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Analyze » Ministry of Labour and Social Protection of Moldova » MIN1777559026

Incident Score: Analysis & Impact (MIN1777559026)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-24
Company Score Before Incident777 / 1000
Company Score After Incident753 / 1000
Company LinkView Ministry of Labour and Social Protection of Moldova Profile
INCIDENT NUMBERMIN1777559026
Type of Cyber IncidentCyber Attack
ATTACK VECTORNA
DATA EXPOSEDPersonal information and payment records
INCIDENT DATE14/04/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Ministry of Labour and Social Protection of Moldova'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 Ministry of Labour and Social Protection of Moldova 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 Ministry of Labour and Social Protection of Moldova breach identified under incident ID MIN1777559026.

The analysis begins with a detailed overview of Ministry of Labour and Social Protection of Moldova's information like the linkedin page: https://www.linkedin.com/company/ministry-of-health-labour-and-social-protection-of-moldova, the number of followers: 12, the industry type: Government Administration and the number of employees: 48 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 777 and after the incident was 753 with a difference of -24 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 Ministry of Labour and Social Protection of Moldova and their customers.

National Health Insurance Company (CNAM) recently reported "Cyberattack on Moldova’s Health Insurance System", a noteworthy cybersecurity incident.

Moldova’s National Health Insurance Company (CNAM) confirmed a cyberattack that may have exfiltrated limited data from its systems.

The disruption is felt across the environment, affecting National Health Insurance Company (CNAM) database, and exposing Personal information and payment records, with nearly Up to one-third of CNAM’s database records at risk.

In response, moved swiftly to contain the threat with measures like Quick containment of the attack.

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 Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating cyberattack on Moldova’s National Health Insurance Company (CNAM) and Trusted Relationship (T1199) with moderate confidence (50%), supported by evidence indicating possible external involvement, including potential links to Russian actors. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating personal information and payment records tied to the national healthcare system. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating up to one-third of CNAM’s database...may have been compromised and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating database includes personal information and payment records. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating hackers may have exfiltrated limited data from its systems and Automated Exfiltration (T1020) with moderate to high confidence (70%), supported by evidence indicating attack may have compromised up to one-third of CNAM’s database. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate confidence (60%), supported by evidence indicating attack was contained quickly, suggesting C2 communication. Under the Impact tactic, the analysis identified Defacement (T1491) with lower confidence (40%), supported by evidence indicating attack is the most serious among multiple cyber incidents and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating integrity of its core database remained intact (implied tampering attempt). 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 (60%)
Trusted Relationship (50%)
Credential Access
OS Credential Dumping (70%)
Collection
Data from Local System (80%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Automated Exfiltration (70%)
Command and Control
Application Layer Protocol (60%)
Impact
Defacement (40%)
Data Manipulation: Stored Data Manipulation (50%)

Sources & References