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Analyze » Sterling Bank » STEREM1775473005

Incident Score: Analysis & Impact (STEREM1775473005)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-60
Company Score Before Incident774 / 1000
Company Score After Incident714 / 1000
Company LinkView Sterling Bank Profile
INCIDENT NUMBERSTEREM1775473005
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonal and financial data
INCIDENT DATE31/03/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Sterling 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 Sterling 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 Sterling Bank breach identified under incident ID STEREM1775473005.

The analysis begins with a detailed overview of Sterling Bank's information like the linkedin page: https://www.linkedin.com/company/sterling-bank-ltd, the number of followers: 169963, the industry type: Banking and the number of employees: 7347 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 774 and after the incident was 714 with a difference of -60 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 Sterling Bank and their customers.

On 01 April 2026, Remita Payment Services Ltd. disclosed Data Breach issues under the banner "NDPC Launches Investigation into Alleged Data Breach Involving Remita, Sterling Bank".

The Nigeria Data Protection Commission (NDPC) has initiated an investigation into a suspected data breach involving Remita Payment Services Ltd., Sterling Bank, and other entities, reflecting heightened regulatory oversight in Nigeria’s digital payments sector.

The disruption is felt across the environment, and exposing Personal and financial data.

Formal response steps have not been shared publicly yet.

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 Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating digital payment platforms without full compliance with data protection and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating suspected data breach involving Remita Payment Services Ltd.. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating vast amounts of personal and financial data are processed daily and Credentials from Password Stores (T1555) with moderate confidence (50%), supported by evidence indicating entities using digital payment platforms without full compliance. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personal and financial data compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating categories of personal data exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating scope of the breach includes data exposure risks and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating digital payments sector with vast data processing. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating potential risks to affected individuals and Data Manipulation: Transmitted Data Manipulation (T1565.002) with moderate confidence (50%), supported by evidence indicating financial data compromised in digital payments sector. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (60%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (70%)
Credentials from Password Stores (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (60%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (40%)
Data Manipulation: Transmitted Data Manipulation (50%)

Sources & References