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Analyze » Viking Line » VIK1773447885

Incident Score: Analysis & Impact (VIK1773447885)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-66
Company Score Before Incident757 / 1000
Company Score After Incident691 / 1000
Company LinkView Viking Line Profile
INCIDENT NUMBERVIK1773447885
Type of Cyber IncidentBreach
ATTACK VECTORThird-Party Supplier Compromise
DATA EXPOSEDCustomer information
INCIDENT DATE31/12/2024
STATUSpublished

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 VIK1773447885.

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 757 and after the incident was 691 with a difference of -66 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 based in Åland, has disclosed a data breach affecting customer information following a cybersecurity incident at one of its third-party service providers.

The disruption is felt across the environment, and exposing Customer information.

In response, and stakeholders are being briefed through Public disclosure.

The case underscores how teams are taking away lessons such as Highlights the growing risks associated with supply chain vulnerabilities in cybersecurity and the need for stricter vendor risk management, and recommending next steps like Stricter vendor risk management and enhanced supply chain security measures.

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 data breach following a cybersecurity incident at one of its third-party service providers and Compromise Software Supply Chain (T1195.002) with moderate to high confidence (80%), with evidence including third-Party Supplier Compromise, and growing risks associated with supply chain vulnerabilities. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate confidence (50%), supported by evidence indicating customer information compromised via third-party supplier. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating customer information affected following cybersecurity incident. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating data breach affecting customer information and Data from Cloud Storage (T1530) with moderate confidence (50%), supported by evidence indicating third-party service providers may store customer data. Under the Impact tactic, the analysis identified Defacement (T1491) with lower confidence (40%), supported by evidence indicating public disclosure of breach highlights brand reputation impact. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Supply Chain Compromise (90%)
Compromise Software Supply Chain (80%)
Credential Access
Steal Application Access Token (50%)
Collection
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (60%)
Data from Cloud Storage (50%)
Impact
Defacement (40%)

Sources & References