CVE-2025-33189: CWE-787 Out-of-bounds Write in NVIDIA DGX Spark
NVIDIA DGX Spark GB10 contains a vulnerability in SROOT firmware, where an attacker could cause an out-of-bound write. A successful exploit of this vulnerability might lead to code execution, data tampering, denial of service, information disclosure, or escalation of privileges.
AI Analysis
Technical Summary
CVE-2025-33189 is an out-of-bounds write vulnerability classified under CWE-787, found in the SROOT firmware component of NVIDIA DGX Spark GB10 systems. This vulnerability arises when the firmware improperly handles memory boundaries, allowing an attacker with low privileges and local access to write data beyond allocated memory regions. Such out-of-bounds writes can corrupt memory, leading to unpredictable behavior including arbitrary code execution, data tampering, denial of service, information leakage, or escalation of privileges. The vulnerability affects all versions of the DGX Spark firmware prior to the OTA0 update. The CVSS v3.1 score of 7.8 reflects a high severity, with attack vector local (AV:L), low attack complexity (AC:L), requiring privileges (PR:L), no user interaction (UI:N), unchanged scope (S:U), and high impact on confidentiality, integrity, and availability (C:H/I:H/A:H). Exploitation does not require user interaction but does require local access with some privileges, limiting remote exploitation but posing a significant risk in environments where attackers can gain such access. No public exploits are known at this time, but the potential impact on critical AI and data center workloads is substantial. The vulnerability highlights the importance of secure firmware development and rigorous boundary checks in complex hardware systems like NVIDIA DGX Spark.
Potential Impact
The impact of CVE-2025-33189 is significant for organizations using NVIDIA DGX Spark systems, which are commonly deployed in AI research, high-performance computing, and data center environments. Successful exploitation can lead to arbitrary code execution at the firmware level, enabling attackers to bypass operating system security controls and gain persistent, high-privilege access. This can result in data tampering, theft of sensitive AI models or datasets, denial of service through system crashes or firmware corruption, and unauthorized escalation of privileges. The compromise of such systems could disrupt critical AI workloads, degrade research integrity, and expose proprietary or sensitive information. Given the firmware-level nature of the vulnerability, recovery may require complex re-flashing or hardware replacement, increasing operational costs and downtime. The requirement for local access limits the attack surface but does not eliminate risk, especially in multi-tenant or shared environments where insider threats or lateral movement are possible.
Mitigation Recommendations
To mitigate CVE-2025-33189, organizations should: 1) Immediately restrict local access to NVIDIA DGX Spark systems to trusted personnel only, employing strict physical and logical access controls. 2) Monitor system logs and firmware behavior for anomalies that could indicate exploitation attempts, such as unexpected reboots or memory corruption errors. 3) Prepare to deploy the OTA0 firmware update as soon as it becomes available from NVIDIA, ensuring a tested and secure update process to avoid downtime. 4) Implement network segmentation to isolate DGX Spark systems from less trusted network zones, reducing the risk of lateral movement by attackers. 5) Conduct regular security audits and vulnerability assessments focusing on firmware and hardware components. 6) Educate administrators and users about the risks of local privilege escalation and enforce the principle of least privilege. 7) Consider deploying endpoint detection and response (EDR) solutions capable of detecting suspicious firmware-level activities. These steps go beyond generic advice by focusing on access control, monitoring, and preparation for patch deployment specific to this firmware vulnerability.
Affected Countries
United States, China, Germany, United Kingdom, Japan, South Korea, France, Canada, India, Australia
CVE-2025-33189: CWE-787 Out-of-bounds Write in NVIDIA DGX Spark
Description
NVIDIA DGX Spark GB10 contains a vulnerability in SROOT firmware, where an attacker could cause an out-of-bound write. A successful exploit of this vulnerability might lead to code execution, data tampering, denial of service, information disclosure, or escalation of privileges.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-33189 is an out-of-bounds write vulnerability classified under CWE-787, found in the SROOT firmware component of NVIDIA DGX Spark GB10 systems. This vulnerability arises when the firmware improperly handles memory boundaries, allowing an attacker with low privileges and local access to write data beyond allocated memory regions. Such out-of-bounds writes can corrupt memory, leading to unpredictable behavior including arbitrary code execution, data tampering, denial of service, information leakage, or escalation of privileges. The vulnerability affects all versions of the DGX Spark firmware prior to the OTA0 update. The CVSS v3.1 score of 7.8 reflects a high severity, with attack vector local (AV:L), low attack complexity (AC:L), requiring privileges (PR:L), no user interaction (UI:N), unchanged scope (S:U), and high impact on confidentiality, integrity, and availability (C:H/I:H/A:H). Exploitation does not require user interaction but does require local access with some privileges, limiting remote exploitation but posing a significant risk in environments where attackers can gain such access. No public exploits are known at this time, but the potential impact on critical AI and data center workloads is substantial. The vulnerability highlights the importance of secure firmware development and rigorous boundary checks in complex hardware systems like NVIDIA DGX Spark.
Potential Impact
The impact of CVE-2025-33189 is significant for organizations using NVIDIA DGX Spark systems, which are commonly deployed in AI research, high-performance computing, and data center environments. Successful exploitation can lead to arbitrary code execution at the firmware level, enabling attackers to bypass operating system security controls and gain persistent, high-privilege access. This can result in data tampering, theft of sensitive AI models or datasets, denial of service through system crashes or firmware corruption, and unauthorized escalation of privileges. The compromise of such systems could disrupt critical AI workloads, degrade research integrity, and expose proprietary or sensitive information. Given the firmware-level nature of the vulnerability, recovery may require complex re-flashing or hardware replacement, increasing operational costs and downtime. The requirement for local access limits the attack surface but does not eliminate risk, especially in multi-tenant or shared environments where insider threats or lateral movement are possible.
Mitigation Recommendations
To mitigate CVE-2025-33189, organizations should: 1) Immediately restrict local access to NVIDIA DGX Spark systems to trusted personnel only, employing strict physical and logical access controls. 2) Monitor system logs and firmware behavior for anomalies that could indicate exploitation attempts, such as unexpected reboots or memory corruption errors. 3) Prepare to deploy the OTA0 firmware update as soon as it becomes available from NVIDIA, ensuring a tested and secure update process to avoid downtime. 4) Implement network segmentation to isolate DGX Spark systems from less trusted network zones, reducing the risk of lateral movement by attackers. 5) Conduct regular security audits and vulnerability assessments focusing on firmware and hardware components. 6) Educate administrators and users about the risks of local privilege escalation and enforce the principle of least privilege. 7) Consider deploying endpoint detection and response (EDR) solutions capable of detecting suspicious firmware-level activities. These steps go beyond generic advice by focusing on access control, monitoring, and preparation for patch deployment specific to this firmware vulnerability.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- nvidia
- Date Reserved
- 2025-04-15T18:51:03.728Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6925f0bc94b153c6e1167e8a
Added to database: 11/25/2025, 6:09:00 PM
Last enriched: 2/27/2026, 6:33:59 AM
Last updated: 3/23/2026, 10:02:46 AM
Views: 76
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