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 Porsche AG'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 Porsche AG 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 Porsche AG breach identified under incident ID SEASKOBENPORVOLAUTVOL1770202467.
The analysis begins with a detailed overview of Porsche AG's information like the linkedin page: https://www.linkedin.com/company/porsche-ag, the number of followers: 2136918, the industry type: Motor Vehicle Manufacturing and the number of employees: 17041 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 806 and after the incident was 725 with a difference of -81 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 Porsche AG 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 moderate to high confidence (80%), supported by evidence indicating attack vector such as Phishing, Purchased Credentials, Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating attack vector such as Purchased Credentials, and Supply Chain Compromise (T1195) with moderate to high confidence (70%), 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 confidence (60%), supported by evidence indicating employee personal files and contracts compromised and Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating attack vector such as Purchased Credentials. 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 compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating confidentiality agreements, certificates, personnel records exfiltrated. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating 8Base claims data exfiltration on September 23, 2024 and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating data listed on 8Bases 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 (data encryption not confirmed) and Defacement (T1491) with moderate confidence (50%), supported by evidence indicating threatened public release of data by September 26, 2024. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate confidence (60%), supported by evidence indicating 8Base operates as data extortion group (prioritizes theft over encryption). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Porsche AG Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/porsche-ag/incident/SEASKOBENPORVOLAUTVOL1770202467
- Porsche AG CyberSecurity Rating page: https://www.rankiteo.com/company/porsche-ag
- Porsche AG Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/seaskobenporvolautvol1770202467-lamborghini-volkswagen-group-porsche-bentley-koda-seat-audi-ransomware-october-2025/
- Porsche AG CyberSecurity Score History: https://www.rankiteo.com/company/porsche-ag/history
- Porsche AG 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