Incident Score: Analysis & Impact (NVI1769095320)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of NVIDIA's Vulnerability and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts NVIDIA Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the NVIDIA breach identified under incident ID NVI1769095320.
The analysis begins with a detailed overview of NVIDIA's information like the linkedin page: https://www.linkedin.com/company/nvidia, the number of followers: 4593033, the industry type: Computer Hardware Manufacturing and the number of employees: 44040 employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 825 and after the incident was 822 with a difference of -3 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on NVIDIA and their customers.
On 20 January 2026, NVIDIA disclosed Vulnerability issues under the banner "NVIDIA Patches High-Severity Vulnerabilities in CUDA Toolkit".
NVIDIA has released a critical security update addressing four high-severity vulnerabilities in its CUDA Toolkit, which could enable attackers to execute arbitrary code, escalate privileges, and compromise system integrity.
The disruption is felt across the environment, affecting NVIDIA Nsight Systems, Nsight Visual Studio Edition, CUDA Toolkit (up to 13.1).
In response, moved swiftly to contain the threat with measures like Released security patches in the latest CUDA Toolkit update, and began remediation that includes Urged users to upgrade to the latest patched version, and stakeholders are being briefed through Public disclosure on NVIDIA’s Product Security page.
The case underscores how and recommending next steps like Organizations are advised to prioritize patching, especially in environments processing proprietary models or classified data, with advisories going out to stakeholders covering Users are urged to upgrade to the latest patched version of CUDA Toolkit.
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating vulnerabilities in its CUDA Toolkit...could enable attackers to execute arbitrary code and Exploitation for Client Execution (T1203) with moderate to high confidence (70%), supported by evidence indicating command injection and DLL loading flaws with CVSS scores ranging from 6.7 to 7.3. Under the Execution tactic, the analysis identified Command and Scripting Interpreter (T1059) with high confidence (90%), supported by evidence indicating inject OS commands via malicious input in the *gfx_hotspot* recipe’s *process_nsys_rep_cli.py* script and Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating execute arbitrary code, escalate privileges, and compromise system integrity. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with high confidence (90%), supported by evidence indicating privilege escalation flaw in Nsight Visual Studio Edition’s Monitor component and Abuse Elevation Control Mechanism: Bypass User Account Control (T1548.002) with moderate to high confidence (70%), supported by evidence indicating execute code at elevated privileges (CVE-2025-33229). Under the Defense Evasion tactic, the analysis identified Hijack Execution Flow: DLL Search Order Hijacking (T1574.001) with moderate to high confidence (80%), supported by evidence indicating uncontrolled DLL search path vulnerability in Windows (CVE-2025-33231). Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with moderate confidence (60%), supported by evidence indicating compromise system integrity in data centers handling sensitive workloads and Data Manipulation: Transmitted Data Manipulation (T1565.002) with moderate confidence (50%), supported by evidence indicating arbitrary code execution...in environments processing proprietary models. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- NVIDIA Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/nvidia/incident/NVI1769095320
- NVIDIA CyberSecurity Rating page: https://www.rankiteo.com/company/nvidia
- NVIDIA Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/nvi1769095320-nvidia-vulnerability-june-2025/
- NVIDIA CyberSecurity Score History: https://www.rankiteo.com/company/nvidia/history
- NVIDIA CyberSecurity Incident Source: https://cyberpress.org/nvidia-cuda-toolkit-vulnerability-enables-command-injection-and-arbitrary-code-execution/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf