: NVIDIA AIStore framework

Affected Versions: See vendor advisory for specific affected versions

Vulnerability: This is an authentication bypass vulnerability that allows unauthorized entities to circumvent security controls. By bypassing authentication, attackers may gain elevated privileges and perform unauthorized operations within the AIStore environment.

Business Impact

The ability to bypass authentication allows an attacker to interact with the AIStore framework as an authorized user, leading to potential information disclosure, data tampering, or denial of service. With a CVSS score of 9.8, this flaw represents a significant risk to the integrity and availability of AI infrastructure and stored data.

Remediation Plan

Immediate Action: Apply the latest security updates provided by NVIDIA for the AIStore framework as specified in the official vendor advisory.

Proactive Monitoring: Review audit logs for unauthorized access attempts or suspicious activity originating from unexpected user accounts.

Compensating Controls: Implement network-level access controls to restrict exposure of the AIStore framework to trusted internal segments only.

Exploitation Status

Public Exploit Available: No

Analyst Notes: As of Jul 1, 2026, there is no public information indicating active exploitation of this vulnerability. However, due to the nature of the flaw, the potential for exploitation is high.

Analyst Recommendation

Authentication bypass vulnerabilities are high-priority targets for attackers. Organizations utilizing the NVIDIA AIStore framework must urgently verify their current version against the vendor advisory and apply the necessary patches to maintain a secure posture and prevent unauthorized system access.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Container Toolkit
AFFECTED_VERSIONS: See vendor advisory for specific affected versions
---END_METADATA---

Description Summary:
The NVIDIA Container Toolkit for Linux is susceptible to a time-of-check time-of-use (TOCTOU) race condition that could be exploited by an attacker.

Executive Summary:
A high-severity race condition vulnerability in the NVIDIA Container Toolkit for Linux poses a significant risk of unauthorized resource manipulation or escalation.

Vulnerability Details

CVE-ID: CVE-2026-24260

Affected Software: NVIDIA Container Toolkit

Affected Versions: See vendor advisory for specific affected versions

Vulnerability: This vulnerability is a time-of-check time-of-use (TOCTOU) race condition within the NVIDIA Container Toolkit. Such flaws typically allow an attacker to manipulate file paths or resource states between the initial security check and the subsequent execution.

Business Impact

Successful exploitation allows an attacker to bypass security boundaries, potentially leading to unauthorized container access or privilege escalation on the host system. The CVSS score of 8.5 necessitates prompt remediation to prevent the compromise of containerized infrastructure and underlying host integrity.

Remediation Plan

Immediate Action: Apply vendor-supplied security patches to the Container Toolkit immediately to resolve the race condition.

Proactive Monitoring: Monitor system logs for unusual container startup errors or unexpected file access patterns that may indicate an attempt to trigger the race condition.

Compensating Controls: Utilize strict kernel-level security policies (e.g., AppArmor or SELinux) to restrict container capabilities and limit the impact of potential escapes.

Exploitation Status

Public Exploit Available: false

Analyst Notes: As of July 2, 2026, there is no public information indicating active exploitation of this vulnerability. However, due to the nature of the flaw, the potential for exploitation is high.

Analyst Recommendation

The complexity of TOCTOU vulnerabilities requires immediate patching to ensure the security of the container runtime environment. Administrators should verify their current versions against the vendor advisory and deploy updates as a matter of urgency.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Dynamo
AFFECTED_VERSIONS: NVIDIA Dynamo: 0 to v1.1.0
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
NVIDIA Dynamo for Linux is vulnerable to an out-of-bounds write in the multimodal serving topology, potentially leading to remote code execution or system compromise.

Executive Summary:
A critical out-of-bounds write vulnerability in NVIDIA Dynamo allows unauthenticated remote attackers to execute arbitrary code and compromise system integrity.

Vulnerability Details

CVE-ID: CVE-2026-24254

Affected Software: NVIDIA Dynamo

Affected Versions: NVIDIA Dynamo: 0 to v1.1.0

Vulnerability: The flaw exists within the multimodal serving topology, where improper input handling enables an out-of-bounds write. This vulnerability is remotely exploitable without authentication, as indicated by the CVSS attack vector (AV:N/PR:N).

Business Impact

The potential for remote code execution poses a severe threat to business operations, as it allows attackers to gain unauthorized control over affected systems. With a CVSS score of 9.8, this vulnerability carries a high risk of data exfiltration, service disruption, and complete system compromise, necessitating immediate attention.

Remediation Plan

Immediate Action: Update NVIDIA Dynamo to version 1.1.1 or later as specified in the vendor security advisory.

Proactive Monitoring: Inspect network and application logs for unusual traffic patterns or unexpected process execution originating from the Dynamo service.

Compensating Controls: Deploy Web Application Firewall (WAF) rules to filter and block malicious payloads targeting the multimodal serving interface until patching is complete.

Exploitation Status

Public Exploit Available: No

Analyst Notes: As of August 4, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. The flaw is inherently dangerous due to its potential for unauthenticated remote code execution.

Analyst Recommendation

Given the critical severity score and the potential for total system compromise, organizations should prioritize patching NVIDIA Dynamo immediately. Ensure that the update is applied across all instances to eliminate the risk of remote exploitation.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Dynamo
AFFECTED_VERSIONS: 0 to v1.1.0
CONFIDENCE: high
MISSING: patch
---END_METADATA---

Description Summary:
NVIDIA Dynamo for Linux is vulnerable to an out-of-bounds write, which could allow a remote, unauthenticated attacker to cause a denial of service or potentially impact system integrity.

Executive Summary:
An out-of-bounds write vulnerability in NVIDIA Dynamo for Linux allows unauthenticated remote attackers to compromise system availability and potentially system state.

Vulnerability Details

CVE-ID: CVE-2026-24253

Affected Software: NVIDIA Dynamo

Affected Versions: 0 to v1.1.0

Vulnerability: The vulnerability is an out-of-bounds write (CWE-787) that occurs due to insufficient boundary checking. The CVSS vector indicates that the attacker does not require authentication (PR:N) and can exploit this remotely (AV:N).

Business Impact

The ability for an unauthenticated attacker to trigger an out-of-bounds write poses a severe risk to system stability, likely resulting in a crash or service disruption. With a CVSS score of 8.2, this vulnerability is highly concerning as it is automatable, meaning attackers can easily scan for and exploit vulnerable instances without human intervention.

Remediation Plan

Immediate Action: Consult the NVIDIA security advisory for the latest available patches or configuration changes to mitigate the out-of-bounds write vulnerability.

