Incident Score: Analysis & Impact (SAMNVI1775781329)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of NVIDIA's Cyber Attack 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 SAMNVI1775781329.
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: 6000986, the industry type: Computer Hardware Manufacturing and the number of employees: 50410 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 806 and after the incident was 802 with a difference of -4 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.
Nvidia recently reported "Evolution of Ransomware Tactics: From Encryption to Data Extortion and Corruption", a noteworthy cybersecurity incident.
Cybercriminals behind ransomware attacks are shifting tactics, moving away from traditional full encryption toward faster, more flexible extortion methods.
The disruption is felt across the environment, and exposing True.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as The ransomware landscape is evolving toward faster, more flexible extortion methods, including pure data theft, partial encryption, and data corruption. Defenders must adapt to a broader range of attack methods beyond traditional ransomware.
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 high confidence (90%), supported by evidence indicating exploiting vulnerabilities in exposed services (e.g., outdated Fortinet VPNs), Valid Accounts (T1078) with high confidence (90%), with evidence including stolen credentials, and initial Access Brokers (IABs), and Phishing (T1566) with moderate to high confidence (80%), with evidence including phishing, and social engineering (SIM-swapping). Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate to high confidence (70%), supported by evidence indicating stolen credentials via phishing or social engineering and Credentials from Password Stores (T1555) with moderate confidence (60%), supported by evidence indicating stolen credentials used to bypass MFA. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating stolen credentials used for persistent access. Under the Defense Evasion tactic, the analysis identified Execution Guardrails (T1480) with moderate to high confidence (70%), supported by evidence indicating partial encryption to evade detection by monitoring tools and Obfuscated Files or Information (T1027) with moderate confidence (60%), supported by evidence indicating data corruption to avoid decryption tools. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating sensitive data, proprietary information, PII compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed in ransomware incidents and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating threatening to leak or auction stolen data. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (80%), supported by evidence indicating partial or intermittent encryption used by BlackCat, Royal, etc., Defacement (T1491) with moderate confidence (50%), supported by evidence indicating data corruption replacing chunks of data with unrelated content, and Data Destruction (T1485) with moderate to high confidence (70%), supported by evidence indicating data corruption as a faster alternative to encryption. 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/SAMNVI1775781329
- NVIDIA CyberSecurity Rating page: https://www.rankiteo.com/company/nvidia
- NVIDIA Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/samnvi1775781329-nvidia-samsung-cyber-attack-october-2022/
- NVIDIA CyberSecurity Score History: https://www.rankiteo.com/company/nvidia/history
- NVIDIA CyberSecurity Incident Source: https://www.sentinelone.com/blog/ransoms-without-ransomware-data-corruption-and-other-new-tactics-in-cyber-extortion/
- 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