Incident Score: Analysis & Impact (STA1774866616)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Stats SA's Ransomware 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 Stats SA 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 Stats SA breach identified under incident ID STA1774866616.
The analysis begins with a detailed overview of Stats SA's information like the linkedin page: https://www.linkedin.com/company/stats-sa, the number of followers: 300, the industry type: Accounting and the number of employees: 234 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 756 and after the incident was 602 with a difference of -154 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 Stats SA and their customers.
Statistics South Africa (Stats SA) recently reported "Stats SA Hit by Ransomware Attack: Hackers Claim Theft of 450,000 Files", a noteworthy cybersecurity incident.
South Africa’s national statistics agency, Statistics South Africa (Stats SA), has been targeted in a ransomware attack by the cybercrime group XP95, which claims to have stolen over 450,000 files totaling 154 GB of data.
The disruption is felt across the environment, and exposing 450,000 files (154 GB), with nearly 450,000 files records at risk.
In response, teams activated the incident response plan.
The case underscores how Ongoing, and recommending next steps like Strengthened cybersecurity measures (network segmentation, regular security audits, employee training, robust backup systems).
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 (50%), supported by evidence indicating second major government-related cyber incident in South Africa this month and Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with lower confidence (30%), supported by evidence indicating supply chain such as false (explicitly stated). Under the Credential Access tactic, the analysis identified Adversary-in-the-Middle (T1557) with lower confidence (40%), supported by evidence indicating vast amounts of personal data they hold, exploited for fraud and Brute Force: Password Spraying (T1110.003) with lower confidence (40%), supported by evidence indicating government institutions are prime targets due to data volume. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 450,000 files (154 GB) stolen, including census records and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating national statistics data (economic indicators, household surveys). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating 154 GB of data stolen, double extortion tactic employed and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate confidence (60%), supported by evidence indicating threatening to leak or sell data if payment is not made. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (70%), supported by evidence indicating ransomware attack by XP95,type such as Ransomware and Defacement: External Defacement (T1491.002) with moderate confidence (50%), supported by evidence indicating undermine public trust in government data collection. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating government institutions targeted, likely using stolen credentials and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating attack vector not disclosed, likely evaded defenses. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Stats SA Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/stats-sa/incident/STA1774866616
- Stats SA CyberSecurity Rating page: https://www.rankiteo.com/company/stats-sa
- Stats SA Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/sta1774866616-statistics-south-africa-ransomware-march-2026/
- Stats SA CyberSecurity Score History: https://www.rankiteo.com/company/stats-sa/history
- Stats SA CyberSecurity Incident Source: https://centralnews.co.za/statistics-south-africa-hit-by-ransomware-attack-hackers-claim-theft-of-450000-files/
- 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