Incident Score: Analysis & Impact (NISSCATOYVOLKAWAVIJAG1775680268)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Volkswagen Group's Ransomware 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 Volkswagen Group 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 Volkswagen Group breach identified under incident ID NISSCATOYVOLKAWAVIJAG1775680268.
The analysis begins with a detailed overview of Volkswagen Group's information like the linkedin page: https://www.linkedin.com/company/volkswagen-group, the number of followers: 1760391, the industry type: Motor Vehicle Manufacturing and the number of employees: 107796 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 767 and after the incident was 652 with a difference of -115 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 Volkswagen Group and their customers.
Avis Rent a Car recently reported "Cyberattacks Surge in the Automotive Industry: Key Incidents from 2024–2025", a noteworthy cybersecurity incident.
The automotive sector has become a prime target for cybercriminals, with attacks ranging from ransomware extortion to large-scale data breaches exposing sensitive customer and operational data.
The disruption is felt across the environment, affecting business applications, cloud storage and production systems, and exposing personal data, employee records and financial documents, with nearly ['299,006 (Avis)', '240GB (Toyota)', '487GB (Kawasaki)', 'terabytes (Volkswagen)', '4TB (Nissan)'] records at risk.
In response, moved swiftly to contain the threat with measures like forensic investigations and enhanced security protocols.
The case underscores how teams are taking away lessons such as The automotive sector’s expanding attack surface, from third-party vulnerabilities to cloud misconfigurations and ransomware extortion, requires stronger cybersecurity defenses, and recommending next steps like enhanced third-party risk management, cloud security hardening and ransomware preparedness.
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 to high confidence (80%), supported by evidence indicating cleo software vulnerabilities exploited by Clop ransomware gang, Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating compromised credentials from an IT partner used in Scania attack, and Trusted Relationship (T1199) with high confidence (90%), supported by evidence indicating third-party breach led to leak of 240GB of Toyota data. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating ransomware strains (RansomHub, Clop, Qilin) deployed and Command and Scripting Interpreter (T1059) with moderate to high confidence (80%), supported by evidence indicating aDRecon used to map Active Directory environments in Toyota breach. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating compromised credentials used for extortion in Scania attack. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating network credentials leaked in Toyota breach and Abuse Elevation Control Mechanism (T1548) with moderate confidence (60%), supported by evidence indicating active Directory mapping via ADRecon in Toyota incident. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating compromised credentials used to bypass authentication and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating ransomware encryption to evade detection. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (80%), supported by evidence indicating network credentials leaked in Toyota breach via ADRecon and Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating compromised credentials from IT partner in Scania attack. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with high confidence (90%), supported by evidence indicating aDRecon used to map Active Directory environments in Toyota breach and File and Directory Discovery (T1083) with moderate to high confidence (80%), supported by evidence indicating 4TB of design data stolen from Nissan, including 3D car models. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 487GB of sensitive data stolen from Kawasaki Motors Europe and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating terabytes of geolocation records exposed in Volkswagen breach. 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 attacks (RansomHub, Clop, Qilin) and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating unsecured AWS memory dump exposed Volkswagen data. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating ransomware strains (RansomHub, Clop, Qilin) encrypted data, Inhibit System Recovery (T1490) with moderate to high confidence (70%), supported by evidence indicating production halts at Jaguar Land Rover due to cyberattack, and Data Destruction (T1485) with moderate confidence (60%), supported by evidence indicating 487GB of data dumped online after Kawasaki refused to pay ransom. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Volkswagen Group Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/volkswagen-group/incident/NISSCATOYVOLKAWAVIJAG1775680268
- Volkswagen Group CyberSecurity Rating page: https://www.rankiteo.com/company/volkswagen-group
- Volkswagen Group Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/nisscatoyvolkawavijag1775680268-kawasaki-motors-europe-volkswagen-toyota-avis-rent-a-car-jaguar-land-rover-nissan-scania-ransomware-november-2025/
- Volkswagen Group CyberSecurity Score History: https://www.rankiteo.com/company/volkswagen-group/history
- Volkswagen Group CyberSecurity Incident Source: https://socradar.io/blog/major-cyber-attacks-targeting-automotive-industry-2025/
- 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