Proactive Monitoring: Monitor system resource usage and logs for signs of service instability or unexpected memory access errors that may indicate an exploit attempt.

Compensating Controls: Utilize network segmentation to restrict access to the Dynamo service to only trusted IP ranges, reducing the exposure to external attackers.

Exploitation Status

Public Exploit Available: No

Analyst Notes: As of August 5, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. While CISA's assessment indicates the vulnerability is automatable, there is no evidence of widespread exploitation in the wild.

Analyst Recommendation

Given the potential for remote, unauthenticated exploitation and the automatable nature of this flaw, this issue should be treated with high urgency. Administrators must verify their version and monitor official NVIDIA security channels for the release of a definitive patch.

---METADATA---
VENDOR: NVIDIA
PRODUCT: NeMo Framework
AFFECTED_VERSIONS: Versions 0.0 to 2.7.2
CONFIDENCE: high
MISSING: patch
---END_METADATA---

Description Summary:
NVIDIA NeMo Framework for Linux contains an OS command injection vulnerability allowing local authenticated attackers to execute arbitrary commands.

Executive Summary:
A high-severity OS command injection vulnerability in the NVIDIA NeMo Framework could allow a local attacker to execute arbitrary commands with elevated privileges.

Vulnerability Details

CVE-ID: CVE-2026-24252

Affected Software: NVIDIA NeMo Framework

Affected Versions: Versions 0.0 to 2.7.2

Vulnerability: This vulnerability (CWE-78) involves improper neutralization of special elements used in an OS command. The CVSS vector indicates that a local attacker with low privileges can successfully inject and execute commands on the host system.

Business Impact

Successful exploitation of this flaw allows an attacker to gain unauthorized control over the underlying host operating system. Given the CVSS score of 7.8, this vulnerability poses a significant risk to data confidentiality, integrity, and system availability, potentially leading to a full system compromise.

Remediation Plan

Immediate Action: Review the official NVIDIA security advisory and apply the latest available firmware or software security updates for the NeMo Framework.

Proactive Monitoring: Monitor system logs for unusual process execution patterns or unexpected command-line activity associated with the NeMo environment.

Compensating Controls: Restrict local system access to authorized personnel only and enforce the principle of least privilege to minimize the potential impact of a local exploit.

Exploitation Status

Public Exploit Available: No (exploit_available: false)

Analyst Notes: As of July 28, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. The flaw's requirement for local access and low-privileged user authentication limits its initial attack surface.

Analyst Recommendation

Organizations utilizing the NVIDIA NeMo Framework should prioritize checking for vendor-provided patches. Given the potential for total system compromise, ensuring that the software is updated to the latest version is critical to preventing unauthorized code execution.

---METADATA---
VENDOR: NVIDIA
PRODUCT: DGX OS
AFFECTED_VERSIONS: NVIDIA DGX Spark: 0 up to (excluding) OTA0
CONFIDENCE: high
MISSING: patch
---END_METADATA---

Description Summary:
NVIDIA DGX OS contains a vulnerability in the factory provisioning process where cloning a base image results in identical SSH host keys being deployed across multiple systems.

Executive Summary:
NVIDIA DGX OS is affected by a hard-coded cryptographic key vulnerability due to identical SSH host keys, creating a risk of man-in-the-middle attacks.

Vulnerability Details

CVE-ID: CVE-2026-24218

Affected Software: NVIDIA DGX OS (specifically DGX Spark)

Affected Versions: NVIDIA DGX Spark: 0 up to (excluding) OTA0

Vulnerability: This is a CWE-321 vulnerability involving the use of hard-coded cryptographic keys. Because identical SSH host keys are generated during the factory provisioning/cloning process, the security of SSH connections is undermined, allowing for potential impersonation.

Business Impact

The use of identical SSH host keys across multiple systems significantly weakens the security posture of the infrastructure. This allows for man-in-the-middle (MITM) attacks where an attacker could intercept or manipulate traffic intended for legitimate systems, potentially leading to total system compromise or unauthorized access to sensitive environments.

Remediation Plan

Immediate Action: Update affected NVIDIA DGX Spark systems to the version indicated in the vendor advisory (OTA0 or later) to resolve the provisioning flaw.

Proactive Monitoring: Review SSH logs and monitor for anomalous key fingerprint changes or unauthorized access attempts across the DGX cluster.

Compensating Controls: If immediate patching is not feasible, consider manually regenerating SSH host keys on all affected systems and implementing stricter network-level access controls to isolate affected hardware.

Exploitation Status

Public Exploit Available: Unknown

Analyst Notes: As of May 21, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. The vulnerability is inherent to the provisioning process, making affected systems susceptible until the key generation process is corrected.

Analyst Recommendation

This vulnerability is critical for environments relying on SSH for secure administrative access. Administrators must verify their current version and apply the vendor-provided update immediately to ensure unique cryptographic identities for each machine in the fleet.

---METADATA---
VENDOR: NVIDIA
PRODUCT: BioNeMo Framework
AFFECTED_VERSIONS: NVIDIA BioNeMo Framework: 0 up to (excluding) commit dfd83a7 on main
CONFIDENCE: high
MISSING: patch
---END_METADATA---

Description Summary:
NVIDIA BioNeMo Framework contains a path traversal vulnerability where a user could cause arbitrary file access or manipulation by loading a malicious file.

Executive Summary:
NVIDIA BioNeMo Framework is vulnerable to a path traversal attack that may allow unauthorized access to files outside of the intended directory.

Vulnerability Details

CVE-ID: CVE-2026-24217

Affected Software: NVIDIA BioNeMo Framework

Affected Versions: 0 up to (excluding) commit dfd83a7 on main

Vulnerability: This is a CWE-29 path traversal vulnerability. The application fails to properly sanitize user-supplied input when loading files, allowing an attacker to escape the intended directory and access sensitive files on the host system.

Business Impact

A path traversal vulnerability can lead to the exposure of sensitive configuration files, credentials, or system data, depending on the privileges of the application process. With a CVSS score of 8.8, this presents a severe risk of information disclosure and potential system compromise, which could have significant impacts on data confidentiality and integrity.

Remediation Plan

Immediate Action: Update the NVIDIA BioNeMo Framework to the latest version or apply the specific fix identified by commit dfd83a7.

Proactive Monitoring: Monitor file access logs and application logs for suspicious directory traversal strings (e.g., ../../) in file-loading operations.

Compensating Controls: Run the application in a restricted containerized environment with a read-only filesystem where possible, and ensure the process runs with the lowest necessary system privileges.

Exploitation Status

Public Exploit Available: Unknown

Analyst Notes: As of May 21, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. The vulnerability is highly exploitable if an attacker can provide input to the file-loading function.

Analyst Recommendation

This vulnerability represents a significant security risk due to the potential for unauthorized file access. Organizations using the BioNeMo Framework should audit their current implementation and apply the vendor-provided updates or code fixes as soon as possible to prevent potential exploitation.

---METADATA---
VENDOR: NVIDIA
PRODUCT: BioNeMo Framework
AFFECTED_VERSIONS: NVIDIA BioNeMo Framework: 0 up to (excluding) commit dfd83a7 in Main
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
NVIDIA BioNeMo Framework is vulnerable to deserialization of untrusted data, which may lead to code execution or system compromise.

Executive Summary:
A deserialization vulnerability in the NVIDIA BioNeMo Framework could allow an unauthenticated attacker to achieve arbitrary code execution.

Vulnerability Details

CVE-ID: CVE-2026-24216

Affected Software: NVIDIA BioNeMo Framework

Affected Versions: NVIDIA BioNeMo Framework: 0 up to (excluding) commit dfd83a7 in Main

Vulnerability: This vulnerability involves the insecure deserialization of untrusted data (CWE-502). The attack vector is local, requiring user interaction to trigger the flaw, though the impact is rated as high for confidentiality, integrity, and availability.

Business Impact

Successful exploitation of this deserialization vulnerability could allow an attacker to execute arbitrary code with the privileges of the application, potentially leading to a full system compromise. With a CVSS score of 7.8, this represents a high-severity risk that could result in significant data exfiltration or unauthorized system manipulation.

Remediation Plan

Immediate Action: Update the NVIDIA BioNeMo Framework to the latest version or apply the specific fix commit (dfd83a7) provided by the vendor.

Proactive Monitoring: Monitor system logs for unusual process execution or unexpected file modifications originating from the BioNeMo service.

Compensating Controls: Ensure that the application is running with the least privilege necessary and restrict access to the underlying host environment.

Exploitation Status

Public Exploit Available: No (exploit_available: false)

Analyst Notes: As of May 21, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. Deserialization vulnerabilities are inherently dangerous due to their ability to facilitate remote code execution if the input stream is manipulated by an attacker.

Analyst Recommendation

Given the potential for total impact on system integrity and the high CVSS score, organizations utilizing the NVIDIA BioNeMo Framework should prioritize applying the provided security fix. Immediate remediation is necessary to mitigate the risk of exploitation.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Triton Inference Server
AFFECTED_VERSIONS: 0 up to (excluding) r26.03
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
NVIDIA Triton Inference Server contains an integer overflow vulnerability in its DALI backend, which can be exploited by an authenticated user to cause a crash or potentially execute arbitrary code.

Executive Summary:
An integer overflow vulnerability in the NVIDIA Triton Inference Server DALI backend creates a high-risk scenario for system instability and potential arbitrary code execution.

Vulnerability Details

CVE-ID: CVE-2026-24214

Affected Software: NVIDIA Triton Inference Server

Affected Versions: 0 up to (excluding) r26.03

Vulnerability: This is an integer overflow vulnerability in the DALI backend that requires low-privileged authenticated access and user interaction to trigger, potentially leading to high impact on confidentiality, integrity, and availability (AV:N/AC:L/PR:L/UI:R).

Business Impact

An attacker successfully exploiting this integer overflow could compromise the integrity and availability of the AI inference pipeline, potentially leading to malicious data manipulation or a complete denial of service. With a CVSS score of 8.0, this issue presents a significant threat to environments relying on Triton for critical production inference tasks.

Remediation Plan

Immediate Action: Update NVIDIA Triton Inference Server to version r26.03 or later immediately to resolve the vulnerable DALI backend component.

Proactive Monitoring: Monitor inference server logs for abnormal input patterns or unexpected service restarts that may indicate attempted exploitation of the DALI backend.

Compensating Controls: Implement strict input validation for all requests sent to the Triton Inference Server and ensure that the service runs with the minimum necessary privileges to limit the impact of a potential compromise.

Exploitation Status

Public Exploit Available: Unknown

Analyst Notes: As of May 20, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. The vulnerability requires authenticated access, which provides a layer of defense-in-depth, but does not negate the high severity of the potential impact.

Analyst Recommendation

Given the high CVSS severity, administrators should prioritize updating to release r26.03. Testing should be performed in a staging environment to ensure compatibility before deploying the patch into production inference clusters.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Triton Inference Server
AFFECTED_VERSIONS: 0 up to (excluding) r26.03
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
NVIDIA Triton Inference Server is susceptible to an out-of-bounds read vulnerability in the DALI backend, which may allow an authenticated attacker to access sensitive memory or crash the service.

Executive Summary:
An out-of-bounds read vulnerability in the NVIDIA Triton Inference Server DALI backend poses a significant risk to data confidentiality and service stability.

Vulnerability Details

CVE-ID: CVE-2026-24213

Affected Software: NVIDIA Triton Inference Server

Affected Versions: 0 up to (excluding) r26.03

Vulnerability: This is an out-of-bounds read vulnerability in the DALI backend triggered during processing, requiring low-privileged authentication and user interaction to potentially expose sensitive memory contents (AV:N/AC:L/PR:L/UI:R).

Business Impact

Exploitation of this vulnerability could lead to the exposure of sensitive inference data or the complete crash of the inference server. Given the 8.0 CVSS score, this represents a critical risk to the reliability of AI services and the protection of proprietary data processed within the inference environment.

Remediation Plan

Immediate Action: Upgrade to NVIDIA Triton Inference Server version r26.03 or later to patch the vulnerable memory handling logic in the DALI backend.

Proactive Monitoring: Review access logs for unusual request patterns and monitor system health metrics for memory-related errors or unexpected service crashes.

Compensating Controls: Restrict access to the inference server to trusted users only and enforce the principle of least privilege to minimize the potential for an authenticated attacker to reach the vulnerable code path.

Exploitation Status

Public Exploit Available: Unknown

Analyst Notes: As of May 20, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. While the vulnerability requires authenticated access, the potential for memory leakage makes it a high-priority issue for secure AI deployments.

Analyst Recommendation

Administrators must schedule an update to version r26.03 as soon as possible. Following the update, verify the integrity of the inference models and confirm that the DALI backend is operating correctly within the updated environment.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Triton Inference Server
AFFECTED_VERSIONS: 0 up to (excluding) r26.03
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
NVIDIA Triton Inference Server is vulnerable to an integer overflow, which could allow an unauthenticated attacker to cause a denial-of-service condition.

Executive Summary:
An integer overflow vulnerability in NVIDIA Triton Inference Server allows unauthenticated remote attackers to trigger a denial-of-service, posing a significant risk to service availability.

Vulnerability Details

CVE-ID: CVE-2026-24210

Affected Software: NVIDIA Triton Inference Server

Affected Versions: 0 up to (excluding) r26.03

Vulnerability: This vulnerability involves an integer overflow (CWE-190) within the server, which can be triggered by an unauthenticated attacker via a network-based attack vector.

Business Impact

Successful exploitation results in a denial-of-service, rendering the inference server unresponsive. Given the CVSS score of 7.5 (High), this vulnerability poses a substantial risk to production environments relying on real-time model inference, potentially leading to critical operational downtime.

Remediation Plan

Immediate Action: Upgrade all instances of NVIDIA Triton Inference Server to version r26.03 or later.

Proactive Monitoring: Monitor server logs for unexpected crashes, restarts, or abnormal memory usage patterns indicative of overflow attempts.

Compensating Controls: Implement network-level rate limiting and ensure the server is isolated from public-facing networks to restrict unauthorized access to the inference endpoint.

Exploitation Status

Public Exploit Available: Unknown

Analyst Notes: As of May 20, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. The flaw is inherently dangerous due to its potential to disrupt high-availability machine learning pipelines.

Analyst Recommendation

The severity of this vulnerability, combined with its network-accessible nature, necessitates immediate action. Administrators should prioritize patching to version r26.03 across all affected infrastructure to eliminate the risk of service disruption.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Triton Inference Server
AFFECTED_VERSIONS: 0 up to (excluding) r26.03
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
A path traversal vulnerability exists in NVIDIA Triton Inference Server, enabling an unauthenticated attacker to potentially access sensitive files outside the intended directory.

Executive Summary:
NVIDIA Triton Inference Server is susceptible to a path traversal vulnerability that could allow unauthenticated remote attackers to access restricted files on the host system.

Vulnerability Details

CVE-ID: CVE-2026-24209

Affected Software: NVIDIA Triton Inference Server

Affected Versions: 0 up to (excluding) r26.03

Vulnerability: This is a path traversal flaw (CWE-22) that permits an unauthenticated attacker to manipulate file paths, potentially leading to unauthorized information disclosure.

Business Impact

The ability to perform path traversal poses a severe risk to data confidentiality and system integrity. With a CVSS score of 7.5 (High), this vulnerability could be leveraged to exfiltrate sensitive configuration files or model data, resulting in significant security and compliance exposure.

Remediation Plan

Immediate Action: Upgrade all instances of NVIDIA Triton Inference Server to version r26.03 or later.

Proactive Monitoring: Review web server and application logs for suspicious directory traversal patterns, such as sequences like "../" in URI requests.

Compensating Controls: Deploy a Web Application Firewall (WAF) with rules specifically configured to detect and block path traversal attempts.

Exploitation Status

Public Exploit Available: Unknown

Analyst Notes: As of May 20, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. Path traversal flaws are classic, highly exploitable vectors that require immediate remediation to prevent unauthorized data access.

Analyst Recommendation

Given the high CVSS score and the nature of path traversal attacks, organizations must treat this as a high-priority update. Ensure that all affected servers are patched to version r26.03 immediately to prevent potential data breaches.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Triton Inference Server
AFFECTED_VERSIONS: All versions prior to r26.03
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
An authentication bypass vulnerability in the NVIDIA Triton Inference Server allows remote, unauthenticated attackers to execute code or manipulate data.

Executive Summary:
A critical authentication bypass in the NVIDIA Triton Inference Server allows unauthenticated attackers to gain full control, leading to potential code execution and data tampering.

Vulnerability Details

CVE-ID: CVE-2026-24207

Affected Software: NVIDIA Triton Inference Server

Affected Versions: All versions prior to r26.03

Vulnerability: The vulnerability is an authentication bypass using an alternate path or channel (CWE-288). It allows an unauthenticated attacker to bypass security controls, potentially resulting in unauthorized code execution, privilege escalation, or full system disruption.

Business Impact

The ability to bypass authentication on an inference server poses a significant threat to AI/ML infrastructure. Exploitation could allow an attacker to exfiltrate proprietary models, corrupt training data, or utilize compute resources for unauthorized tasks. With a CVSS score of 9.8, this represents a critical threat to the integrity and availability of critical backend systems.

Remediation Plan

Immediate Action: Upgrade to NVIDIA Triton Inference Server version r26.03 or later.

Proactive Monitoring: Monitor server logs for unusual API traffic, unauthorized access attempts, or spikes in resource utilization that may indicate exploitation.

Compensating Controls: Implement strict network-level access controls, such as VPNs or mTLS, to ensure that the inference server is not exposed to untrusted networks.

Exploitation Status

Public Exploit Available: Yes — a public proof-of-concept repository exists on GitHub.

Analyst Notes: As of May 20, 2026, there is no confirmed active exploitation in the wild; however, a public proof-of-concept repository exists, so exploitation risk should be treated as credible. The lack of authentication requirements makes this vulnerability highly dangerous if the server is exposed to the internet.

Analyst Recommendation

Given the critical nature of this flaw and the presence of public exploit code, organizations running NVIDIA Triton Inference Server must prioritize patching. Failure to update to version r26.03 leaves the infrastructure exposed to full administrative takeover by remote attackers.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Triton Inference Server
AFFECTED_VERSIONS: 0 up to (excluding) r26.03
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
NVIDIA Triton Inference Server contains an authentication bypass vulnerability that allows unauthenticated attackers to potentially gain unauthorized access to the server.

Executive Summary:
An authentication bypass vulnerability in NVIDIA Triton Inference Server permits unauthenticated remote attackers to circumvent security controls, risking unauthorized system access.

Vulnerability Details

CVE-ID: CVE-2026-24206

Affected Software: NVIDIA Triton Inference Server

Affected Versions: 0 up to (excluding) r26.03

Vulnerability: This vulnerability (CWE-288) allows an unauthenticated attacker to bypass authentication mechanisms via an alternate path or channel, effectively granting unauthorized access.

Business Impact

Authentication bypass is a critical security failure that undermines the entire authorization model of the application. With a CVSS score of 7.3 (High), this vulnerability could allow attackers to interact with the inference server without valid credentials, leading to unauthorized model manipulation, data exfiltration, or system sabotage.

Remediation Plan

Immediate Action: Upgrade all instances of NVIDIA Triton Inference Server to version r26.03 or later.

Proactive Monitoring: Audit access logs for unauthorized sessions or requests that should have been blocked by authentication requirements.

Compensating Controls: Implement strong network segmentation and access control lists (ACLs) to limit access to the inference server to known, trusted IP addresses only.

Exploitation Status

Public Exploit Available: Unknown

Analyst Notes: As of May 20, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. Authentication bypass flaws are highly attractive to attackers and must be remediated as a top priority.

Analyst Recommendation

The ability for an unauthenticated user to bypass security controls presents a severe risk to the integrity and confidentiality of the inference environment. Immediate patching to version r26.03 is essential to secure the system against unauthorized access.

---METADATA---
VENDOR: NVIDIA
PRODUCT: TensorRT
AFFECTED_VERSIONS: NVIDIA TensorRT: 0 up to (excluding) v10.16.1
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
NVIDIA TensorRT is susceptible to an out-of-bounds write vulnerability, which could allow an attacker to corrupt memory or execute arbitrary code.

Executive Summary:
An out-of-bounds write vulnerability in NVIDIA TensorRT could allow an attacker to cause memory corruption and potentially lead to service disruption or code execution.

Vulnerability Details

CVE-ID: CVE-2026-24188

Affected Software: NVIDIA TensorRT

Affected Versions: NVIDIA TensorRT: 0 up to (excluding) v10.16.1

Vulnerability: This flaw is an out-of-bounds write (CWE-787) that occurs during processing. The vulnerability is network-exploitable and does not require authentication or user interaction, making it highly attractive for automated exploitation.

Business Impact

With a CVSS score of 8.2, this vulnerability poses a high risk to business operations. An out-of-bounds write can lead to application crashes (Denial of Service) or, in certain configurations, allow an attacker to overwrite critical memory structures to achieve code execution, threatening the integrity of the host system.

Remediation Plan

Immediate Action: Upgrade to NVIDIA TensorRT version 10.16.1 or later to resolve the memory safety issue.

Proactive Monitoring: Review network traffic and application logs for malformed input patterns or unexpected service restarts that may indicate attempted exploitation.

Compensating Controls: Implement network-level filtering or a Web Application Firewall (WAF) to detect and block malformed requests directed at TensorRT-based services.

Exploitation Status

Public Exploit Available: No (exploit_available: false)

Analyst Notes: As of May 21, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. Out-of-bounds write vulnerabilities are classic targets for attackers seeking to bypass system security controls.

Analyst Recommendation

The high CVSS score and the lack of required authentication make this a critical update. Administrators must patch affected TensorRT instances immediately to prevent potential remote exploitation of the service.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Display Driver for Linux
AFFECTED_VERSIONS: See vendor advisory for specific affected versions
---END_METADATA---

Description Summary:
A use-after-free vulnerability in the NVIDIA Display Driver for Linux may allow a local attacker to cause a system crash or potentially execute arbitrary code.

Executive Summary:
A critical use-after-free vulnerability in the NVIDIA Linux Display Driver poses a risk of system instability and potential arbitrary code execution.

Vulnerability Details

CVE-ID: CVE-2026-24187

Affected Software: NVIDIA Display Driver for Linux

Affected Versions: See vendor advisory for specific affected versions

Vulnerability: The vulnerability is a use-after-free error within the driver code. An attacker with local access could potentially exploit this memory management flaw to trigger a kernel-level failure or, under specific conditions, gain elevated privileges.

Business Impact

The CVSS score of 8.8 highlights the severity of this kernel-level issue. Successful exploitation could result in full system compromise or denial-of-service, significantly impacting systems that rely on high-performance computing or graphical processing for critical tasks.

Remediation Plan

Immediate Action: Update NVIDIA Linux Display Drivers to the latest version recommended by the vendor or Linux distribution maintainers.

Proactive Monitoring: Monitor system logs for repeated driver crashes or unexpected kernel errors that may indicate exploitation attempts.

Compensating Controls: Apply principle of least privilege to restrict access to the system for non-administrative users, reducing the likelihood of local exploitation.

Exploitation Status

Public Exploit Available: false

Analyst Notes: As of May 27, 2026, there is no public information indicating active exploitation of this vulnerability. However, due to the nature of the flaw, the potential for exploitation is high.

Analyst Recommendation

System administrators managing Linux environments with NVIDIA hardware should schedule an immediate update of the display drivers. Ensuring kernel security is paramount to preventing local privilege escalation and maintaining system uptime.

---METADATA---
VENDOR: NVIDIA
PRODUCT: NVFlare Dashboard
AFFECTED_VERSIONS: All versions prior to 2.7.2
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
NVIDIA NVFlare Dashboard contains an authorization bypass vulnerability allowing unauthenticated attackers to gain unauthorized access via user-controlled keys.

Executive Summary:
A critical authorization bypass in the NVIDIA NVFlare Dashboard allows unauthenticated attackers to gain full administrative control over the application.

Vulnerability Details

CVE-ID: CVE-2026-24178

Affected Software: NVIDIA NVFlare Dashboard

Affected Versions: All versions prior to 2.7.2

Vulnerability: The vulnerability exists in the user management and authentication system, where improper handling of user-controlled keys allows an unauthenticated attacker to bypass authorization. This can lead to privilege escalation, unauthorized data access, and potential remote code execution.

Business Impact

The vulnerability allows for complete compromise of the NVFlare Dashboard, which is critical for managing federated learning workflows. Unauthorized access could result in the exfiltration of sensitive training data, tampering with machine learning models, or the disruption of critical research and development operations. The 9.8 CVSS score highlights the extreme risk to organizational data and system integrity.

Remediation Plan

Immediate Action: Update the NVIDIA NVFlare Dashboard to version 2.7.2 or later immediately to patch the authentication and authorization logic.

Proactive Monitoring: Review audit logs for unauthorized access attempts or suspicious administrative actions that occurred prior to the patch deployment.

Compensating Controls: Ensure the dashboard is not exposed to the public internet; place the service behind a VPN or robust authentication proxy to add a layer of defense-in-depth.

Exploitation Status

Public Exploit Available: Unknown.

Analyst Notes: As of April 29, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. The nature of the flaw makes it highly attractive for attackers as it allows for unauthenticated access.

Analyst Recommendation

This is a high-priority vulnerability that requires immediate attention. Organizations running NVFlare Dashboard must apply the 2.7.2 update as soon as possible, as the ability for unauthenticated users to gain administrative privileges presents an unacceptable level of risk to the confidentiality and integrity of federated learning environments.

---METADATA---
VENDOR: NVIDIA
PRODUCT: TensorRT-LLM
AFFECTED_VERSIONS: NVIDIA TensorRT-LLM: 0 up to (excluding) v1.2
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
NVIDIA TensorRT-LLM contains an unsafe deserialization vulnerability in its RPC testing mechanism that could lead to unauthorized system impact.

