Incident Score: Analysis & Impact (NISSCATOYVOLKAWAVIJAG1775680268)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Aviso'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 Aviso 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 Aviso breach identified under incident ID NISSCATOYVOLKAWAVIJAG1775680268.
The analysis begins with a detailed overview of Aviso's information like the linkedin page: https://www.linkedin.com/company/aviso, the number of followers: 114008, the industry type: Financial Services and the number of employees: 1711 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 764 and after the incident was 603 with a difference of -161 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 Aviso 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%), with evidence including exploited vulnerabilities in Cleo software, and cloud misconfiguration exposed terabytes of data, Valid Accounts (T1078) with high confidence (90%), with evidence including compromised credentials from an IT partner (Scania), and aDRecon used to map Active Directory environments, and Trusted Relationship (T1199) with high confidence (90%), with evidence including third-party breach led to leak of 240GB of data (Toyota), and third-party vulnerabilities cited as root cause. 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 confidence (60%), supported by evidence indicating aDRecon used for Active Directory mapping (Toyota). Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating compromised credentials used for access (Scania). Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating network credentials leaked (Toyota) and Exploitation for Privilege Escalation (T1068) with moderate confidence (60%), supported by evidence indicating exploited vulnerabilities in Cleo software (Hertz). 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 defenses (Scania) and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating ransomware strains (RansomHub, Clop, Qilin) deployed. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating aDRecon used to map Active Directory environments (Toyota) and Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating network credentials leaked (Toyota). Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (80%), supported by evidence indicating aDRecon used for Active Directory mapping (Toyota) and File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating 4TB of design data stolen (Nissan). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including 487GB of sensitive data stolen (Kawasaki), and 240GB of data leaked (Toyota) and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating geolocation records from 800,000 vehicles exposed (Volkswagen). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including 4TB of design data stolen (Nissan), and data exfiltration confirmed in ransomware cases and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating data offered for sale on the dark web (Scania, Kawasaki). 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) deployed, Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating production halts at multiple plants (Jaguar Land Rover), and Defacement (T1491) with lower confidence (40%), supported by evidence indicating reputational damage cited as impact. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Aviso Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/aviso/incident/NISSCATOYVOLKAWAVIJAG1775680268
- Aviso CyberSecurity Rating page: https://www.rankiteo.com/company/aviso
- Aviso 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/
- Aviso CyberSecurity Score History: https://www.rankiteo.com/company/aviso/history
- Aviso 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