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Analyze » Scania Group » 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-112
Company Score Before Incident755 / 1000
Company Score After Incident643 / 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 Scania 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 Scania 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 Scania Group breach identified under incident ID NISSCATOYVOLKAWAVIJAG1775680268.

The analysis begins with a detailed overview of Scania Group's information like the linkedin page: https://www.linkedin.com/company/scania, the number of followers: 684946, the industry type: Motor Vehicle Manufacturing and the number of employees: 38365 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 755 and after the incident was 643 with a difference of -112 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 Scania 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%), 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 third-party breach led to leak of network credentials (Toyota), and Trusted Relationship (T1199) with high confidence (90%), with evidence including third-party breach (Toyota, Scania), and aDRecon used to map Active Directory environments. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (70%), with evidence including exploited vulnerabilities in Cleo software (Hertz), and aDRecon for Active Directory mapping (Toyota) and Command and Scripting Interpreter (T1059) 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%), with evidence including compromised credentials from an IT partner (Scania), and network credentials leaked (Toyota). Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating aDRecon used to map Active Directory environments (Toyota) and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating compromised credentials from an IT partner (Scania). Under the Defense Evasion 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 Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating ransomware attacks (RansomHub, Clop, Qilin). 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 to high confidence (80%), with evidence including network credentials leaked (Toyota), and compromised credentials from IT partner (Scania). 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%), with evidence including 4TB of design data stolen (Nissan), and 487GB of sensitive data stolen (Kawasaki). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including 240GB of data leaked (Toyota), 487GB of sensitive data stolen (Kawasaki), and 4TB of design data stolen (Nissan) and Data from Information Repositories (T1213) with moderate to high confidence (80%), with evidence including geolocation records from 800,000 vehicles (Volkswagen), and insurance claim documents stolen (Scania). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including data exfiltration confirmed (Toyota, Kawasaki, Nissan), and 4TB of design data stolen (Nissan) 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%), with evidence including ransomware strains (RansomHub, Clop, Qilin), and data encryption confirmed, Inhibit System Recovery (T1490) with moderate to high confidence (70%), with evidence including production halts (Jaguar Land Rover), and operational delays, and Data Destruction (T1485) with moderate confidence (60%), supported by evidence indicating 487GB of sensitive data dumped online (Kawasaki). 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%)
Valid Accounts (90%)
Trusted Relationship (90%)
Execution
Exploitation for Client Execution (70%)
Command and Scripting Interpreter (60%)
Persistence
Valid Accounts (80%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Valid Accounts (80%)
Defense Evasion
Valid Accounts (80%)
Impair Defenses: Disable or Modify Tools (60%)
Credential Access
OS Credential Dumping (70%)
Unsecured Credentials: Credentials In Files (80%)
Discovery
Account Discovery (80%)
File and Directory Discovery (70%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (70%)
Impact
Data Encrypted for Impact (90%)
Inhibit System Recovery (70%)
Data Destruction (60%)