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Analyze » Rejsekort & Rejseplan A/S » REJDANDAN1774492078

Incident Score: Analysis & Impact (REJDANDAN1774492078)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-17
Company Score Before Incident752 / 1000
Company Score After Incident735 / 1000
INCIDENT NUMBERREJDANDAN1774492078
Type of Cyber IncidentCyber Attack
ATTACK VECTORDistributed Denial-of-Service (DDoS)
DATA EXPOSEDNo data was compromised
INCIDENT DATE17/02/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Rejsekort & Rejseplan A/S's Cyber Attack 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 Rejsekort & Rejseplan A/S 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 Rejsekort & Rejseplan A/S breach identified under incident ID REJDANDAN1774492078.

The analysis begins with a detailed overview of Rejsekort & Rejseplan A/S's information like the linkedin page: https://www.linkedin.com/company/rejsekort-rejseplan-a-s, the number of followers: 2531, the industry type: IT Services and IT Consulting and the number of employees: 164 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 752 and after the incident was 735 with a difference of -17 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 Rejsekort & Rejseplan A/S and their customers.

Danish Foreign Ministry recently reported "Russian Hackers Launch DDoS Attacks on Danish Government and Businesses", a noteworthy cybersecurity incident.

Over the past month, Russian-based hackers have targeted approximately 40 Danish websites belonging to government ministries, municipalities, and private businesses.

The disruption is felt across the environment, affecting Websites and public transport app, and exposing No data was compromised.

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 lower confidence (30%), supported by evidence indicating targeted approximately 40 Danish websites belonging to government ministries. Under the Impact tactic, the analysis identified Network Denial of Service (T1498) with high confidence (90%), supported by evidence indicating dDoS incidents, overwhelmed servers with traffic, causing temporary outages and Endpoint Denial of Service (T1499) with moderate to high confidence (80%), supported by evidence indicating danish Foreign Ministry website offline for 3 hours, Rejsekort app 5-hour outage. Under the Resource Development tactic, the analysis identified Botnet (T1583.005) with moderate to high confidence (70%), supported by evidence indicating distributed denial-of-service (DDoS) incidents, overwhelmed servers with traffic. 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 (30%)
Impact
Network Denial of Service (90%)
Endpoint Denial of Service (80%)
Resource Development
Botnet (70%)

Sources & References