Executive Summary:
A vulnerability in NVIDIA TensorRT-LLM allows for unsafe deserialization of untrusted data, potentially leading to total system compromise by a high-privileged attacker.

Vulnerability Details

CVE-ID: CVE-2026-24163

Affected Software: NVIDIA TensorRT-LLM

Affected Versions: NVIDIA TensorRT-LLM: 0 up to (excluding) v1.2

Vulnerability: This vulnerability (CWE-502) involves unsafe deserialization of untrusted data within the RPC testing component. The CVSS vector (PR:H) indicates that successful exploitation requires an attacker to possess high privileges.

Business Impact

The potential for unsafe deserialization poses a severe risk, as it may allow an attacker to achieve code execution or perform unauthorized operations on the host system. While the CVSS score of 7.5 reflects a high severity, the technical impact is categorized as total, warranting immediate attention to protect the integrity and availability of AI/ML infrastructure.

Remediation Plan

Immediate Action: Update NVIDIA TensorRT-LLM to version 1.2 or later to resolve the deserialization vulnerability.

Proactive Monitoring: Monitor RPC service logs for abnormal deserialization requests or unexpected process spawning originating from the testing service.

Compensating Controls: Ensure that access to RPC testing interfaces is strictly restricted to authorized administrative accounts and network segments, minimizing the attack surface.

Exploitation Status

Public Exploit Available: false

Analyst Notes: As of May 20, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. The requirement for high privileges significantly limits the potential attacker base for this flaw.

Analyst Recommendation

Given the potential for total system impact, administrators should prioritize updating TensorRT-LLM to version 1.2 or later. Organizations utilizing these libraries in production environments should ensure that testing components are not exposed to untrusted network segments.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Megatron-LM
AFFECTED_VERSIONS: All platforms; See vendor advisory for specific affected versions
---END_METADATA---

Description Summary:
A code injection vulnerability in NVIDIA Megatron-LM for all platforms allows an attacker to execute arbitrary code by providing malicious data to a vulnerable script.

Executive Summary:
NVIDIA Megatron-LM contains a high-severity code injection vulnerability that could allow an attacker to execute malicious code across all supported platforms.

Vulnerability Details

CVE-ID: CVE-2026-24149

Affected Software: NVIDIA Megatron-LM

Affected Versions: All platforms; See vendor advisory

Vulnerability: The vulnerability exists in a script within the Megatron-LM framework. An attacker can create malicious data that, when processed by the script, triggers a code injection, allowing for the execution of arbitrary commands in the context of the application.

Business Impact

This flaw poses a severe risk to AI and machine learning environments, potentially allowing an attacker to steal proprietary models, manipulate training data, or gain a foothold in high-performance computing clusters. The CVSS score of 7.8 indicates a High severity risk due to the potential for complete system compromise.

Remediation Plan

Immediate Action: Apply the security updates provided by NVIDIA for Megatron-LM immediately to patch the vulnerable script.

Proactive Monitoring: Review system logs for unusual process execution or network connections originating from the machine learning environment.

Compensating Controls: Implement strict input validation on all data processed by Megatron-LM scripts and isolate the training environment from the broader corporate network.

Exploitation Status

Public Exploit Available: false

Analyst Notes: As of February 5, 2026, there is no public information indicating active exploitation of this vulnerability. However, the nature of code injection in a widely used ML framework makes this a highly attractive target for sophisticated attackers.

Analyst Recommendation

NVIDIA Megatron-LM is a critical component in many AI pipelines. Organizations should prioritize patching this code injection vulnerability immediately to protect their intellectual property and computational resources from unauthorized access.

---METADATA---
VENDOR: NVIDIA
PRODUCT: TensorRT-LLM
AFFECTED_VERSIONS: 0 up to (excluding) v1.2
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
NVIDIA TensorRT-LLM contains an unsafe deserialization vulnerability in the MPI server, potentially allowing for arbitrary code execution.

Executive Summary:
An unsafe deserialization vulnerability in the NVIDIA TensorRT-LLM MPI server could allow a local attacker with high privileges to compromise system integrity.

Vulnerability Details

CVE-ID: CVE-2025-33255

Affected Software: NVIDIA TensorRT-LLM

Affected Versions: 0 up to (excluding) v1.2

Vulnerability: The vulnerability is classified as CWE-502: Deserialization of Untrusted Data. It occurs in the MPI server component and requires high privileges (PR:H) and local access (AV:L), limiting the typical attack surface.

Business Impact

While the CVSS score is 7.5, the requirement for high privileges and local access reduces the immediate risk for many environments. However, successful exploitation could lead to full system compromise, as it allows for arbitrary code execution with the permissions of the MPI server process.

Remediation Plan

Immediate Action: Update NVIDIA TensorRT-LLM to version 1.2 or later as specified by the vendor's security advisory.

Proactive Monitoring: Monitor MPI server communications and execution logs for unexpected behavior or unauthorized process spawning.

Compensating Controls: Enforce strict access control policies on the local machine to ensure that only authorized users have the high-level privileges required to trigger this vulnerability.

Exploitation Status

Public Exploit Available: No

Analyst Notes: As of May 20, 2026, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. The complexity of the attack (AC:H) provides an additional layer of defense against opportunistic exploitation.

Analyst Recommendation

Although the prerequisites for exploitation are significant, the potential for a total system compromise warrants immediate patching. Organizations utilizing NVIDIA TensorRT-LLM should verify their current version and apply the update to version 1.2 to eliminate this deserialization risk.

---METADATA---
VENDOR: NVIDIA
PRODUCT: APEX
AFFECTED_VERSIONS: PyTorch versions earlier than 2.6
CONFIDENCE: high
MISSING: patch
---END_METADATA---

Description Summary:
NVIDIA APEX for Linux is vulnerable to deserialization of untrusted data when used with PyTorch versions earlier than 2.6, potentially leading to arbitrary code execution.

Executive Summary:
A critical deserialization vulnerability in NVIDIA APEX, when paired with outdated PyTorch versions, exposes systems to remote code execution and full system compromise.

Vulnerability Details

CVE-ID: CVE-2025-33244

Affected Software: NVIDIA APEX

Affected Versions: PyTorch versions earlier than 2.6

Vulnerability: The software fails to properly sanitize untrusted data during deserialization, allowing an unauthenticated attacker to inject malicious payloads. This flaw can be triggered within environments utilizing PyTorch versions prior to 2.6, resulting in impacts ranging from denial of service to full remote code execution.

