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Analyze » BMW France » VOLBMW1770601965

Incident Score: Analysis & Impact (VOLBMW1770601965)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-111
Company Score Before Incident743 / 1000
Company Score After Incident632 / 1000
INCIDENT NUMBERVOLBMW1770601965
Type of Cyber IncidentRansomware
ATTACK VECTORNA
DATA EXPOSED150GB
INCIDENT DATE13/10/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of BMW France'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 BMW France 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 BMW France breach identified under incident ID VOLBMW1770601965.

The analysis begins with a detailed overview of BMW France's information like the linkedin page: https://www.linkedin.com/company/bmwfrance, the number of followers: 42066, the industry type: Motor Vehicle Manufacturing and the number of employees: 1 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 743 and after the incident was 632 with a difference of -111 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 BMW France and their customers.

On 14 October 2023, Volkswagen Group France disclosed ransomware issues under the banner "Volkswagen Group France Hit by Qilin Ransomware Attack".

The cybercriminal group Qilin has claimed responsibility for a ransomware attack on Volkswagen Group France, compromising approximately 150 gigabytes of sensitive data.

The disruption is felt across the environment, and exposing 150GB.

Formal response steps have not been shared publicly yet.

Overall, the incident is a reminder of why proactive monitoring and strong governance matter.

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 confidence (50%), supported by evidence indicating surge in cyberattacks targeting the automotive industry and External Remote Services (T1133) with lower confidence (40%), supported by evidence indicating reliance on interconnected systems. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate confidence (60%), supported by evidence indicating qilin ransomware attack. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating confidential business and employee records compromised and Unsecured Credentials: Credentials In Files (T1552.001) with lower confidence (40%), supported by evidence indicating 150GB of sensitive data stolen. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate confidence (60%), supported by evidence indicating detailed vehicle data, chassis numbers, license plates exposed and Account Discovery: Domain Account (T1087.002) with moderate confidence (50%), supported by evidence indicating employee records compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating 150GB of sensitive data stolen including personal information and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating business records and employee records compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating 150GB of data stolen, data exfiltration confirmed and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate confidence (50%), supported by evidence indicating qilin published six documents on their leak platform. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (70%), supported by evidence indicating qilin ransomware attack and Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating significant impact with customers data leaks. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate confidence (60%), supported by evidence indicating qilin ransomware strain and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating automotive industry targeted due to interconnected systems. 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 (50%)
External Remote Services (40%)
Execution
User Execution: Malicious File (60%)
Credential Access
OS Credential Dumping (50%)
Unsecured Credentials: Credentials In Files (40%)
Discovery
File and Directory Discovery (60%)
Account Discovery: Domain Account (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service: Exfiltration to Cloud Storage (50%)
Impact
Data Encrypted for Impact (70%)
Data Destruction (40%)
Defense Evasion
Obfuscated Files or Information (60%)
Impair Defenses: Disable or Modify Tools (50%)

Sources & References