Incident Score: Analysis & Impact (UNA1769103174)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of UnaFinancial'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 UnaFinancial 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 UnaFinancial breach identified under incident ID UNA1769103174.
The analysis begins with a detailed overview of UnaFinancial's information like the linkedin page: https://www.linkedin.com/company/unafinancial, the number of followers: 5981, the industry type: Financial Services and the number of employees: 201 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 625 with a difference of -130 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 UnaFinancial and their customers.
On 01 June 2025, Government of Kazakhstan (Citizens' Data) disclosed Data Breach issues under the banner "Kazakhstan's Largest-Ever Data Breach Exposing 16 Million Citizens' Personal Information".
Kazakhstan experienced its largest-ever data breach in summer 2025, exposing the personal information of over 16 million citizens (more than three-quarters of the population).
The disruption is felt across the environment, and exposing Personal information of over 16 million citizens, with nearly 16,000,000+ records at risk.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Need for stricter data protection laws and alignment with international standards (e.g., EU GDPR), and recommending next steps like Implement criminal liability for mass breaches, increase fines for security violations, and modernize cybersecurity frameworks.
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 largest-ever data breach in summer 2025, exposing personal information and Valid Accounts (T1078) with moderate confidence (50%), supported by evidence indicating 2024 leak affecting 2 million clients of microfinance platform *zaimer.kz*. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating personal information of over 16 million citizens compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personal information of over 16 million citizens exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach exposing 16 million citizens personal information and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating mass breaches and leaks of personal data. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating high-profile breaches, including 2024 leak affecting 2 million clients and Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating personal information of over 16 million citizens exposed. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- UnaFinancial Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/unafinancial/incident/UNA1769103174
- UnaFinancial CyberSecurity Rating page: https://www.rankiteo.com/company/unafinancial
- UnaFinancial Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/una1769103174-zaimerkz-breach-june-2024/
- UnaFinancial CyberSecurity Score History: https://www.rankiteo.com/company/unafinancial/history
- UnaFinancial CyberSecurity Incident Source: https://timesca.com/kazakhstan-considere-criminal-liability-for-mass-leaks-of-personal-data/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf