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Analyze » Statistics South Africa » STA1774844935

Incident Score: Analysis & Impact (STA1774844935)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-158
Company Score Before Incident776 / 1000
Company Score After Incident618 / 1000
INCIDENT NUMBERSTA1774844935
Type of Cyber IncidentRansomware
ATTACK VECTORNA
DATA EXPOSED154GB (453,362 files)
INCIDENT DATE29/03/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Statistics South Africa'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 Statistics South Africa 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 Statistics South Africa breach identified under incident ID STA1774844935.

The analysis begins with a detailed overview of Statistics South Africa's information like the linkedin page: https://www.linkedin.com/company/statssa, the number of followers: 163180, the industry type: Government Administration and the number of employees: 4288 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 776 and after the incident was 618 with a difference of -158 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 Statistics South Africa and their customers.

Stats SA recently reported "South Africa’s Stats SA Hit by XP95 Cyberattack, 154GB of HR Data Stolen", a noteworthy cybersecurity incident.

South Africa’s national statistics agency, Stats SA, has confirmed a data breach affecting its human resources database, with cybercriminal group XP95 claiming responsibility.

The disruption is felt across the environment, affecting HR database, job application system, and exposing 154GB (453,362 files), with nearly 453,362 files records at risk.

In response, and stakeholders are being briefed through Public acknowledgment, notification to Information Regulator.

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 breach targets the agency’s HR system, which allows job seekers to apply online and External Remote Services (T1133) with moderate confidence (50%), supported by evidence indicating hR system allows online job applications, potential entry point. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating hR data, job application information compromised (high sensitivity PII) and Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating 453,362 files exfiltrated, likely containing stored credentials. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 154GB (453,362 files) exfiltrated from HR database and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating hR system targeted, containing job application data. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating attackers allege they exfiltrated 154GB of data and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating threatening to leak full archive if ransom not paid. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating type such as Ransomware, though encryption not explicitly confirmed and Data Encrypted for Impact: Data Manipulation (T1471) with lower confidence (40%), supported by evidence indicating ransom demand implies potential data manipulation threat. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate confidence (60%), supported by evidence indicating exfiltration and ransom demands suggest C2 communication. 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%)
External Remote Services (50%)
Credential Access
OS Credential Dumping (70%)
Unsecured Credentials: Credentials In Files (60%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (70%)
Impact
Data Encrypted for Impact (50%)
Data Encrypted for Impact: Data Manipulation (40%)
Command and Control
Application Layer Protocol (60%)

Sources & References