Incident Score: Analysis & Impact (GSB1768350855)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Great Southern Bank'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 Great Southern Bank 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 Great Southern Bank breach identified under incident ID GSB1768350855.
The analysis begins with a detailed overview of Great Southern Bank's information like the linkedin page: https://www.linkedin.com/company/gsbankau, the number of followers: 26068, the industry type: Banking and the number of employees: 886 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 758 and after the incident was 665 with a difference of -93 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 Great Southern Bank and their customers.
On 16 January 2026, GSPlatformCo Inc (ANKA e-commerce platform) disclosed Data Breach issues under the banner "GSPlatformCo Inc and Global Shop Solutions Data Breach".
GSPlatformCo Inc, the company behind the ANKA e-commerce platform and its parent company, Global Shop Solutions, experienced a major data breach affecting 537,877 individuals in the United States, including 102 residents of Maine.
The disruption is felt across the environment, affecting Non-core customer data system, and exposing Personally identifiable information (PII) including names, contact information (email addresses), demographic data, account status, and basic transaction history, with nearly 537,877 records at risk.
In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Immediate security investigation and hardening of environment against further unauthorized access, and began remediation that includes Confirmed current systems are secure; limited compromised data to an older snapshot, and stakeholders are being briefed through Electronic notifications to affected users; guidance on phishing vigilance.
The case underscores how Ongoing, and recommending next steps like Users advised to use strong, unique passwords; remain vigilant against phishing attempts and spam; treat unexpected messages with caution, with advisories going out to stakeholders covering Guidance provided to affected users on phishing vigilance and account security.
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 unauthorized access to a non-core customer data system and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating no details on attack vector; possible prior credential compromise. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with lower confidence (40%), supported by evidence indicating non-core system contained a seven-month-old snapshot of data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, contact details, demographic data, account status compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach impacting 537,877 individuals; no financial data compromised. Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating unauthorized access to a non-core customer data system. Under the Defense Evasion tactic, the analysis identified Indicator Removal: Clear Windows Event Logs (T1070.001) with lower confidence (40%), supported by evidence indicating no details on attack vector or detection timeline. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Great Southern Bank Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/gsbankau/incident/GSB1768350855
- Great Southern Bank CyberSecurity Rating page: https://www.rankiteo.com/company/gsbankau
- Great Southern Bank Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/gsb1768350855-anka-breach-november-2025/
- Great Southern Bank CyberSecurity Score History: https://www.rankiteo.com/company/gsbankau/history
- Great Southern Bank CyberSecurity Incident Source: https://www.claimdepot.com/data-breach/gsplatformco-2026
- 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