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Analyze » The Dai-ichi Life Insurance Company, Limited » METNIPTHE1773829914

Incident Score: Analysis & Impact (METNIPTHE1773829914)

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 Incident755 / 1000
Company Score After Incident689 / 1000
Company LinkView The Dai-ichi Life Insurance Company, Limited Profile
INCIDENT NUMBERMETNIPTHE1773829914
Type of Cyber IncidentBreach
ATTACK VECTORInsider Threat
DATA EXPOSEDSeveral thousand data records
INCIDENT DATE31/12/2025
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of The Dai-ichi Life Insurance Company, Limited'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 The Dai-ichi Life Insurance Company, Limited 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 The Dai-ichi Life Insurance Company, Limited breach identified under incident ID METNIPTHE1773829914.

The analysis begins with a detailed overview of The Dai-ichi Life Insurance Company, Limited's information like the linkedin page: https://www.linkedin.com/company/the-dai-ichi-life-insurance-company-limited, the number of followers: 5261, the industry type: Insurance and the number of employees: 638 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 755 and after the incident was 689 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 The Dai-ichi Life Insurance Company, Limited and their customers.

MetLife Insurance KK recently reported "MetLife Japan Probes Unauthorized Data Transfer by Employee", a noteworthy cybersecurity incident.

MetLife Insurance KK is investigating a suspected unauthorized data transfer by an employee, marking a significant security incident in Japan’s life insurance sector.

The disruption is felt across the environment, and exposing Several thousand data records, with nearly Several thousand records at risk.

In response, teams activated the incident response plan, and stakeholders are being briefed through Findings to be disclosed post-investigation.

The case underscores how Ongoing, teams are taking away lessons such as Highlights escalating risks tied to employee mobility and third-party collaborations in industries managing sensitive financial and personal data.

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 high confidence (90%), supported by evidence indicating employee, temporarily assigned to another organization, allegedly accessed. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate confidence (50%), supported by evidence indicating accessed and removed company-related information without approval. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating accessed and removed company-related information and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating several thousand data records may have been affected. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating unauthorized data transfer by an employee and Exfiltration Over Physical Medium (T1052) with moderate to high confidence (70%), supported by evidence indicating removed company-related information without approval. Under the Defense Evasion tactic, the analysis identified Hide Artifacts (T1564) with moderate confidence (60%), supported by evidence indicating temporarily assigned to another organization and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating employee...accessed and removed company-related information. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating several thousand data records may have been affected. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (90%)
Credential Access
Credentials from Password Stores (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (60%)
Exfiltration Over Physical Medium (70%)
Defense Evasion
Hide Artifacts (60%)
Valid Accounts (80%)
Impact
Data Destruction (40%)

Sources & References