CVE-2026-24263 in DGX Spark
Summary
by MITRE • 08/25/2026
NVIDIA DGX Spark contains a vulnerability in the system firmware, where a privileged attacker could be able to cause a NULL pointer dereference. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, denial of service, information disclosure, and data tampering.
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Analysis
by VulDB Data Team • 08/25/2026
The identified security flaw resides within the system firmware components of NVIDIA DGX Spark hardware platforms. This specific vulnerability is characterized by a NULL pointer dereference condition that can be triggered by an attacker possessing privileged access levels to the affected system. In software engineering terms, a NULL pointer dereference occurs when a program attempts to use a pointer variable that has not been assigned any valid memory address or has explicitly been set to null. While such errors are often associated with application-level crashes in user-space programs, their presence within firmware introduces significantly higher severity due to the elevated execution context and direct hardware interaction capabilities inherent to low-level system code. The vulnerability highlights a critical gap in input validation and error handling mechanisms during the initialization or runtime operations of the DGX Spark's underlying management controllers or boot sequences.
From an operational perspective, the exploitation of this firmware-based NULL pointer dereference presents severe consequences for system integrity and availability. A successful exploit allows a privileged attacker to manipulate memory execution flow, potentially leading to arbitrary code execution within the firmware environment. This capability effectively bypasses traditional operating system security boundaries, granting the adversary control over critical hardware functions. The impact extends beyond simple application crashes; it encompasses escalation of privileges where an actor with limited initial access can gain full administrative or root-level control over the infrastructure. Furthermore, the vulnerability facilitates denial of service conditions by causing firmware instability or permanent brick states in affected modules, thereby disrupting high-performance computing operations essential to data center workflows.
The security implications also include significant risks related to information disclosure and data tampering. By exploiting this flaw, an attacker may access sensitive memory regions containing cryptographic keys, authentication credentials, or proprietary configuration data stored within the firmware space. Additionally, the ability to execute arbitrary code enables malicious actors to modify system parameters, alter boot processes, or implant persistent backdoors that survive operating system reinstalls and standard security patches. This level of compromise undermines trust in the hardware foundation, which is particularly critical for NVIDIA DGX systems used in sensitive AI training environments where data confidentiality and computational integrity are paramount requirements.
To mitigate these risks, organizations deploying NVIDIA DGX Spark infrastructure must prioritize strict access control policies to limit privileged user accounts that could potentially trigger firmware interactions. Regular application of vendor-provided firmware updates is essential as patches typically address memory safety issues through improved pointer validation and exception handling routines. Security teams should also implement hardware-based isolation mechanisms where available, such as Intel TXT or AMD SEV technologies, to restrict the impact of any potential firmware compromise on guest operating systems. Continuous monitoring for anomalous behavior in system management interfaces can aid in early detection of exploitation attempts before full system compromise occurs. Adherence to industry standards such as CWE-476 for NULL pointer dereference and ATT&CK techniques related to privilege escalation and persistence within the firmware layer provides a structured framework for assessing and hardening these critical infrastructure components against similar threats.