Incident Score: Analysis & Impact (SEASKOBENPORVOLAUTVOL1770202467)
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 Volkswagen'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 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 breach identified under incident ID SEASKOBENPORVOLAUTVOL1770202467.
The analysis begins with a detailed overview of Volkswagen's information like the linkedin page: https://www.linkedin.com/company/volkswagen, the number of followers: 705364, the industry type: Motor Vehicle Manufacturing and the number of employees: 11595 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 733 and after the incident was 614 with a difference of -119 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 and their customers.
On 23 September 2024, Volkswagen Group disclosed Data Extortion issues under the banner "Volkswagen Faces Data Extortion Threat from 8Base Ransomware Group".
Volkswagen Group is responding to claims by the ransomware group 8Base, which alleges it stole and leaked sensitive data from the automaker.
The disruption is felt across the environment, affecting Third-party or partner systems (core IT infrastructure unaffected), and exposing Sensitive data including invoices, receipts, accounting documents, employee personal files, contracts, confidentiality agreements, certificates, and personnel records.
In response, and stakeholders are being briefed through Public statement acknowledging the incident.
The case underscores how Ongoing.
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 Phishing (T1566) with high confidence (90%), supported by evidence indicating attack vector such as Phishing, Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating attack vector such as Purchased Credentials, and Supply Chain Compromise (T1195) with moderate to high confidence (80%), with evidence including possible third-party compromise, and core IT infrastructure remains unaffected. Under the Credential Access tactic, the analysis identified Gather Victim Identity Information (T1589) with moderate to high confidence (80%), supported by evidence indicating employee personal files and contracts compromised and Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating purchased Credentials as attack vector. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating invoices, receipts, accounting documents, employee personal files and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating confidentiality agreements, certificates, personnel records. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including data exfiltration such as true, and 8Base listed stolen data on dark web and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating threatened public release on dark web site. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1471) with lower confidence (30%), supported by evidence indicating phobos ransomware variant (though no encryption confirmed) and Financial Theft (T1657) with moderate to high confidence (80%), supported by evidence indicating invoices, receipts, accounting documents exfiltrated. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate confidence (60%), supported by evidence indicating 8Base known for double-extortion tactics and Hide Artifacts (T1564) with moderate confidence (50%), supported by evidence indicating core IT infrastructure unaffected (possible evasion). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Volkswagen Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/volkswagen/incident/SEASKOBENPORVOLAUTVOL1770202467
- Volkswagen CyberSecurity Rating page: https://www.rankiteo.com/company/volkswagen
- Volkswagen Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/seaskobenporvolautvol1770202467-lamborghini-volkswagen-group-porsche-bentley-koda-seat-audi-ransomware-october-2025/
- Volkswagen CyberSecurity Score History: https://www.rankiteo.com/company/volkswagen/history
- Volkswagen CyberSecurity Incident Source: https://cybersecuritynews.com/volkswagen-ransomware-attack/
- 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