Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Medibank » MED1765218566

Incident Score: Analysis & Impact (MED1765218566)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-59
Company Score Before Incident629 / 1000
Company Score After Incident570 / 1000
INCIDENT NUMBERMED1765218566
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDTrue
INCIDENT DATE07/12/2025
STATUSOngoing (Class Actions Pending Trial)

Key Highlights From The Incident Analysis

  • Timeline of Medibank'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 Medibank 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 Medibank breach identified under incident ID MED1765218566.

The analysis begins with a detailed overview of Medibank's information like the linkedin page: https://www.linkedin.com/company/medibank, the number of followers: 57512, the industry type: Insurance and the number of employees: 3777 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 629 and after the incident was 570 with a difference of -59 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 Medibank and their customers.

Optus recently reported "Optus and Medibank Private Data Breach Class Actions", a noteworthy cybersecurity incident.

Australian insurers have largely avoided mass third-party litigation from major cyber incidents, but this grace period may end with the Optus and Medibank Private data breach class actions.

The disruption is felt across the environment, and exposing True.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (Class Actions Pending Trial).

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 Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating potential negligence in data security (post_incident_analysis) and Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating high sensitivity_of_data implies likely external access. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with moderate to high confidence (80%), supported by evidence indicating data compromised such as true,personally identifiable information such as true and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating large-scale breaches (Optus/Medibank) imply data movement. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating identity theft risk such as true,legal liabilities such as true and Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating ransomware not confirmed but implied by breach scale. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.