Business Impact

The ability for an unauthenticated attacker to execute arbitrary code poses a severe risk to organizational data integrity and system availability. Given the CVSS score of 9.0, this vulnerability could facilitate privilege escalation and widespread data tampering, leading to significant operational disruption and potential exfiltration of sensitive information.

Remediation Plan

Immediate Action: Upgrade all PyTorch environments to version 2.6 or later to ensure the underlying deserialization handling is secured.

Proactive Monitoring: Inspect system logs for unusual deserialization patterns or unexpected process execution originating from the Python environment.

Compensating Controls: Implement strict network segmentation to limit access to systems running APEX and utilize integrity monitoring to detect unauthorized code execution.

Exploitation Status

Public Exploit Available: Unknown

Analyst Notes: As of Mar 24, 2026, there is no public information indicating active exploitation of this vulnerability. However, due to the nature of the flaw, the potential for exploitation is high.

Analyst Recommendation

This vulnerability represents a significant threat to environments leveraging machine learning workflows. Administrators must prioritize updating PyTorch to version 2.6 immediately to eliminate the deserialization vector and mitigate the risk of remote exploitation.

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.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Isaac Launchable
AFFECTED_VERSIONS: All versions prior to 1.1
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
NVIDIA Isaac Launchable is susceptible to execution with unnecessary privileges, potentially allowing unauthenticated remote attackers to achieve code execution or data tampering.

Executive Summary:
A critical vulnerability in NVIDIA Isaac Launchable allows unauthenticated remote attackers to execute code with excessive privileges, posing a severe risk to system integrity.

Vulnerability Details

CVE-ID: CVE-2025-33224

Affected Software: NVIDIA Isaac Launchable

Affected Versions: All versions prior to 1.1

Vulnerability: This issue is classified as CWE-250 (Execution with Unnecessary Privileges). The CVSS vector (AV:N/AC:L/PR:N/UI:N) confirms that the vulnerability is remotely exploitable by an unauthenticated attacker without requiring user interaction.

Business Impact

Successful exploitation grants an attacker significant control over the affected system, enabling full code execution, privilege escalation, and unauthorized data modification. Given the CVSS score of 9.8, this vulnerability represents a critical risk to business operations, potentially leading to total system compromise and data exfiltration.

Remediation Plan

Immediate Action: Upgrade to NVIDIA Isaac Launchable version 1.1 or later immediately to resolve the privilege management flaw.

Proactive Monitoring: Monitor system and application logs for unusual process executions or unexpected administrative actions originating from network-accessible services.

Compensating Controls: Deploy Network Access Control (NAC) and restrict access to the application to trusted IP addresses until the patch is applied.

Exploitation Status

Public Exploit Available: No

Analyst Notes: As of Dec 23, 2025, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. The flaw's inherent exploitability is high due to the lack of required authentication.

Analyst Recommendation

This vulnerability is critical and requires immediate attention due to its ease of exploitation and potential for total system impact. Organizations should prioritize patching NVIDIA Isaac Launchable to version 1.1 to eliminate the risk of remote code execution.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Isaac Launchable
AFFECTED_VERSIONS: All versions prior to 1.1
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
A vulnerability in NVIDIA Isaac Launchable permits unauthenticated remote attackers to execute operations with excessive privileges, leading to potential code execution or denial of service.

Executive Summary:
NVIDIA Isaac Launchable contains a critical privilege execution flaw that enables unauthenticated attackers to compromise the system remotely.

Vulnerability Details

CVE-ID: CVE-2025-33223

Affected Software: NVIDIA Isaac Launchable

Affected Versions: All versions prior to 1.1

Vulnerability: This vulnerability involves CWE-250 (Execution with Unnecessary Privileges), allowing an unauthenticated attacker to abuse the application's process privileges. The CVSS vector indicates that no user interaction or authentication is required for a successful remote attack.

Business Impact

The ability for an unauthenticated user to execute commands with elevated privileges poses a catastrophic risk to the confidentiality, integrity, and availability of the host system. With a CVSS score of 9.8, this flaw could be leveraged to disrupt services or steal sensitive data, necessitating urgent remediation.

Remediation Plan

Immediate Action: Upgrade all instances of NVIDIA Isaac Launchable to version 1.1 or later to remediate the privilege execution vulnerability.

Proactive Monitoring: Review security logs for anomalous network traffic or unauthorized service calls that deviate from standard operational baselines.

Compensating Controls: Utilize a Web Application Firewall (WAF) or equivalent network filtering to block unauthorized access to the affected service until the update is deployed.

Exploitation Status

Public Exploit Available: No

Analyst Notes: As of Dec 23, 2025, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. The lack of authentication requirements makes this a highly attractive target for remote exploitation.

Analyst Recommendation

Given the critical severity and the potential for complete system compromise, organizations must treat this update as high priority. Apply the vendor-provided patch to version 1.1 to ensure the environment is protected against unauthorized privilege escalation.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Isaac Launchable
AFFECTED_VERSIONS: All versions prior to 1.1
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
NVIDIA Isaac Launchable is affected by a hard-coded credential vulnerability, allowing unauthenticated remote attackers to gain unauthorized access and execute code.

Executive Summary:
A critical hard-coded credential vulnerability in NVIDIA Isaac Launchable exposes the system to unauthorized remote access and potential code execution.

Vulnerability Details

CVE-ID: CVE-2025-33222

Affected Software: NVIDIA Isaac Launchable

Affected Versions: All versions prior to 1.1

Vulnerability: This vulnerability is classified as CWE-798 (Use of Hard-coded Credentials). The CVSS vector confirms the vulnerability is remotely exploitable (AV:N) and requires no authentication (PR:N) or user interaction (UI:N).

Business Impact

Hard-coded credentials allow attackers to bypass standard authentication mechanisms, granting them unauthorized access to the application. Given the CVSS score of 9.8, this flaw facilitates severe outcomes, including full system compromise, data theft, and persistent unauthorized access, which could lead to significant reputational and operational damage.

Remediation Plan

Immediate Action: Update NVIDIA Isaac Launchable to version 1.1 or later to remove the hard-coded credentials and implement secure authentication practices.

Proactive Monitoring: Inspect application authentication logs for successful logins using generic or unexpected credentials, which may indicate exploitation attempts.

Compensating Controls: Isolate the affected system from the public internet and restrict access to trusted, hardened management networks to mitigate the risk of credential misuse.

