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Analyze » Kawasaki Heavy Industries, Ltd. » NISSCATOYVOLKAWAVIJAG1775680268

Incident Score: Analysis & Impact (NISSCATOYVOLKAWAVIJAG1775680268)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-113
Company Score Before Incident780 / 1000
Company Score After Incident667 / 1000
INCIDENT NUMBERNISSCATOYVOLKAWAVIJAG1775680268
Type of Cyber IncidentRansomware
ATTACK VECTORexploited vulnerabilities, compromised credentials, third-party breach, cloud misconfiguration
DATA EXPOSEDpersonal data, employee records, financial...
INCIDENT DATE06/11/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Kawasaki Heavy Industries, Ltd.'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 Kawasaki Heavy Industries, Ltd. 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 Kawasaki Heavy Industries, Ltd. breach identified under incident ID NISSCATOYVOLKAWAVIJAG1775680268.

The analysis begins with a detailed overview of Kawasaki Heavy Industries, Ltd.'s information like the linkedin page: https://www.linkedin.com/company/kawasaki-heavy-industries, the number of followers: 103734, the industry type: Industrial Machinery Manufacturing and the number of employees: 1380 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 780 and after the incident was 667 with a difference of -113 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 Kawasaki Heavy Industries, Ltd. 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, Trusted Relationship (T1199) with high confidence (90%), with evidence including third-party breach led to leak of 240GB of data (Toyota), and compromised credentials from an IT partner (Scania), Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating compromised credentials used to steal insurance claim documents (Scania), and Phishing: Spearphishing Attachment (T1566.001) with moderate confidence (50%), supported by evidence indicating third-party vulnerabilities and compromised credentials suggest possible phishing. 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) imply malicious file execution and Command and Scripting Interpreter: PowerShell (T1059.001) with moderate confidence (60%), supported by evidence indicating aDRecon used to map Active Directory environments (Toyota). Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating compromised credentials from IT partners (Scania). Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating compromised credentials used for access (Scania, Toyota) and Exploitation for Privilege Escalation (T1068) with moderate confidence (60%), supported by evidence indicating aDRecon used to map Active Directory (Toyota). 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 evade detection (Scania), Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate to high confidence (70%), supported by evidence indicating ransomware strains (RansomHub, Clop, Qilin) imply hiding artifacts, and Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating ransomware encryption and data exfiltration (Kawasaki, Nissan). 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 (Toyota), Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating network credentials leaked (Toyota), and Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating compromised credentials suggest possible brute force. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (80%), supported by evidence indicating aDRecon used to map Active Directory environments (Toyota) and File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating data exfiltration of 4TB (Nissan) and 487GB (Kawasaki). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 240GB (Toyota), 487GB (Kawasaki), 4TB (Nissan) data exfiltrated, Data from Network Shared Drive (T1039) with moderate to high confidence (80%), supported by evidence indicating terabytes of data exposed via cloud misconfiguration (Volkswagen), and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating 3D car models and internal documents stolen (Nissan). Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating ransomware strains (RansomHub, Clop, Qilin) imply C2 over web protocols and Ingress Tool Transfer (T1105) with moderate confidence (60%), supported by evidence indicating aDRecon used for Active Directory mapping (Toyota). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating 487GB (Kawasaki), 4TB (Nissan) data exfiltrated via ransomware, Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating terabytes of data exposed via unsecured AWS memory dump (Volkswagen), and Exfiltration Over Alternative Protocol (T1048) with moderate confidence (60%), 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) encrypted data, Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating production halts and operational delays (Jaguar Land Rover), and Defacement: Internal Defacement (T1491.001) with lower confidence (40%), supported by evidence indicating operational disruptions and reputational damage. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (80%)
Trusted Relationship (90%)
Valid Accounts (80%)
Phishing: Spearphishing Attachment (50%)
Execution
User Execution: Malicious File (70%)
Command and Scripting Interpreter: PowerShell (60%)
Persistence
Valid Accounts (80%)
Privilege Escalation
Valid Accounts (80%)
Exploitation for Privilege Escalation (60%)
Defense Evasion
Valid Accounts (80%)
Hide Artifacts: Hidden Files and Directories (70%)
Obfuscated Files or Information (70%)
Credential Access
OS Credential Dumping (70%)
Unsecured Credentials: Credentials In Files (80%)
Brute Force (50%)
Discovery
Account Discovery (80%)
File and Directory Discovery (70%)
Collection
Data from Local System (90%)
Data from Network Shared Drive (80%)
Data from Information Repositories (80%)
Command and Control
Application Layer Protocol: Web Protocols (70%)
Ingress Tool Transfer (60%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Transfer Data to Cloud Account (70%)
Exfiltration Over Alternative Protocol (60%)
Impact
Data Encrypted for Impact (90%)
Data Destruction (50%)
Defacement: Internal Defacement (40%)

Sources & References