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Analyze » (주)GS리테일(GS Retail Inc.) » GS-1788144886

Incident Score: Analysis & Impact (GS-1788144886)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-170
Company Score Before Incident712 / 1000
Company Score After Incident542 / 1000
INCIDENT NUMBERGS-1788144886
Type of Cyber IncidentBreach
ATTACK VECTORCredential Stuffing
DATA EXPOSEDNames, gender, dates of birth,...
INCIDENT DATE31/12/2023
STATUSCompleted

Key Highlights From The Incident Analysis

  • Timeline of (주)GS리테일(GS Retail Inc.)'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 (주)GS리테일(GS Retail Inc.) 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 (주)GS리테일(GS Retail Inc.) breach identified under incident ID GS-1788144886.

The analysis begins with a detailed overview of (주)GS리테일(GS Retail Inc.)'s information like the linkedin page: https://www.linkedin.com/company/gs-retail, the number of followers: 3251, the industry type: Retail and the number of employees: 974 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 712 and after the incident was 542 with a difference of -170 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 (주)GS리테일(GS Retail Inc.) and their customers.

GS Retail Co. recently reported "GS Retail Data Breach and $9.3 Million Fine", a noteworthy cybersecurity incident.

South Korea’s Personal Information Protection Commission (PIPC) fined GS Retail Co.

The disruption is felt across the environment, affecting GS SHOP and GS25 login systems, member information modification pages, and exposing Names, gender, dates of birth, contact numbers, home addresses, email addresses, with nearly 1.66 million records at risk, plus an estimated financial loss of 12.8 billion won (US$9.3 million).

In response, and began remediation that includes Implementation of systems to identify suspicious connections, appointment of dedicated privacy protection personnel.

The case underscores how Completed, teams are taking away lessons such as Failure to detect abnormal activity (e.g., surge in login attempts from the same IP addresses) and lack of a dedicated privacy protection office contributed to the breach, and recommending next steps like Implement advanced security measures to detect suspicious connections, appoint dedicated privacy protection personnel, and enhance monitoring of login 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 Brute Force: Credential Stuffing (T1110.004) with high confidence (95%), supported by evidence indicating credential-stuffing attacks repeatedly injecting stolen user IDs and passwords. Under the Credential Access tactic, the analysis identified Brute Force: Credential Stuffing (T1110.004) with high confidence (95%), supported by evidence indicating exploited weak security controls by launching credential-stuffing attacks. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating bypass login systems using stolen user IDs and passwords and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating lacked a dedicated privacy protection office at the time of the incident. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating compromising data from member information modification pages. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating exposed the personal information of 1.66 million customers. Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (60%), supported by evidence indicating accessed member information modification pages. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Brute Force: Credential Stuffing (95%)
Credential Access
Brute Force: Credential Stuffing (95%)
Defense Evasion
Valid Accounts (90%)
Impair Defenses: Disable or Modify Tools (70%)
Collection
Data from Local System (90%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Impact
Data Manipulation: Stored Data Manipulation (60%)

Sources & References