Incident Score: Analysis & Impact (GS-1788150360)
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Rankiteo Score Impact Analysis
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-1788150360.
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 773 and after the incident was 703 with a difference of -70 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.
nRiZE (Wippy) recently reported "South Korean Regulator Fines Dating App Wippy and GS Retail for Major Data Breaches", a noteworthy cybersecurity incident.
South Korea’s Personal Information Protection Commission (PIPC) has imposed fines on two companies, nRiZE (operator of the dating app Wippy) and retail giant GS Retail, for failing to prevent large-scale data breaches that exposed sensitive user information.
The disruption is felt across the environment, affecting Wippy identity verification system and GS SHOP and GS25 platforms, and exposing {'Wippy': '736 user profiles (nicknames, gender, photos, dates of birth, education, occupation, height, blood type)', 'GS Retail': '1.66 million users (names, birthdates, contact details, addresses, email addresses)'}, with nearly {'Wippy': '736', 'GS Retail': '1.66 million'} records at risk, plus an estimated financial loss of {'Wippy': '₩118.44 million ($86,000)', 'GS Retail': '₩12.84 billion ($9.3 million)'}.
Formal response steps have not been shared publicly yet.
The case underscores how Completed, teams are taking away lessons such as Critical lapses in cybersecurity protocols, including the absence of rate-limiting measures and delayed threat detection, and recommending next steps like Implement rate-limiting measures, Enhance threat detection capabilities and Monitor for excessive access attempts.
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 to high confidence (80%), supported by evidence indicating attacker exploited a vulnerability in the app’s identity verification system and Brute Force: Credential Stuffing (T1110.004) with high confidence (90%), supported by evidence indicating credential-stuffing attack that exposed the data of 1.66 million users. Under the Credential Access tactic, the analysis identified Brute Force: Credential Stuffing (T1110.004) with high confidence (90%), supported by evidence indicating attackers extracting names, birthdates, contact details, addresses, email addresses and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating same 327 IP addresses being used in both GS SHOP and GS25 incidents. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating attempting logins with 16,803 mobile phone numbers. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 736 user profiles...leaking nicknames, gender, photos, dates of birth, height, blood type and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating 1.66 million users...names, birthdates, contact details, addresses, email addresses. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach exposing sensitive user information. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating failure to detect excessive access attempts from the same IP address and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating absence of rate-limiting measures and delayed threat detection. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating large-scale data breaches that exposed sensitive user information. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- (주)GS리테일(GS Retail Inc.) Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/gs-retail/incident/GS-1788150360
- (주)GS리테일(GS Retail Inc.) CyberSecurity Rating page: https://www.rankiteo.com/company/gs-retail
- (주)GS리테일(GS Retail Inc.) Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/gs-1788150360-gs-retail-breach-march-2023/
- (주)GS리테일(GS Retail Inc.) CyberSecurity Score History: https://www.rankiteo.com/company/gs-retail/history
- (주)GS리테일(GS Retail Inc.) CyberSecurity Incident Source: https://finance.biggo.com/news/18fc3dab-8a16-4281-8e0c-f5b9b1345d8e
- 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