Exploitation Status

Public Exploit Available: No

Analyst Notes: As of Dec 23, 2025, there is no public information indicating active exploitation or a public proof-of-concept for this vulnerability. Hard-coded credential flaws are inherently dangerous as they provide a direct path for attackers to gain entry without needing to bypass complex security controls.

Analyst Recommendation

The presence of hard-coded credentials constitutes a critical security failure. Administrators should prioritize the deployment of the 1.1 update immediately to replace the insecure authentication mechanism and secure the application against unauthorized access.

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.

---METADATA---
VENDOR: NVIDIA
PRODUCT: Container Toolkit / GPU Operator
AFFECTED_VERSIONS: NVIDIA Container Toolkit up to 1.17.7; NVIDIA GPU Operator up to 25.3.0
CONFIDENCE: high
MISSING: none
---END_METADATA---

Description Summary:
A vulnerability in NVIDIA Container Toolkit hooks allows local attackers with low privileges to execute arbitrary code with elevated permissions during container initialization.

Executive Summary:
A critical vulnerability in the NVIDIA Container Toolkit and GPU Operator allows low-privileged attackers to achieve arbitrary code execution with elevated privileges.

Vulnerability Details

CVE-ID: CVE-2025-23266

Affected Software: NVIDIA Container Toolkit and NVIDIA GPU Operator

Affected Versions: NVIDIA Container Toolkit all versions up to and including 1.17.7 (CDI mode only for versions prior to 1.17.5); NVIDIA GPU Operator all versions up to and including 25.3.0 (CDI mode only for versions prior to 25.3.0).

Vulnerability: This flaw (CWE-426: Untrusted Search Path) exists within container initialization hooks, where improper handling of search paths permits an attacker with low privileges to manipulate the execution environment.

Business Impact

The ability for a low-privileged user to execute arbitrary code with elevated permissions poses a severe threat to containerized environments. This could lead to a full compromise of the host system, unauthorized data exfiltration, or complete loss of control over the affected GPU-accelerated workloads. The high CVSS score of 9.0 reflects the significant potential for lateral movement and total system impact.

Remediation Plan

Immediate Action: Update the NVIDIA Container Toolkit and NVIDIA GPU Operator to the latest available versions per the vendor advisory.

Proactive Monitoring: Monitor system logs for unexpected execution of binaries or suspicious process spawning during container startup phases.

Compensating Controls: Implement strict container runtime security policies and restrict the ability of low-privileged users to modify or influence container configuration files.

Exploitation Status

Public Exploit Available: Yes — multiple public proof-of-concept repositories exist on GitHub.

Analyst Notes: As of July 17, 2025, there is no confirmed active exploitation in the wild; however, the availability of multiple public proof-of-concept repositories makes this an elevated risk. The vulnerability's reliance on untrusted search paths makes it highly susceptible to exploitation in environments where users have control over container definitions.

Analyst Recommendation

Given the critical severity and the presence of public exploit code, organizations must prioritize patching these components immediately. Failure to update may allow an attacker to escalate privileges and compromise the integrity of the entire container host infrastructure.

Executive Summary:
A high-severity privilege escalation vulnerability in NVIDIA DOCA allows a local, low-privileged attacker to gain elevated permissions and completely compromise the affected system.

Vulnerability Details

CVE-ID: CVE-2025-23258

Affected Software: NVIDIA DOCA

Affected Versions: See vendor advisory for specific affected versions

Vulnerability: The vulnerability exists within the collectx-dpeserver Debian package for arm64 architectures. An authenticated attacker with low privileges on the local system can exploit this flaw to escalate their privileges, potentially to root or administrator level.

Business Impact

This vulnerability is rated 7.3 (High), reflecting the severity of a local privilege escalation. A successful exploit would allow an attacker to bypass all security controls on the system, granting them the ability to read, modify, or delete any data, install malicious software such as rootkits or ransomware, and disable security tools. The integrity and confidentiality of the entire system would be compromised.

Remediation Plan

Immediate Action: Apply the security updates provided by NVIDIA for the DOCA software suite immediately. This is the only way to fully remediate the vulnerability.

Proactive Monitoring: Monitor system logs for unauthorized or unexpected privilege escalation events (e.g., sudo activity from non-privileged accounts). Use file integrity monitoring to detect unauthorized changes to critical system files.

Compensating Controls: Enforce the principle of least privilege for all user accounts. Restrict shell access and software execution capabilities for low-privilege users to limit their ability to launch an exploit.

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, privilege escalation vulnerabilities are a key component in multi-stage attacks, often used after an initial low-privilege intrusion.

Analyst Recommendation

Privilege escalation vulnerabilities undermine the fundamental security model of an operating system. It is critical that administrators patch all affected systems running NVIDIA DOCA immediately to prevent a low-level compromise from escalating into a full system takeover.

Executive Summary:
A high-severity privilege escalation vulnerability in an NVIDIA DOCA Debian package allows a local attacker with low privileges to gain elevated, likely root, permissions on the affected system.

Vulnerability Details

CVE-ID: CVE-2025-23257

Affected Software: NVIDIA DOCA

Affected Versions: See vendor advisory for affected versions

Vulnerability: A vulnerability within the collectx-clxapidev Debian package allows a local actor with low privileges to escalate their permissions. This type of flaw often stems from insecure file permissions, SUID binaries with controllable inputs, or command injection in scripts that run with higher privileges.

Business Impact

With a CVSS score of 7.3 (High), this vulnerability poses a significant threat to the security of systems with NVIDIA DOCA installed. An attacker who has already gained an initial low-privilege foothold (e.g., as a normal user) can exploit this flaw to gain full root control of the system. This would allow them to disable security controls, steal all data, install persistent malware, and pivot to other systems on the network.

Remediation Plan

Immediate Action: Apply the security updates provided by NVIDIA for the affected DOCA package immediately. Prioritize patching on multi-user systems and critical infrastructure.

Proactive Monitoring: Monitor system audit logs for unusual process execution by low-privilege users, especially any interaction with files or binaries related to the collectx-clxapidev package. Look for unauthorized modifications to system files.

Compensating Controls: Enforce the principle of least privilege, ensuring users and services have only the permissions they absolutely require. Utilize endpoint security solutions to detect and block privilege escalation techniques.

Exploitation Status

Public Exploit Available: false

Analyst Notes: As of September 4, 2025, there is no public information indicating active exploitation. Local privilege escalation vulnerabilities are a key component of the attacker lifecycle, used after an initial compromise has been achieved.

Analyst Recommendation

A local privilege escalation vulnerability is a critical weakness that nullifies system access controls. It is imperative that system administrators deploy the NVIDIA patch immediately to prevent attackers from elevating a minor intrusion into a full system compromise.

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.