Incident Score: Analysis & Impact (VIK1773312326)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Viking Line's Breach 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 Viking Line 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 Viking Line breach identified under incident ID VIK1773312326.
The analysis begins with a detailed overview of Viking Line's information like the linkedin page: https://www.linkedin.com/company/viking-line, the number of followers: 21250, the industry type: Travel Arrangements and the number of employees: 1247 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 706 and after the incident was 643 with a difference of -63 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 Viking Line and their customers.
Viking Line recently reported "Viking Line Data Breach via Third-Party Supplier", a noteworthy cybersecurity incident.
Viking Line, a ferry operator, reported a data breach affecting customer information after a security incident at a third-party subcontractor responsible for pre-order services, including onboard purchases and reservations.
The disruption is felt across the environment, affecting Third-party pre-order services (NetAxept API), and exposing Advance booking details, passenger personal information, vehicle registration plates, payment transaction records.
In response, teams activated the incident response plan, and stakeholders are being briefed through Public disclosure via media outlets.
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 Supply Chain Compromise (T1195) with high confidence (90%), supported by evidence indicating security incident at a third-party subcontractor responsible for pre-order services and Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), supported by evidence indicating third-party subcontractor responsible for pre-order services (NetAxept API). Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating access to...payment transaction records linked to onboard services via the NetAxept API. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating full passenger database including vehicle registration plates and payment records and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating advance booking details, passenger personal information compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating samples of the data were reportedly made available for free download and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating data exfiltration via dark web forums (bytetobreach). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but samples were leaked and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating potential manipulation of passenger data (vehicle plates, payments). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Viking Line Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/viking-line/incident/VIK1773312326
- Viking Line CyberSecurity Rating page: https://www.rankiteo.com/company/viking-line
- Viking Line Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/vik1773312326-viking-line-breach-march-2026/
- Viking Line CyberSecurity Score History: https://www.rankiteo.com/company/viking-line/history
- Viking Line CyberSecurity Incident Source: https://www.shippax.com/en/news/viking-line-hit-by-data-breach.aspx
- 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